system

Abstract

We provide the system. [Solution] A server that receives user attribute information and selects appropriate learning materials based on the user's learning progress and learning interests, A terminal that provides learning materials transmitted from the aforementioned server to the user and tracks the user's learning activities, A server analyzes the learning progress data transmitted from the terminal, evaluates the level of achievement according to the learning status, and awards points or badges to the user. A system that includes this.

Description

【Technical Field】 【0001】 The technology of the present disclosure relates to a system. 【Background Art】 【0002】 Patent Document 1 discloses a persona chatbot control method performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. 【Prior Art Documents】 【Patent Documents】 【0003】 【Patent Document 1】 Japanese Patent Application Laid-Open No. 2022-180282 【Summary of the Invention】 【Problems to be Solved by the Invention】 【0004】 In modern home learning, it is a problem to improve the learning motivation of primary school students and manage an appropriate learning progress. With conventional learning methods, it is difficult to provide teaching materials according to the interests of students, and the motivation for learning tends to decline. In addition, there is a problem that it is difficult to provide appropriate learning support within the family because there is a lack of a mechanism for effectively reporting the learning progress to guardians. 【Means for Solving the Problems】 【0005】 This invention provides a system comprising a server that provides learning materials optimized for the user's learning progress and interests based on user attribute information, and a terminal that tracks and analyzes the user's learning activities. It also includes a function to manage learning schedules using friendly characters and remind users of study time. Furthermore, it generates learning progress reports and sends them to parents via email or app notifications, enabling effective learning support at home. The aim is to improve students' motivation to learn and enhance the efficiency and effectiveness of home learning. 【0006】 A "user" is an individual, primarily elementary school students, who use the system to advance their learning. 【0007】 "Attribute information" refers to basic information about the user, such as the user's name, age, grade level, and learning interests. 【0008】 "Learning progress" is an indicator that shows how well a user has studied and understood the learning materials. 【0009】 "Learning interests" refer to the learning areas or themes that a user is particularly interested in. 【0010】 A "server" is a computer system that receives user attribute information, selects appropriate learning materials based on this information, and sends them to the terminal. 【0011】 A "terminal" is a device that provides learning materials from a server to the user and tracks the user's learning activity in real time. 【0012】 "Educational materials" refer to educational content provided according to the user's learning progress and interests. 【0013】 "Learning activities" refer to actions that users perform through their devices, such as viewing learning materials or answering questions. 【0014】 "Points" are an evaluation metric awarded to users based on their learning progress. 【0015】 A "badge" is a type of reward given to a user when they achieve specific learning outcomes. 【0016】 A "character" is an entity represented by animation or voice that is easy for users to relate to and supports learning reminders and schedule management. 【0017】 A "report" is a document summarizing a user's learning progress and is information provided to guardians. 【0018】 An "email" is a means of transmitting information using an email system. 【0019】 An "app notification" is a function that transmits information to users and guardians in real time through the applications of mobile devices. 【Brief Description of Drawings】 【0020】 [Figure 1] It is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8]It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when the emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when the emotion engine is combined. 【Mode for Carrying Out the Invention】 【0021】 Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings. 【0022】 First, the terms used in the following description will be explained. 【0023】 In the following embodiments, the signed processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of a plurality of arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of a plurality of types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like. 【0024】 In the following embodiments, signed RAM (Random Access Memory) is a memory that temporarily stores information and is used as work memory by the processor. 【0025】 In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes. 【0026】 In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark). 【0027】 In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or." 【0028】 [First Embodiment] 【0029】 Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment. 【0030】 As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server. 【0031】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0032】 The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52. 【0033】 The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input. 【0034】 The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor. 【0035】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54. 【0036】 Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14. 【0037】 As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30. 【0038】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0039】 In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0040】 Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal". 【0041】 This invention provides a home learning support system for elementary school students, enabling progress management and the provision of learning materials based on their interests. The system operates between a server, a terminal, and a user, each functioning as follows. 【0042】 1. User registration and profile settings 【0043】 The terminal provides users with a means to input attribute information such as name, age, grade level, and learning interests through a registration screen. Once the user enters and submits this information, the terminal sends it to the server. The server receives this information, creates a user profile, and stores it in a database. 【0044】 2. Selection and provision of teaching materials 【0045】 The server analyzes the user profile and selects the most suitable learning materials based on the user's learning interests and progress. This ensures that the user is provided with the most appropriate materials, enabling engaging and deeper learning. The server sends the selected materials to the device, which then presents them to the user. 【0046】 3. Tracking and analyzing learning activities 【0047】 The device monitors the user's learning activity in real time, recording the user's viewing status of learning materials and their response status to problems. The device periodically sends this data to the server. The server analyzes the received data and evaluates the user's learning progress and understanding. Based on the results, it suggests the next learning materials and activities to be provided. 【0048】 4. Providing a function to maintain motivation 【0049】 The server evaluates the user's learning progress and awards points according to their achievement level. It also awards badges to users who meet certain conditions and sends this information to their device. The device notifies the user of point and badge acquisitions through animations and audio to maintain motivation for learning. Furthermore, it uses friendly characters to manage learning schedules and provide reminders for study time. 【0050】 5. Reporting learning progress to parents / guardians 【0051】 The server generates a learning progress report and provides it to parents via email or app notification. By reviewing this report, parents can understand their child's learning situation and set appropriate support and next learning goals. 【0052】 Specific example 【0053】 For example, if the user is an elementary school student interested in science, the device will prioritize providing science-related learning materials. When the user studies the "structure of planets" material, the device records their progress and sends it to the server. The server evaluates the user's understanding from the data and suggests more advanced materials, such as "the formation of the solar system," for the next session. As the user progresses through the learning activities and achieves high scores, the device will award them a badge such as "Astronomy Beginner Master" to create a sense of accomplishment. 【0054】 As described above, the present invention provides a user-specific learning experience and improves the efficiency and enjoyment of home learning. 【0055】 The following describes the processing flow. 【0056】 Step 1: 【0057】 The device displays a user registration screen to the user. The user enters attribute information such as name, age, grade level, and learning interests, and then presses the "Register" button. 【0058】 Step 2: 【0059】 The terminal sends attribute information entered by the user to the server. The server creates a user profile based on the received information and saves it in the database. 【0060】 Step 3: 【0061】 The server analyzes the user profile and selects appropriate learning materials based on the user's learning interests and existing learning progress. The selected materials are then sent to the user's device. 【0062】 Step 4: 【0063】 The device displays learning materials received from the server to the user, allowing the user to proceed with their learning. 【0064】 Step 5: 【0065】 The device tracks the user's learning activity in real time, recording which learning materials were studied, to what extent, and the accuracy rate of questions answered correctly. The recorded data is periodically sent to the server. 【0066】 Step 6: 【0067】 The server analyzes the received learning data to evaluate the user's learning progress and understanding. Based on these results, it determines the next learning materials and activities to be provided. 【0068】 Step 7: 【0069】 The server evaluates the user's learning progress and generates points or badges for them. The generated points and badge information is then sent to the device. 【0070】 Step 8: 【0071】 The device notifies the user of points and badges earned through animation and audio, increasing their motivation to learn. 【0072】 Step 9: 【0073】 The server generates a report summarizing the user's learning progress and sends it to the parent / guardian via email or app notification. Parents / guardians can review the progress report and share information with the user, such as setting the next learning goals. 【0074】 (Example 1) 【0075】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal." 【0076】 In education, providing learning materials tailored to each learner's progress and interests is crucial, but traditional educational support systems have struggled to achieve this efficiently. Furthermore, there is a need for a rapid means of monitoring learning progress, providing feedback based on that progress, and appropriately communicating learning status to parents. Additionally, interactive elements to maintain learner motivation and mechanisms to foster a sense of accomplishment are insufficient. 【0077】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0078】 In this invention, the server includes means for receiving user attribute information and selecting appropriate educational resources based on the user's learning progress and learning interests; means for proposing the next learning step based on the user's interests using a generative AI model; and means for analyzing learning progress information transmitted from the display device, evaluating the degree of achievement according to the learning situation, and awarding scores or rewards to the user. This enables personalized learning support for learners, improves the efficiency and enjoyment of learning, and allows for quick and accurate reporting of learning status to parents. 【0079】 "User attribute information" refers to basic information about the learner, including data such as name, age, grade level, and learning interests. 【0080】 "Learning progress" is an indicator that shows how well learners are progressing toward a specific educational goal. 【0081】 "Educational resources" refer to learning materials and content used by learners, and include texts, videos, and interactive content. 【0082】 An "information processing device" is a device such as a computer or server that processes data and makes decisions based on instructions. 【0083】 A "display device" is a terminal that provides visual information to a user, and includes monitors and displays. 【0084】 A "generative AI model" is a learning algorithm model that uses artificial intelligence technology to perform a specific task. 【0085】 A "score" is a numerical representation used to evaluate learning activities. 【0086】 "Rewards" refer to incentives such as badges and points given to increase learners' motivation. 【0087】 This invention is a home learning support system for elementary school students, and includes functions for providing educational resources based on the user's learning interests and progress, tracking and analyzing learning activities, maintaining motivation, and reporting learning progress to parents. Specific embodiments of each component of the system are described below. 【0088】 The server interacts with a database server to receive user attribute information and build a user profile. This process uses MySQL® as the database system and employs the HTTPS protocol for secure data transfer. The server further uses a generative AI model to select educational resources that match the user's interests and learning progress. This AI model is a machine learning algorithm built using Python and suggests the next steps based on past learning data. 【0089】 The devices utilize tablets or computers equipped with multi-function displays as a means of displaying educational resources to users. While users are learning from these educational resources, the devices track their learning activities in real time and send the collected data to a server. GUI libraries are used to improve the usability of the devices and provide an intuitive learning experience. 【0090】 The server uses data analysis tools to analyze the received training data and evaluate the user's progress and understanding. The analysis utilizes Python libraries such as Pandas and Scikit-learn to calculate learning trends and achievements. Based on the results, the server assigns scores and rewards to the user and sends this information to the terminal. 【0091】 Users progress through their learning using the displayed educational resources, and their motivation is enhanced by animations and audio feedback displayed on the device screen as a motivational feature. Furthermore, user-friendly dynamic display elements manage the learning schedule and provide learning reminders, enabling users to create efficient learning plans. 【0092】 For example, if a user is interested in science, the device will prioritize displaying science-related educational resources. The server will evaluate the user's learning progress and suggest the next educational resource, such as "The Formation of the Solar System," for a user who is learning about "The Structure of Planets." Furthermore, if a user achieves a high score, a reward such as "Master of Basic Astronomy" will be displayed on the device screen to create a sense of accomplishment. 【0093】 An example of a prompt is, "To select science teaching materials for elementary school students, please suggest the most suitable content based on the user's learning profile." 【0094】 Thus, the present invention can provide a user-specific learning experience and improve the efficiency and enjoyment of home learning. 【0095】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0096】 Step 1: 【0097】 The terminal displays a registration screen to the user. The user enters attribute information such as name, age, grade level, and learning interests, and presses the submit button to complete registration. Once this information is sent to the terminal as input data, the terminal sends the data to the server via the HTTPS protocol. The server receives the data, creates a user profile using a MySQL database, and stores it there. 【0098】 Step 2: 【0099】 The server uses a generative AI model to select educational resources tailored to the user, based on user attribute information stored in the database. Input data includes the user's learning interests and progress, which the AI ​​model uses to calculate the optimal educational resources. The selected educational resources are then generated as output and sent to the terminal. 【0100】 Step 3: 【0101】 The terminal displays educational resources received from the server to the user. Here, the terminal's GUI library is utilized to visually present the educational resources in an optimal format. At this stage, the user begins learning using the educational resources. 【0102】 Step 4: 【0103】 While the user is learning educational resources, the device monitors their learning activity in real time and automatically records learning time and the progress of their answers to problems. This information becomes input data for the learning activity and is periodically sent from the device to the server. 【0104】 Step 5: 【0105】 The server receives learning activity data sent from the terminal and performs data analysis based on it. Specifically, it uses Python's Pandas and Scikit-learn to evaluate the user's learning progress and understanding. The results of this evaluation become the output data, and based on this, the server determines the next recommended educational resources and learning steps. 【0106】 Step 6: 【0107】 The server executes a process to award points and rewards to the user based on the analysis results. These evaluation results and the points and rewards to be awarded are calculated based on the specific evaluation, using them as input data. The points and rewards are sent to the terminal and displayed to the user as feedback. 【0108】 Step 7: 【0109】 The device notifies the user of scores and rewards received from the server using animations and audio. Friendly, dynamic display elements are used to effectively communicate learning progress and reward acquisition. This helps maintain the user's motivation to learn and promotes continuous learning. 【0110】 (Application Example 1) 【0111】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal." 【0112】 In the field of home learning support in modern education, there is a need for the provision of learning materials optimized for individual students and for effective tracking of their progress. However, current systems lack individualized support that fully considers students' interests and progress. Furthermore, there are insufficient measures to continuously maintain motivation for learning, and parents have limited means of understanding their children's learning progress. Therefore, the challenge lies in providing a more comprehensive and effective home learning support system. 【0113】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0114】 In this invention, the server includes a computer that receives user attribute information and selects appropriate learning materials based on the user's learning progress and learning interests; an information terminal device that provides the learning materials transmitted from the computer to the user and tracks the user's learning activities; a computer that analyzes the learning progress data transmitted from the information terminal device, evaluates the degree of achievement according to the learning situation, and awards rewards and titles to the user; and a mechanism that supports learning activities by engaging in voice communication with the user through an interactive function. This enables personalized provision of learning materials, effective progress tracking, maintenance of learning motivation, and learning reports for parents. 【0115】 "User attribute information" refers to data that describes the learning characteristics of individual users, including age, interests, and progress. 【0116】 "Appropriate learning materials" are educational resources that are most effective for learning content, selected based on the user's learning interests and progress. 【0117】 An "electronic computer" is a device that performs information processing and is a computer that has functions such as receiving, analyzing, and transmitting data. 【0118】 An "information terminal device" is a device that a user directly operates to receive information from a server, and is used for the purpose of supporting learning activities. 【0119】 "Learning progress data" refers to data that shows the user's progress in their learning activities, and includes information such as the number of questions answered and the correct answer rate. 【0120】 "Rewards and titles" are incentives given as a result of evaluating a user's learning achievement, and they are motivational tools to increase the desire to learn. 【0121】 "Interactive features" are functions that enable communication with the user, and are technologies that facilitate interaction through speech recognition and response generation. 【0122】 The implementation of this invention is carried out based on the configuration described below. The server receives user attribute information and, based on that information, selects appropriate learning materials according to the user's learning progress and interests. This process is carried out using a database for storing information and an algorithm. The selected learning materials are organized as learning content and transmitted to an information terminal device. 【0123】 The device provides users with selected learning materials and tracks their learning activities. It includes features to record user operation history and learning progress. Furthermore, it supports learning through real-time interactive features, communicating with users via voice. Specifically, it can provide voice guidance such as, "Today is science class. Would you like to learn about planets?" 【0124】 As users engage in learning activities, their devices periodically send data to a server. The server analyzes the received learning progress data and awards rewards and titles to users according to their learning status. This ensures that achievements are appropriately evaluated and helps maintain user motivation. 【0125】 Furthermore, the server manages the learning schedule and reminds users of study time by using user-friendly, anthropomorphic display elements. This measure makes it easier for users to establish study habits. 【0126】 Parents receive a learning progress report generated by the server via communication. This report allows parents to understand their child's learning status and use it as a reference for setting the next learning goals. 【0127】 This invention also envisions using a generative AI model to more deeply analyze the user's learning interests and provide prompts to the user. An example of a prompt generated by the generative AI model is, "Please tell me a strategy for suggesting appropriate learning materials, taking into account the user's interests related to 'science' in their profile." 【0128】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0129】 Step 1: 【0130】 The server receives user attribute information. It receives information such as the user's name, age, grade level, and learning interests entered on the registration screen as input, and stores this information in the database. This data is then processed to form the basis for subsequent learning material selection algorithms. 【0131】 Step 2: 【0132】 The server selects appropriate learning materials based on the user's learning progress and interests. User information and past learning history stored in the database are used as input. An algorithm analyzes this data to select the most suitable learning materials. The selected learning materials are then generated as output and sent to the terminal. 【0133】 Step 3: 【0134】 The terminal provides the user with educational materials transmitted from the server. The input here is selected educational material information, and the output is the educational material provided to the user as visual and auditory information. Specifically, the terminal's display and speaker are used to display the educational materials and provide audio guidance. 【0135】 Step 4: 【0136】 Users engage in learning activities through a device. Input is the provision of learning materials by the device, and output is the user's operation history and answer results. The device tracks and records this activity data. 【0137】 Step 5: 【0138】 The device sends user learning activity data to the server. The input is data based on the user's learning activities, and after being sent to the server, it is stored as learning progress data. 【0139】 Step 6: 【0140】 The server analyzes the received learning progress data and evaluates the level of achievement. The input is learning activity data, and the analysis evaluates the user's understanding and learning outcomes. The output is feedback regarding the level of achievement, which is communicated to the user via the terminal in the form of rewards or titles. 【0141】 Step 7: 【0142】 The server generates prompts using a generative AI model and incorporates them into the selection of learning materials. The input is the user's learning interests and instructions from the prompts, and the output is strategic information for suggesting more in-depth learning materials. For example, a prompt such as, "Please tell me a strategy for suggesting appropriate learning materials, taking into account the user's interests related to 'science' in their profile," is generated. 【0143】 Step 8: 【0144】 The server generates a learning progress report and sends it to the parent / guardian via communication. The input is the user's learning progress data and achievement evaluation results, and the output is provided in the form of a progress report. This report serves as information for parents to understand their child's learning situation. 【0145】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0146】 This invention is a system that supports elementary school students' home learning. In addition to providing optimal learning materials tailored to the user's learning progress and interests, it further enhances the learning experience by combining it with an emotional engine. The system operates mainly through a server, terminals, and users, each having the following functions. 【0147】 1. User registration and profile settings 【0148】 The terminal displays a registration screen to the user and provides a means for them to enter the necessary attribute information. Once the user enters the information and completes registration, the terminal sends that information to the server. The server creates a user profile and stores it in a database, preparing to provide services tailored to the user's individual needs. 【0149】 2. Selection and provision of teaching materials 【0150】 The server selects the most suitable learning materials based on the user's profile, taking into account their learning interests and current progress. The selected materials are sent to the device, which then presents them to the user. This allows individual users to learn in an enjoyable way, focusing on content that interests them. 【0151】 3. Tracking and Sentiment Analysis of Learning Activities 【0152】 The device tracks the user's learning activity in real time, records learning data, and analyzes the user's facial expressions and voice using an emotion engine. The emotion engine recognizes the user's emotional state and sends information to the server about how the user is responding to the learning process. 【0153】 4. Providing personalized learning experiences 【0154】 The server dynamically adjusts learning materials and presentation methods based on sentiment analysis results from the emotion engine. For example, if a user is feeling frustrated with learning, the server adjusts the difficulty level of the materials to provide more accessible content. 【0155】 5. Maintaining Motivation and Achievement Rewards 【0156】 The server adjusts the criteria for points and badges based on the user's emotional state when evaluating their learning progress. The device notifies the user of this information and flexibly manages the learning schedule using friendly characters to maintain motivation for learning. 【0157】 6. Timely reporting of learning progress to parents / guardians. 【0158】 The server generates a learning progress report and notifies parents via email or app notification. The report also includes the user's emotional state and how learning adjustments were made based on it, making it easier for parents to understand their child's learning situation and help them provide appropriate support. 【0159】 Specific example 【0160】 If the emotion engine detects that a user is becoming tired and losing focus during the learning process, the server immediately adjusts the difficulty level of the learning materials or sends a simple activity to the device to refresh the user. This allows the user to take a break and create an environment where they can refocus. Additionally, if a user solves a complex problem and shows positive emotions in the process, they are awarded extra points and a badge that reinforces their sense of accomplishment. 【0161】 As described above, the present invention provides a personalized learning experience that takes into account the user's emotional state, thereby further improving the efficiency and enjoyment of learning. 【0162】 The following describes the processing flow. 【0163】 Step 1: 【0164】 The device displays a registration screen to the user, who then enters attribute information including their name, age, grade level, and learning interests. When the user presses the "Register" button, the device sends the information to the server. 【0165】 Step 2: 【0166】 The server creates a user profile based on the user attribute information it receives and stores it in the database. This makes it possible to select learning materials based on the individual needs of each user. 【0167】 Step 3: 【0168】 The server analyzes the user profile and selects appropriate learning materials based on the user's interests and learning progress. The selected materials are carefully chosen to match the user's preferences. 【0169】 Step 4: 【0170】 The server sends selected learning materials to the terminal, and the terminal displays those materials to the user. The user can access the materials through the terminal and begin learning. 【0171】 Step 5: 【0172】 The device tracks the user's learning activity in real time, recording which learning materials were studied and to what extent. Simultaneously, the device's camera and microphone analyze the user's facial expressions and voice, and an emotion engine analyzes their emotional state. 【0173】 Step 6: 【0174】 The emotion engine sends the user's emotional state to the server. Based on this data, the server dynamically adjusts the difficulty level and presentation method of the learning materials in response to changes in the user's emotions. 【0175】 Step 7: 【0176】 The server evaluates the user's learning progress and emotional state, and generates points and badges based on that progress. It adjusts the point criteria based on the emotional state to provide the user with optimal motivation. 【0177】 Step 8: 【0178】 The app notifies users of points and badges earned by the device, and uses friendly characters to manage learning schedules and remind users of study time. 【0179】 Step 9: 【0180】 The server generates a learning progress report and sends a detailed report to parents via email or app notification, including the user's emotional state and any adjustments made. This allows parents to understand their child's learning progress and provide appropriate support. 【0181】 (Example 2) 【0182】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal." 【0183】 While conventional learning support systems can provide learning materials tailored to the user's learning progress and interests, they fail to adequately optimize the learning experience based on the user's emotional state. As a result, they are unable to properly alleviate the frustration and fatigue users experience during learning, leading to challenges such as decreased learning effectiveness and reduced motivation. 【0184】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0185】 In this invention, the server includes means for receiving user attribute information and selecting appropriate learning materials based on the user's learning progress and learning interests; means for analyzing learning progress data and emotional data transmitted from an information terminal device, evaluating the level of achievement according to the learning situation, and rewarding the user; and means for transmitting the generated learning progress report to the guardian via digital communication. This makes it possible to provide an optimal learning experience that takes into account not only the user's learning progress but also their emotional state. 【0186】 "User attribute information" refers to basic personal data about a user, and is used to analyze their learning progress and interests. 【0187】 "Learning progress" is an indicator that shows what a user is learning and their progress in that learning. 【0188】 "Learning interests" refer to the learning content or themes that users are particularly interested in. 【0189】 An "information processing device" is a combination of hardware and software that has a series of functions for inputting, processing, storing, and outputting data. 【0190】 An "information terminal device" is an electronic device that a user can operate to send and receive information, and is a device that assists learning activities. 【0191】 "Emotional analysis" is a technology that recognizes and analyzes a user's emotional state as digital data. 【0192】 A "learning progress report" is a document that comprehensively summarizes a user's learning status and is primarily intended to provide information to parents. 【0193】 "Digital communication" refers to all communication methods that send and receive information in digital format. 【0194】 "Rewards" refer to points, badges, and other incentives given to users for their learning efforts and achievements. 【0195】 This invention is a system designed to support elementary school students' home learning and provides a learning experience tailored to the individual needs of each user. At the heart of the system are an information processing device (server) and an information terminal device (terminal), which function through user interaction with these devices via an interface. 【0196】 First, the device provides a screen for the user to input attribute information. The user enters their name, age, grade, etc., into a form on the device, and after completion, the device sends this information to the server. The server generates a user profile based on this information and stores it in a database. Using the generated profile, the server uses a generative AI model to identify the user's learning progress and interests and select appropriate learning materials accordingly. This AI model selects the most suitable learning materials for the user from a wide range of learning material data. The selected materials are sent to the device, which then displays them to the user. 【0197】 Furthermore, the device tracks the user's learning activity in real time and sends that data to the server. The device also uses its camera and microphone to acquire emotional data from the user's facial expressions and voice, and analyzes this data using emotion analysis technology. The analyzed emotional data is sent to the server, where it is used to adapt the learning content. For example, if the user is experiencing stress while learning, the server dynamically adjusts the content and difficulty level of the learning materials to provide the user with an appropriate learning environment. 【0198】 The server also evaluates the user's learning results and emotional state, and provides rewards. This includes adding points and awarding achievement badges. Reward information is notified to the user through the device, and visual and interactive feedback is provided to maintain user motivation. This helps to reinforce acquired skills and promote successful experiences. 【0199】 Parents will be informed of their child's learning progress through reports generated on the server. These reports will include the user's learning progress and adjustments based on sentiment analysis, and will be sent to parents via digital communication to support their understanding of and support for their child's learning. 【0200】 For example, if facial recognition detects frustration while a user is working on a complex math problem, the server can instruct the system to lower the difficulty level of the problem, and instead, the device can present the user with simpler calculation problems, allowing the user to regain motivation and continue studying. 【0201】 An example of a prompt message would be: "How can we personalize the learning experience based on the user's emotional state to support elementary school students' home learning? Please provide details about the specific steps and technologies to use." 【0202】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0203】 Step 1: 【0204】 The terminal displays an attribute information input screen to the user. The user enters information such as name, age, and grade, and sends the data to the terminal. The input from the terminal is attribute information from the user, and this information is sent directly to the server. The server receives this input, converts it into a format that can be stored in the database, and generates a user profile. 【0205】 Step 2: 【0206】 The server analyzes the user's learning progress and interests based on the generated user profile. The input is user profile data, and a generative AI model is used to perform data analysis to select relevant learning materials. Based on this analysis, the optimal learning materials are selected, and the results are sent to the device. The device receives the learning material data from the server and displays it to the user. 【0207】 Step 3: 【0208】 The device tracks the user's learning activity in real time and collects learning data. Specifically, it records which learning materials were used and for how long. The input is the user's learning actions, and the output is learning data to be sent to the server. The device sends this data to the server, which analyzes the data to evaluate the user's learning progress. 【0209】 Step 4: 【0210】 The device uses its camera and microphone to detect the user's facial expressions and voice, and acquires emotional data. The input is the user's facial expressions and voice data, and the emotional state is analyzed by the emotion engine. The output is sent to the server as the emotional analysis result, and the server adjusts the learning experience based on this data. 【0211】 Step 5: 【0212】 The server adjusts the difficulty level and content of the learning materials based on the sentiment analysis results. The input consists of sentiment data and learning progress data, and adjustments are made to optimize the user's learning experience. The server generates new learning material information and sends it to the terminal. The terminal reflects this and redisplays the most appropriate materials for the user. 【0213】 Step 6: 【0214】 The server evaluates the user's learning results and determines rewards based on their achievement level. Input consists of learning progress data and sentiment data, and the server performs evaluation calculations to determine points or badges. The server sends reward information to the terminal, which then notifies the user of the reward details. 【0215】 Step 7: 【0216】 The server generates a learning progress report and sends it to the parent / guardian via digital communication. The input consists of user learning activity and sentiment analysis data, which is used to create a detailed report. The server sends the completed report to the parent / guardian, who then checks their child's learning status. 【0217】 (Application Example 2) 【0218】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal". 【0219】 In modern education, providing learning materials tailored to each child's learning pace and interests is becoming increasingly important. However, traditional systems have the problem of not considering individual emotional states and only providing a limited learning experience. As a result, learning motivation may decline, and effective learning may become difficult to achieve. In particular, in home learning support, there is a need for learning materials that are linked to the learner's real-time emotional responses, but there is a lack of effective means to achieve this. 【0220】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0221】 In this invention, the server includes an information processing device that receives user attribute information and selects appropriate learning materials based on the user's learning progress and learning interests; a device that provides the learning materials transmitted from the information processing device to the user, tracks the user's learning activities, and performs sentiment analysis; and an information processing device that analyzes learning progress data and sentiment data transmitted from the device, evaluates the degree of achievement according to the learning situation and sentiment state, and awards points or rewards to the user. This makes it possible to provide a dynamic, personalized, and optimal learning experience that responds to the learner's progress and sentiments. 【0222】 "Users" refer to children and their guardians who use information processing systems for learning. 【0223】 "Attribute information" refers to data that indicates a user's personal information, learning history, interests, and preferences. 【0224】 "Learning progress" is an indicator that shows the current learning progress of the user. 【0225】 "Learning interest" refers to the degree of interest or concern a user has in learning. 【0226】 "Educational materials" refer to educational content and workbooks presented to support the user's learning. 【0227】 An "information processing device" is an electronic device that receives and analyzes user attribute information and learning data, and selects and provides appropriate educational materials. 【0228】 "Learning activities" refer to a series of actions taken by a user, including the process of engaging with learning materials. 【0229】 "Emotional analysis" refers to the process of analyzing a user's emotional state from facial expressions and voice data. 【0230】 "Points and rewards" refer to evaluation metrics and incentives awarded based on the user's learning progress and achievements. 【0231】 "Learning status" refers to information that indicates the current state of the user's learning process. 【0232】 A "personalized learning experience" refers to an experience where the learning process is customized to suit each user's characteristics and needs. 【0233】 The system for realizing this application mainly consists of an information processing device, an emotion analysis device, and a user interface. 【0234】 The information processing device receives user attribute information and has the function of selecting the most suitable learning materials based on the user's learning progress and interests. In this process, a generative AI model built on the cloud via the network is used. This model takes the user profile into consideration and generates learning material content tailored to each individual. 【0235】 The emotion analysis device analyzes the user's emotional state in real time based on camera footage and microphone audio collected during the user's learning activities. This analysis utilizes an emotion recognition algorithm based on TENSORFLOW®. 【0236】 The user interface provides visual and auditory feedback to the user based on learning materials and sentiment analysis results transmitted from the information processing device. This feedback is delivered through friendly characters designed to personalize and motivate the user's learning experience. 【0237】 For example, when a user is learning arithmetic, if the system detects a facial expression indicating they are struggling with a problem, the emotion analyzer sends that data to the information processing unit, and the generative AI model creates new learning materials with adjusted difficulty levels. The user then receives an encouraging message such as, "That problem might have been a little difficult. Let's try an easier one next time!" 【0238】 An example of a prompt for a generative AI model is the following text: "Based on the user's current learning progress and facial expression analysis results, please generate math learning materials at an appropriate level." 【0239】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0240】 Step 1: 【0241】 The server receives user attribute information over the network. This received data includes the user's personal information, past learning history, and areas of interest. Based on this, the user's profile is updated. 【0242】 Step 2: 【0243】 The server references the updated user profile and uses prompts to generate optimal learning materials for the AI ​​model. The input prompt includes the phrase "Generate appropriate math materials based on the user's current learning progress and interests," and the output is the generated learning material data. 【0244】 Step 3: 【0245】 The terminal receives educational data sent from the server and presents it to the user. Specifically, it either displays the educational material on the screen or reads it aloud. The input to the terminal is the generated educational data, and the output is the presentation of information visually or aurally. 【0246】 Step 4: 【0247】 The device uses its built-in camera and microphone to record the user's facial expressions and voice during learning activities. This data is used directly within the device for sentiment analysis, and the emotional state is output as a numerical value or category. 【0248】 Step 5: 【0249】 The server analyzes emotional state data transmitted from the terminal and regenerates learning materials with adjusted difficulty levels as needed. Emotional state data is used as input, and the output is newly selected learning material data. 【0250】 Step 6: 【0251】 The terminal re-presents the user with the adjusted learning materials received from the server, and further displays encouraging messages through a friendly character to help the user maintain a positive learning attitude. At this time, the generated messages are also output. 【0252】 The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data. 【0253】 Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0254】 In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14. 【0255】 [Second Embodiment] 【0256】 Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment. 【0257】 As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server. 【0258】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0259】 The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52. 【0260】 The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46. 【0261】 Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision). 【0262】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner. 【0263】 Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56. 【0264】 The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30. 【0265】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0266】 In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0267】 Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal". 【0268】 This invention provides a home learning support system for elementary school students, enabling progress management and the provision of learning materials based on their interests. The system operates between a server, a terminal, and a user, each functioning as follows. 【0269】 1. User registration and profile settings 【0270】 The terminal provides users with a means to input attribute information such as name, age, grade level, and learning interests through a registration screen. Once the user enters and submits this information, the terminal sends it to the server. The server receives this information, creates a user profile, and stores it in a database. 【0271】 2. Selection and provision of teaching materials 【0272】 The server analyzes the user profile and selects the most suitable learning materials based on the user's learning interests and progress. This ensures that the user is provided with the most appropriate materials, enabling engaging and deeper learning. The server sends the selected materials to the device, which then presents them to the user. 【0273】 3. Tracking and analyzing learning activities 【0274】 The device monitors the user's learning activity in real time, recording the user's viewing status of learning materials and their response status to problems. The device periodically sends this data to the server. The server analyzes the received data and evaluates the user's learning progress and understanding. Based on the results, it suggests the next learning materials and activities to be provided. 【0275】 4. Providing a function to maintain motivation 【0276】 The server evaluates the user's learning progress and awards points according to their achievement level. It also awards badges to users who meet certain conditions and sends this information to their device. The device notifies the user of point and badge acquisitions through animations and audio to maintain motivation for learning. Furthermore, it uses friendly characters to manage learning schedules and provide reminders for study time. 【0277】 5. Reporting learning progress to parents / guardians 【0278】 The server generates a report on the learning progress and provides it to the guardians through email or app notifications. By checking this report, the guardians can understand the child's learning situation and set appropriate support and next learning goals. 【0279】 Specific example 【0280】 For example, if the user is a primary school student interested in science, the terminal preferentially provides teaching materials in the field of science. When the user studies the teaching material "Structure of Planets", the terminal records the progress and sends it to the server. The server evaluates the user's understanding level from the data and proposes a more advanced teaching material "Formation of the Solar System" next time. When the user obtains a high score during the learning activity, the terminal awards a badge such as "Master of Elementary Astronomy" to create a sense of achievement. 【0281】 As described above, the present invention provides a learning experience specialized for users and improves the efficiency and enjoyment of home learning. 【0282】 The processing flow will be described below. 【0283】 Step 1: 【0284】 The terminal displays a user registration screen to the user. The user inputs attribute information such as name, age, grade, and learning interests, and presses the "Register" button. 【0285】 Step 2: 【0286】 The terminal sends the attribute information input by the user to the server. The server creates a user profile based on the received information and saves it in the database. 【0287】 Step 3: 【0288】 The server analyzes the user profile and selects appropriate teaching materials based on the user's learning interests and existing learning progress. The selected teaching materials are sent to the terminal. 【0289】 Step 4: 【0290】 The device displays learning materials received from the server to the user, allowing the user to proceed with their learning. 【0291】 Step 5: 【0292】 The device tracks the user's learning activity in real time, recording which learning materials were studied, to what extent, and the accuracy rate of questions answered correctly. The recorded data is periodically sent to the server. 【0293】 Step 6: 【0294】 The server analyzes the received learning data to evaluate the user's learning progress and understanding. Based on these results, it determines the next learning materials and activities to be provided. 【0295】 Step 7: 【0296】 The server evaluates the user's learning progress and generates points or badges for them. The generated points and badge information is then sent to the device. 【0297】 Step 8: 【0298】 The device notifies the user of points and badges earned through animation and audio, increasing their motivation to learn. 【0299】 Step 9: 【0300】 The server generates a report summarizing the user's learning progress and sends it to the parent / guardian via email or app notification. Parents / guardians can review the progress report and share information with the user, such as setting the next learning goals. 【0301】 (Example 1) 【0302】 Next, Example 1 will be described. In the following description, the data processing device 12 is referred to as a "server", and the smart glasses 214 are referred to as a "terminal". 【0303】 In education, it is important to provide teaching materials according to the progress and interests of individual learners. However, in conventional educational support systems, it has been difficult to do this efficiently. In addition, there is a need for means to quickly grasp the learning progress and provide feedback based on it, and to appropriately convey the learning situation to the guardians. Furthermore, the interactive elements and the mechanism for giving a sense of accomplishment to maintain the motivation of the learners are also insufficient. 【0304】 The specific processing by the specific processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0305】 In this invention, the server includes means for receiving the user's attribute information, selecting appropriate educational resources based on the user's learning progress and learning interests, means for proposing the next learning step based on the user's interests using a generated AI model, and means for analyzing the learning progress information transmitted from the display device, evaluating the degree of achievement according to the learning situation, and giving scores and rewards to the user. Thereby, individualized learning support for learners becomes possible, the efficiency and enjoyment of learning are improved, and a quick and accurate report of the learning situation to the guardians becomes possible. 【0306】 The "user's attribute information" is basic information about the learner, and is data including name, age, grade, and learning interests. 【0307】 The "learning progress" is an indicator showing how far the learner has progressed towards a specific educational goal. 【0308】 The "educational resources" refer to teaching materials and learning contents used by the learner, and include texts, videos, interactive contents, etc. 【0309】 An "information processing device" is a device such as a computer or server that processes data and makes decisions based on instructions. 【0310】 A "display device" is a terminal that provides visual information to a user, and includes monitors and displays. 【0311】 A "generative AI model" is a learning algorithm model that uses artificial intelligence technology to perform a specific task. 【0312】 A "score" is a numerical representation used to evaluate learning activities. 【0313】 "Rewards" refer to incentives such as badges and points given to increase learners' motivation. 【0314】 This invention is a home learning support system for elementary school students, and includes functions for providing educational resources based on the user's learning interests and progress, tracking and analyzing learning activities, maintaining motivation, and reporting learning progress to parents. Specific embodiments of each component of the system are described below. 【0315】 The server interacts with a database server to receive user attribute information and build a user profile. This process uses MySQL as the database system and employs the HTTPS protocol for secure data transfer. The server further uses a generative AI model to select educational resources tailored to the user's interests and learning progress. This AI model is a machine learning algorithm built using Python, which suggests the next steps based on past learning data. 【0316】 The devices utilize tablets or computers equipped with multi-function displays as a means of displaying educational resources to users. While users are learning from these educational resources, the devices track their learning activities in real time and send the collected data to a server. GUI libraries are used to improve the usability of the devices and provide an intuitive learning experience. 【0317】 The server uses data analysis tools to analyze the received training data and evaluate the user's progress and understanding. The analysis utilizes Python libraries such as Pandas and Scikit-learn to calculate learning trends and achievements. Based on the results, the server assigns scores and rewards to the user and sends this information to the terminal. 【0318】 Users progress through their learning using the displayed educational resources, and their motivation is enhanced by animations and audio feedback displayed on the device screen as a motivational feature. Furthermore, user-friendly dynamic display elements manage the learning schedule and provide learning reminders, enabling users to create efficient learning plans. 【0319】 For example, if a user is interested in science, the device will prioritize displaying science-related educational resources. The server will evaluate the user's learning progress and suggest the next educational resource, such as "The Formation of the Solar System," for a user who is learning about "The Structure of Planets." Furthermore, if a user achieves a high score, a reward such as "Master of Basic Astronomy" will be displayed on the device screen to create a sense of accomplishment. 【0320】 An example of a prompt is, "To select science teaching materials for elementary school students, please suggest the most suitable content based on the user's learning profile." 【0321】 Thus, the present invention can provide a user-specific learning experience and improve the efficiency and enjoyment of home learning. 【0322】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0323】 Step 1: 【0324】 The terminal displays a registration screen to the user. The user enters attribute information such as name, age, grade level, and learning interests, and presses the submit button to complete registration. Once this information is sent to the terminal as input data, the terminal sends the data to the server via the HTTPS protocol. The server receives the data, creates a user profile using a MySQL database, and stores it there. 【0325】 Step 2: 【0326】 The server uses a generative AI model to select educational resources tailored to the user, based on user attribute information stored in the database. Input data includes the user's learning interests and progress, which the AI ​​model uses to calculate the optimal educational resources. The selected educational resources are then generated as output and sent to the terminal. 【0327】 Step 3: 【0328】 The terminal displays educational resources received from the server to the user. Here, the terminal's GUI library is utilized to visually present the educational resources in an optimal format. At this stage, the user begins learning using the educational resources. 【0329】 Step 4: 【0330】 While the user is learning educational resources, the device monitors their learning activity in real time and automatically records learning time and the progress of their answers to problems. This information becomes input data for the learning activity and is periodically sent from the device to the server. 【0331】 Step 5: 【0332】 The server receives learning activity data sent from the terminal and performs data analysis based on it. Specifically, it uses Python's Pandas and Scikit-learn to evaluate the user's learning progress and understanding. The results of this evaluation become the output data, and based on this, the server determines the next recommended educational resources and learning steps. 【0333】 Step 6: 【0334】 The server executes a process to award points and rewards to the user based on the analysis results. These evaluation results and the points and rewards to be awarded are calculated based on the specific evaluation, using them as input data. The points and rewards are sent to the terminal and displayed to the user as feedback. 【0335】 Step 7: 【0336】 The device notifies the user of scores and rewards received from the server using animations and audio. Friendly, dynamic display elements are used to effectively communicate learning progress and reward acquisition. This helps maintain the user's motivation to learn and promotes continuous learning. 【0337】 (Application Example 1) 【0338】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal." 【0339】 In the field of home learning support in modern education, there is a need for the provision of learning materials optimized for individual students and for effective tracking of their progress. However, current systems lack individualized support that fully considers students' interests and progress. Furthermore, there are insufficient measures to continuously maintain motivation for learning, and parents have limited means of understanding their children's learning progress. Therefore, the challenge lies in providing a more comprehensive and effective home learning support system. 【0340】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0341】 In this invention, the server includes a computer that receives user attribute information and selects appropriate learning materials based on the user's learning progress and learning interests; an information terminal device that provides the learning materials transmitted from the computer to the user and tracks the user's learning activities; a computer that analyzes the learning progress data transmitted from the information terminal device, evaluates the degree of achievement according to the learning situation, and awards rewards and titles to the user; and a mechanism that supports learning activities by engaging in voice communication with the user through an interactive function. This enables personalized provision of learning materials, effective progress tracking, maintenance of learning motivation, and learning reports for parents. 【0342】 "User attribute information" refers to data that describes the learning characteristics of individual users, including age, interests, and progress. 【0343】 "Appropriate learning materials" are educational resources that are most effective for learning content, selected based on the user's learning interests and progress. 【0344】 An "electronic computer" is a device that performs information processing and is a computer that has functions such as receiving, analyzing, and transmitting data. 【0345】 An "information terminal device" is a device that a user directly operates to receive information from a server, and is used for the purpose of supporting learning activities. 【0346】 "Learning progress data" refers to data that shows the user's progress in their learning activities, and includes information such as the number of questions answered and the correct answer rate. 【0347】 "Rewards and titles" are incentives given as a result of evaluating a user's learning achievement, and they are motivational tools to increase the desire to learn. 【0348】 "Interactive features" are functions that enable communication with the user, and are technologies that facilitate interaction through speech recognition and response generation. 【0349】 The implementation of this invention is carried out based on the configuration described below. The server receives user attribute information and, based on that information, selects appropriate learning materials according to the user's learning progress and interests. This process is carried out using a database for storing information and an algorithm. The selected learning materials are organized as learning content and transmitted to an information terminal device. 【0350】 The device provides users with selected learning materials and tracks their learning activities. It includes features to record user operation history and learning progress. Furthermore, it supports learning through real-time interactive features, communicating with users via voice. Specifically, it can provide voice guidance such as, "Today is science class. Would you like to learn about planets?" 【0351】 As users engage in learning activities, their devices periodically send data to a server. The server analyzes the received learning progress data and awards rewards and titles to users according to their learning status. This ensures that achievements are appropriately evaluated and helps maintain user motivation. 【0352】 Furthermore, the server manages the learning schedule and reminds users of study time by using user-friendly, anthropomorphic display elements. This measure makes it easier for users to establish study habits. 【0353】 Parents receive a learning progress report generated by the server via communication. This report allows parents to understand their child's learning status and use it as a reference for setting the next learning goals. 【0354】 This invention also envisions using a generative AI model to more deeply analyze the user's learning interests and provide prompts to the user. An example of a prompt generated by the generative AI model is, "Please tell me a strategy for suggesting appropriate learning materials, taking into account the user's interests related to 'science' in their profile." 【0355】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0356】 Step 1: 【0357】 The server receives user attribute information. It receives information such as the user's name, age, grade level, and learning interests entered on the registration screen as input, and stores this information in the database. This data is then processed to form the basis for subsequent learning material selection algorithms. 【0358】 Step 2: 【0359】 The server selects appropriate learning materials based on the user's learning progress and interests. User information and past learning history stored in the database are used as input. An algorithm analyzes this data to select the most suitable learning materials. The selected learning materials are then generated as output and sent to the terminal. 【0360】 Step 3: 【0361】 The terminal provides the user with educational materials transmitted from the server. The input here is selected educational material information, and the output is the educational material provided to the user as visual and auditory information. Specifically, the terminal's display and speaker are used to display the educational materials and provide audio guidance. 【0362】 Step 4: 【0363】 Users engage in learning activities through a device. Input is the provision of learning materials by the device, and output is the user's operation history and answer results. The device tracks and records this activity data. 【0364】 Step 5: 【0365】 The device sends user learning activity data to the server. The input is data based on the user's learning activities, and after being sent to the server, it is stored as learning progress data. 【0366】 Step 6: 【0367】 The server analyzes the received learning progress data and evaluates the level of achievement. The input is learning activity data, and the analysis evaluates the user's understanding and learning outcomes. The output is feedback regarding the level of achievement, which is communicated to the user via the terminal in the form of rewards or titles. 【0368】 Step 7: 【0369】 The server generates prompts using a generative AI model and incorporates them into the selection of learning materials. The input is the user's learning interests and instructions from the prompts, and the output is strategic information for suggesting more in-depth learning materials. For example, a prompt such as, "Please tell me a strategy for suggesting appropriate learning materials, taking into account the user's interests related to 'science' in their profile," is generated. 【0370】 Step 8: 【0371】 The server generates a learning progress report and sends it to the parent / guardian via communication. The input is the user's learning progress data and achievement evaluation results, and the output is provided in the form of a progress report. This report serves as information for parents to understand their child's learning situation. 【0372】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0373】 This invention is a system that supports elementary school students' home learning. In addition to providing optimal learning materials tailored to the user's learning progress and interests, it further enhances the learning experience by combining it with an emotional engine. The system operates mainly through a server, terminals, and users, each having the following functions. 【0374】 1. User registration and profile settings 【0375】 The terminal displays a registration screen to the user and provides a means for them to enter the necessary attribute information. Once the user enters the information and completes registration, the terminal sends that information to the server. The server creates a user profile and stores it in a database, preparing to provide services tailored to the user's individual needs. 【0376】 2. Selection and provision of teaching materials 【0377】 The server selects the most suitable learning materials based on the user's profile, taking into account their learning interests and current progress. The selected materials are sent to the device, which then presents them to the user. This allows individual users to learn in an enjoyable way, focusing on content that interests them. 【0378】 3. Tracking and Sentiment Analysis of Learning Activities 【0379】 The device tracks the user's learning activity in real time, records learning data, and analyzes the user's facial expressions and voice using an emotion engine. The emotion engine recognizes the user's emotional state and sends information to the server about how the user is responding to the learning process. 【0380】 4. Providing personalized learning experiences 【0381】 The server dynamically adjusts learning materials and presentation methods based on sentiment analysis results from the emotion engine. For example, if a user is feeling frustrated with learning, the server adjusts the difficulty level of the materials to provide more accessible content. 【0382】 5. Maintaining Motivation and Achievement Rewards 【0383】 The server adjusts the criteria for points and badges based on the user's emotional state when evaluating their learning progress. The device notifies the user of this information and flexibly manages the learning schedule using friendly characters to maintain motivation for learning. 【0384】 6. Timely reporting of learning progress to parents / guardians. 【0385】 The server generates a learning progress report and notifies parents via email or app notification. The report also includes the user's emotional state and how learning adjustments were made based on it, making it easier for parents to understand their child's learning situation and help them provide appropriate support. 【0386】 Specific example 【0387】 If the emotion engine detects that a user is becoming tired and losing focus during the learning process, the server immediately adjusts the difficulty level of the learning materials or sends a simple activity to the device to refresh the user. This allows the user to take a break and create an environment where they can refocus. Additionally, if a user solves a complex problem and shows positive emotions in the process, they are awarded extra points and a badge that reinforces their sense of accomplishment. 【0388】 As described above, the present invention provides a personalized learning experience that takes into account the user's emotional state, thereby further improving the efficiency and enjoyment of learning. 【0389】 The following describes the processing flow. 【0390】 Step 1: 【0391】 The device displays a registration screen to the user, who then enters attribute information including their name, age, grade level, and learning interests. When the user presses the "Register" button, the device sends the information to the server. 【0392】 Step 2: 【0393】 The server creates a user profile based on the user attribute information it receives and stores it in the database. This makes it possible to select learning materials based on the individual needs of each user. 【0394】 Step 3: 【0395】 The server analyzes the user profile and selects appropriate learning materials based on the user's interests and learning progress. The selected materials are carefully chosen to match the user's preferences. 【0396】 Step 4: 【0397】 The server sends selected learning materials to the terminal, and the terminal displays those materials to the user. The user can access the materials through the terminal and begin learning. 【0398】 Step 5: 【0399】 The device tracks the user's learning activity in real time, recording which learning materials were studied and to what extent. Simultaneously, the device's camera and microphone analyze the user's facial expressions and voice, and an emotion engine analyzes their emotional state. 【0400】 Step 6: 【0401】 The emotion engine sends the user's emotional state to the server. Based on this data, the server dynamically adjusts the difficulty level and presentation method of the learning materials in response to changes in the user's emotions. 【0402】 Step 7: 【0403】 The server evaluates the user's learning progress and emotional state, and generates points and badges based on that progress. It adjusts the point criteria based on the emotional state to provide the user with optimal motivation. 【0404】 Step 8: 【0405】 The app notifies users of points and badges earned by the device, and uses friendly characters to manage learning schedules and remind users of study time. 【0406】 Step 9: 【0407】 The server generates a learning progress report and sends a detailed report to parents via email or app notification, including the user's emotional state and any adjustments made. This allows parents to understand their child's learning progress and provide appropriate support. 【0408】 (Example 2) 【0409】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal". 【0410】 While conventional learning support systems can provide learning materials tailored to the user's learning progress and interests, they fail to adequately optimize the learning experience based on the user's emotional state. As a result, they are unable to properly alleviate the frustration and fatigue users experience during learning, leading to challenges such as decreased learning effectiveness and reduced motivation. 【0411】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0412】 In this invention, the server includes means for receiving user attribute information and selecting appropriate learning materials based on the user's learning progress and learning interests; means for analyzing learning progress data and emotional data transmitted from an information terminal device, evaluating the level of achievement according to the learning situation, and rewarding the user; and means for transmitting the generated learning progress report to the guardian via digital communication. This makes it possible to provide an optimal learning experience that takes into account not only the user's learning progress but also their emotional state. 【0413】 "User attribute information" refers to basic personal data about a user, and is used to analyze their learning progress and interests. 【0414】 "Learning progress" is an indicator that shows what a user is learning and their progress in that learning. 【0415】 "Learning interests" refer to the learning content or themes that users are particularly interested in. 【0416】 An "information processing device" is a combination of hardware and software that has a series of functions for inputting, processing, storing, and outputting data. 【0417】 An "information terminal device" is an electronic device that a user can operate to send and receive information, and is a device that assists learning activities. 【0418】 "Emotional analysis" is a technology that recognizes and analyzes a user's emotional state as digital data. 【0419】 A "learning progress report" is a document that comprehensively summarizes a user's learning status and is primarily intended to provide information to parents. 【0420】 "Digital communication" refers to all communication methods that send and receive information in digital format. 【0421】 "Rewards" refer to points, badges, and other incentives given to users for their learning efforts and achievements. 【0422】 This invention is a system designed to support elementary school students' home learning and provides a learning experience tailored to the individual needs of each user. At the heart of the system are an information processing device (server) and an information terminal device (terminal), which function through user interaction with these devices via an interface. 【0423】 First, the device provides a screen for the user to input attribute information. The user enters their name, age, grade, etc., into a form on the device, and after completion, the device sends this information to the server. The server generates a user profile based on this information and stores it in a database. Using the generated profile, the server uses a generative AI model to identify the user's learning progress and interests and select appropriate learning materials accordingly. This AI model selects the most suitable learning materials for the user from a wide range of learning material data. The selected materials are sent to the device, which then displays them to the user. 【0424】 Furthermore, the device tracks the user's learning activity in real time and sends that data to the server. The device also uses its camera and microphone to acquire emotional data from the user's facial expressions and voice, and analyzes this data using emotion analysis technology. The analyzed emotional data is sent to the server, where it is used to adapt the learning content. For example, if the user is experiencing stress while learning, the server dynamically adjusts the content and difficulty level of the learning materials to provide the user with an appropriate learning environment. 【0425】 The server also evaluates the user's learning results and emotional state, and provides rewards. This includes adding points and awarding achievement badges. Reward information is notified to the user through the device, and visual and interactive feedback is provided to maintain user motivation. This helps to reinforce acquired skills and promote successful experiences. 【0426】 Parents will be informed of their child's learning progress through reports generated on the server. These reports will include the user's learning progress and adjustments based on sentiment analysis, and will be sent to parents via digital communication to support their understanding of and support for their child's learning. 【0427】 For example, if facial recognition detects frustration while a user is working on a complex math problem, the server can instruct the system to lower the difficulty level of the problem, and instead, the device can present the user with simpler calculation problems, allowing the user to regain motivation and continue studying. 【0428】 An example of a prompt message would be: "How can we personalize the learning experience based on the user's emotional state to support elementary school students' home learning? Please provide details about the specific steps and technologies to use." 【0429】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0430】 Step 1: 【0431】 The terminal displays an attribute information input screen to the user. The user enters information such as name, age, and grade, and sends the data to the terminal. The input from the terminal is attribute information from the user, and this information is sent directly to the server. The server receives this input, converts it into a format that can be stored in the database, and generates a user profile. 【0432】 Step 2: 【0433】 The server analyzes the user's learning progress and interests based on the generated user profile. The input is user profile data, and a generative AI model is used to perform data analysis to select relevant learning materials. Based on this analysis, the optimal learning materials are selected, and the results are sent to the device. The device receives the learning material data from the server and displays it to the user. 【0434】 Step 3: 【0435】 The device tracks the user's learning activity in real time and collects learning data. Specifically, it records which learning materials were used and for how long. The input is the user's learning actions, and the output is learning data to be sent to the server. The device sends this data to the server, which analyzes the data to evaluate the user's learning progress. 【0436】 Step 4: 【0437】 The device uses its camera and microphone to detect the user's facial expressions and voice, and acquires emotional data. The input is the user's facial expressions and voice data, and the emotional state is analyzed by the emotion engine. The output is sent to the server as the emotional analysis result, and the server adjusts the learning experience based on this data. 【0438】 Step 5: 【0439】 The server adjusts the difficulty level and content of the learning materials based on the sentiment analysis results. The input consists of sentiment data and learning progress data, and adjustments are made to optimize the user's learning experience. The server generates new learning material information and sends it to the terminal. The terminal reflects this and redisplays the most appropriate materials for the user. 【0440】 Step 6: 【0441】 The server evaluates the user's learning results and determines rewards based on their achievement level. Input consists of learning progress data and sentiment data, and the server performs evaluation calculations to determine points or badges. The server sends reward information to the terminal, which then notifies the user of the reward details. 【0442】 Step 7: 【0443】 The server generates a learning progress report and sends it to the parent / guardian via digital communication. The input consists of user learning activity and sentiment analysis data, which is used to create a detailed report. The server sends the completed report to the parent / guardian, who then checks their child's learning status. 【0444】 (Application Example 2) 【0445】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal." 【0446】 In modern education, providing learning materials tailored to each child's learning pace and interests is becoming increasingly important. However, traditional systems have the problem of not considering individual emotional states and only providing a limited learning experience. As a result, learning motivation may decline, and effective learning may become difficult to achieve. In particular, in home learning support, there is a need for learning materials that are linked to the learner's real-time emotional responses, but there is a lack of effective means to achieve this. 【0447】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0448】 In this invention, the server includes an information processing device that receives user attribute information and selects appropriate learning materials based on the user's learning progress and learning interests; a device that provides the learning materials transmitted from the information processing device to the user, tracks the user's learning activities, and performs sentiment analysis; and an information processing device that analyzes learning progress data and sentiment data transmitted from the device, evaluates the degree of achievement according to the learning situation and sentiment state, and awards points or rewards to the user. This makes it possible to provide a dynamic, personalized, and optimal learning experience that responds to the learner's progress and sentiments. 【0449】 "Users" refer to children and their guardians who use information processing systems for learning. 【0450】 "Attribute information" refers to data that indicates a user's personal information, learning history, interests, and preferences. 【0451】 "Learning progress" is an indicator that shows the current learning progress of the user. 【0452】 "Learning interest" refers to the degree of interest or concern a user has in learning. 【0453】 "Educational materials" refer to educational content and workbooks presented to support the user's learning. 【0454】 An "information processing device" is an electronic device that receives and analyzes user attribute information and learning data, and selects and provides appropriate educational materials. 【0455】 "Learning activities" refer to a series of actions taken by a user, including the process of engaging with learning materials. 【0456】 "Emotional analysis" refers to the process of analyzing a user's emotional state from facial expressions and voice data. 【0457】 "Points and rewards" refer to evaluation metrics and incentives awarded based on the user's learning progress and achievements. 【0458】 "Learning status" refers to information that indicates the current state of the user's learning process. 【0459】 A "personalized learning experience" refers to an experience where the learning process is customized to suit each user's characteristics and needs. 【0460】 The system for realizing this application mainly consists of an information processing device, an emotion analysis device, and a user interface. 【0461】 The information processing device receives user attribute information and has the function of selecting the most suitable learning materials based on the user's learning progress and interests. In this process, a generative AI model built on the cloud via the network is used. This model takes the user profile into consideration and generates learning material content tailored to each individual. 【0462】 The emotion analysis device analyzes the user's emotional state in real time based on camera footage and microphone audio collected during the user's learning activities. This analysis utilizes an emotion recognition algorithm powered by TensorFlow. 【0463】 The user interface provides visual and auditory feedback to the user based on learning materials and sentiment analysis results transmitted from the information processing device. This feedback is delivered through friendly characters designed to personalize and motivate the user's learning experience. 【0464】 For example, when a user is learning arithmetic, if the system detects a facial expression indicating they are struggling with a problem, the emotion analyzer sends that data to the information processing unit, and the generative AI model creates new learning materials with adjusted difficulty levels. The user then receives an encouraging message such as, "That problem might have been a little difficult. Let's try an easier one next time!" 【0465】 An example of a prompt for a generative AI model is the following text: "Based on the user's current learning progress and facial expression analysis results, please generate math learning materials at an appropriate level." 【0466】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0467】 Step 1: 【0468】 The server receives user attribute information over the network. This received data includes the user's personal information, past learning history, and areas of interest. Based on this, the user's profile is updated. 【0469】 Step 2: 【0470】 The server references the updated user profile and uses prompts to generate optimal learning materials for the AI ​​model. The input prompt includes the phrase "Generate appropriate math materials based on the user's current learning progress and interests," and the output is the generated learning material data. 【0471】 Step 3: 【0472】 The terminal receives educational data sent from the server and presents it to the user. Specifically, it either displays the educational material on the screen or reads it aloud. The input to the terminal is the generated educational data, and the output is the presentation of information visually or aurally. 【0473】 Step 4: 【0474】 The device uses its built-in camera and microphone to record the user's facial expressions and voice during learning activities. This data is used directly within the device for sentiment analysis, and the emotional state is output as a numerical value or category. 【0475】 Step 5: 【0476】 The server analyzes emotional state data transmitted from the terminal and regenerates learning materials with adjusted difficulty levels as needed. Emotional state data is used as input, and the output is newly selected learning material data. 【0477】 Step 6: 【0478】 The terminal re-presents the user with the adjusted learning materials received from the server, and further displays encouraging messages through a friendly character to help the user maintain a positive learning attitude. At this time, the generated messages are also output. 【0479】 The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data. 【0480】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0481】 In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214. 【0482】 [Third Embodiment] 【0483】 Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment. 【0484】 As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server. 【0485】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0486】 The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52. 【0487】 The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46. 【0488】 Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision). 【0489】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner. 【0490】 Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56. 【0491】 The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30. 【0492】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0493】 In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0494】 Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal". 【0495】 This invention provides a home learning support system for elementary school students, enabling progress management and the provision of learning materials based on their interests. The system operates between a server, a terminal, and a user, each functioning as follows. 【0496】 1. User registration and profile settings 【0497】 The terminal provides users with a means to input attribute information such as name, age, grade level, and learning interests through a registration screen. Once the user enters and submits this information, the terminal sends it to the server. The server receives this information, creates a user profile, and stores it in a database. 【0498】 2. Selection and provision of teaching materials 【0499】 The server analyzes the user profile and selects the most suitable learning materials based on the user's learning interests and progress. This ensures that the user is provided with the most appropriate materials, enabling engaging and deeper learning. The server sends the selected materials to the device, which then presents them to the user. 【0500】 3. Tracking and analyzing learning activities 【0501】 The device monitors the user's learning activity in real time, recording the user's viewing status of learning materials and their response status to problems. The device periodically sends this data to the server. The server analyzes the received data and evaluates the user's learning progress and understanding. Based on the results, it suggests the next learning materials and activities to be provided. 【0502】 4. Providing a function to maintain motivation 【0503】 The server evaluates the user's learning progress and awards points according to their achievement level. It also awards badges to users who meet certain conditions and sends this information to their device. The device notifies the user of point and badge acquisitions through animations and audio to maintain motivation for learning. Furthermore, it uses friendly characters to manage learning schedules and provide reminders for study time. 【0504】 5. Reporting learning progress to parents / guardians 【0505】 The server generates a learning progress report and provides it to parents via email or app notification. By reviewing this report, parents can understand their child's learning situation and set appropriate support and next learning goals. 【0506】 Specific example 【0507】 For example, if the user is an elementary school student interested in science, the device will prioritize providing science-related learning materials. When the user studies the "structure of planets" material, the device records their progress and sends it to the server. The server evaluates the user's understanding from the data and suggests more advanced materials, such as "the formation of the solar system," for the next session. As the user progresses through the learning activities and achieves high scores, the device will award them a badge such as "Astronomy Beginner Master" to create a sense of accomplishment. 【0508】 As described above, the present invention provides a user-specific learning experience and improves the efficiency and enjoyment of home learning. 【0509】 The following describes the processing flow. 【0510】 Step 1: 【0511】 The device displays a user registration screen to the user. The user enters attribute information such as name, age, grade level, and learning interests, and then presses the "Register" button. 【0512】 Step 2: 【0513】 The terminal sends attribute information entered by the user to the server. The server creates a user profile based on the received information and saves it in the database. 【0514】 Step 3: 【0515】 The server analyzes the user profile and selects appropriate learning materials based on the user's learning interests and existing learning progress. The selected materials are then sent to the user's device. 【0516】 Step 4: 【0517】 The device displays learning materials received from the server to the user, allowing the user to proceed with their learning. 【0518】 Step 5: 【0519】 The device tracks the user's learning activity in real time, recording which learning materials were studied, to what extent, and the accuracy rate of questions answered correctly. The recorded data is periodically sent to the server. 【0520】 Step 6: 【0521】 The server analyzes the received learning data to evaluate the user's learning progress and understanding. Based on these results, it determines the next learning materials and activities to be provided. 【0522】 Step 7: 【0523】 The server evaluates the user's learning progress and generates points or badges for them. The generated points and badge information is then sent to the device. 【0524】 Step 8: 【0525】 The device notifies the user of points and badges earned through animation and audio, increasing their motivation to learn. 【0526】 Step 9: 【0527】 The server generates a report summarizing the user's learning progress and sends it to the parent / guardian via email or app notification. Parents / guardians can review the progress report and share information with the user, such as setting the next learning goals. 【0528】 (Example 1) 【0529】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal." 【0530】 In education, providing learning materials tailored to each learner's progress and interests is crucial, but traditional educational support systems have struggled to achieve this efficiently. Furthermore, there is a need for a rapid means of monitoring learning progress, providing feedback based on that progress, and appropriately communicating learning status to parents. Additionally, interactive elements to maintain learner motivation and mechanisms to foster a sense of accomplishment are insufficient. 【0531】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0532】 In this invention, the server includes means for receiving user attribute information and selecting appropriate educational resources based on the user's learning progress and learning interests; means for proposing the next learning step based on the user's interests using a generative AI model; and means for analyzing learning progress information transmitted from the display device, evaluating the degree of achievement according to the learning situation, and awarding scores or rewards to the user. This enables personalized learning support for learners, improves the efficiency and enjoyment of learning, and allows for quick and accurate reporting of learning status to parents. 【0533】 "User attribute information" refers to basic information about the learner, including data such as name, age, grade level, and learning interests. 【0534】 "Learning progress" is an indicator that shows how well learners are progressing toward a specific educational goal. 【0535】 "Educational resources" refer to learning materials and content used by learners, and include texts, videos, and interactive content. 【0536】 An "information processing device" is a device such as a computer or server that processes data and makes decisions based on instructions. 【0537】 A "display device" is a terminal that provides visual information to a user, and includes monitors and displays. 【0538】 A "generative AI model" is a learning algorithm model that uses artificial intelligence technology to perform a specific task. 【0539】 A "score" is a numerical representation used to evaluate learning activities. 【0540】 "Rewards" refer to incentives such as badges and points given to increase learners' motivation. 【0541】 This invention is a home learning support system for elementary school students, and includes functions for providing educational resources based on the user's learning interests and progress, tracking and analyzing learning activities, maintaining motivation, and reporting learning progress to parents. Specific embodiments of each component of the system are described below. 【0542】 The server interacts with a database server to receive user attribute information and build a user profile. This process uses MySQL as the database system and employs the HTTPS protocol for secure data transfer. The server further uses a generative AI model to select educational resources tailored to the user's interests and learning progress. This AI model is a machine learning algorithm built using Python, which suggests the next steps based on past learning data. 【0543】 The devices utilize tablets or computers equipped with multi-function displays as a means of displaying educational resources to users. While users are learning from these educational resources, the devices track their learning activities in real time and send the collected data to a server. GUI libraries are used to improve the usability of the devices and provide an intuitive learning experience. 【0544】 The server uses data analysis tools to analyze the received training data and evaluate the user's progress and understanding. The analysis utilizes Python libraries such as Pandas and Scikit-learn to calculate learning trends and achievements. Based on the results, the server assigns scores and rewards to the user and sends this information to the terminal. 【0545】 Users progress through their learning using the displayed educational resources, and their motivation is enhanced by animations and audio feedback displayed on the device screen as a motivational feature. Furthermore, user-friendly dynamic display elements manage the learning schedule and provide learning reminders, enabling users to create efficient learning plans. 【0546】 For example, if a user is interested in science, the device will prioritize displaying science-related educational resources. The server will evaluate the user's learning progress and suggest the next educational resource, such as "The Formation of the Solar System," for a user who is learning about "The Structure of Planets." Furthermore, if a user achieves a high score, a reward such as "Master of Basic Astronomy" will be displayed on the device screen to create a sense of accomplishment. 【0547】 An example of a prompt is, "To select science teaching materials for elementary school students, please suggest the most suitable content based on the user's learning profile." 【0548】 Thus, the present invention can provide a user-specific learning experience and improve the efficiency and enjoyment of home learning. 【0549】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0550】 Step 1: 【0551】 The terminal displays a registration screen to the user. The user enters attribute information such as name, age, grade level, and learning interests, and presses the submit button to complete registration. Once this information is sent to the terminal as input data, the terminal sends the data to the server via the HTTPS protocol. The server receives the data, creates a user profile using a MySQL database, and stores it there. 【0552】 Step 2: 【0553】 The server uses a generative AI model to select educational resources tailored to the user, based on user attribute information stored in the database. Input data includes the user's learning interests and progress, which the AI ​​model uses to calculate the optimal educational resources. The selected educational resources are then generated as output and sent to the terminal. 【0554】 Step 3: 【0555】 The terminal displays educational resources received from the server to the user. Here, the terminal's GUI library is utilized to visually present the educational resources in an optimal format. At this stage, the user begins learning using the educational resources. 【0556】 Step 4: 【0557】 While the user is learning educational resources, the device monitors their learning activity in real time and automatically records learning time and the progress of their answers to problems. This information becomes input data for the learning activity and is periodically sent from the device to the server. 【0558】 Step 5: 【0559】 The server receives learning activity data sent from the terminal and performs data analysis based on it. Specifically, it uses Python's Pandas and Scikit-learn to evaluate the user's learning progress and understanding. The results of this evaluation become the output data, and based on this, the server determines the next recommended educational resources and learning steps. 【0560】 Step 6: 【0561】 The server executes a process to award points and rewards to the user based on the analysis results. These evaluation results and the points and rewards to be awarded are calculated based on the specific evaluation, using them as input data. The points and rewards are sent to the terminal and displayed to the user as feedback. 【0562】 Step 7: 【0563】 The device notifies the user of scores and rewards received from the server using animations and audio. Friendly, dynamic display elements are used to effectively communicate learning progress and reward acquisition. This helps maintain the user's motivation to learn and promotes continuous learning. 【0564】 (Application Example 1) 【0565】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal." 【0566】 In the field of home learning support in modern education, there is a need for the provision of learning materials optimized for individual students and for effective tracking of their progress. However, current systems lack individualized support that fully considers students' interests and progress. Furthermore, there are insufficient measures to continuously maintain motivation for learning, and parents have limited means of understanding their children's learning progress. Therefore, the challenge lies in providing a more comprehensive and effective home learning support system. 【0567】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0568】 In this invention, the server includes a computer that receives user attribute information and selects appropriate learning materials based on the user's learning progress and learning interests; an information terminal device that provides the learning materials transmitted from the computer to the user and tracks the user's learning activities; a computer that analyzes the learning progress data transmitted from the information terminal device, evaluates the degree of achievement according to the learning situation, and awards rewards and titles to the user; and a mechanism that supports learning activities by engaging in voice communication with the user through an interactive function. This enables personalized provision of learning materials, effective progress tracking, maintenance of learning motivation, and learning reports for parents. 【0569】 "User attribute information" refers to data that describes the learning characteristics of individual users, including age, interests, and progress. 【0570】 "Appropriate learning materials" are educational resources that are most effective for learning content, selected based on the user's learning interests and progress. 【0571】 An "electronic computer" is a device that performs information processing and is a computer that has functions such as receiving, analyzing, and transmitting data. 【0572】 An "information terminal device" is a device that a user directly operates to receive information from a server, and is used for the purpose of supporting learning activities. 【0573】 "Learning progress data" refers to data that shows the user's progress in their learning activities, and includes information such as the number of questions answered and the correct answer rate. 【0574】 "Rewards and titles" are incentives given as a result of evaluating a user's learning achievement, and they are motivational tools to increase the desire to learn. 【0575】 "Interactive features" are functions that enable communication with the user, and are technologies that facilitate interaction through speech recognition and response generation. 【0576】 The implementation of this invention is carried out based on the configuration described below. The server receives user attribute information and, based on that information, selects appropriate learning materials according to the user's learning progress and interests. This process is carried out using a database for storing information and an algorithm. The selected learning materials are organized as learning content and transmitted to an information terminal device. 【0577】 The device provides users with selected learning materials and tracks their learning activities. It includes features to record user operation history and learning progress. Furthermore, it supports learning through real-time interactive features, communicating with users via voice. Specifically, it can provide voice guidance such as, "Today is science class. Would you like to learn about planets?" 【0578】 As users engage in learning activities, their devices periodically send data to a server. The server analyzes the received learning progress data and awards rewards and titles to users according to their learning status. This ensures that achievements are appropriately evaluated and helps maintain user motivation. 【0579】 Furthermore, the server manages the learning schedule and reminds users of study time by using user-friendly, anthropomorphic display elements. This measure makes it easier for users to establish study habits. 【0580】 Parents receive a learning progress report generated by the server via communication. This report allows parents to understand their child's learning status and use it as a reference for setting the next learning goals. 【0581】 This invention also envisions using a generative AI model to more deeply analyze the user's learning interests and provide prompts to the user. An example of a prompt generated by the generative AI model is, "Please tell me a strategy for suggesting appropriate learning materials, taking into account the user's interests related to 'science' in their profile." 【0582】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0583】 Step 1: 【0584】 The server receives user attribute information. It receives information such as the user's name, age, grade level, and learning interests entered on the registration screen as input, and stores this information in the database. This data is then processed to form the basis for subsequent learning material selection algorithms. 【0585】 Step 2: 【0586】 The server selects appropriate learning materials based on the user's learning progress and interests. User information and past learning history stored in the database are used as input. An algorithm analyzes this data to select the most suitable learning materials. The selected learning materials are then generated as output and sent to the terminal. 【0587】 Step 3: 【0588】 The terminal provides the user with educational materials transmitted from the server. The input here is selected educational material information, and the output is the educational material provided to the user as visual and auditory information. Specifically, the terminal's display and speaker are used to display the educational materials and provide audio guidance. 【0589】 Step 4: 【0590】 Users engage in learning activities through a device. Input is the provision of learning materials by the device, and output is the user's operation history and answer results. The device tracks and records this activity data. 【0591】 Step 5: 【0592】 The device sends user learning activity data to the server. The input is data based on the user's learning activities, and after being sent to the server, it is stored as learning progress data. 【0593】 Step 6: 【0594】 The server analyzes the received learning progress data and evaluates the level of achievement. The input is learning activity data, and the analysis evaluates the user's understanding and learning outcomes. The output is feedback regarding the level of achievement, which is communicated to the user via the terminal in the form of rewards or titles. 【0595】 Step 7: 【0596】 The server generates prompts using a generative AI model and incorporates them into the selection of learning materials. The input is the user's learning interests and instructions from the prompts, and the output is strategic information for suggesting more in-depth learning materials. For example, a prompt such as, "Please tell me a strategy for suggesting appropriate learning materials, taking into account the user's interests related to 'science' in their profile," is generated. 【0597】 Step 8: 【0598】 The server generates a learning progress report and sends it to the parent / guardian via communication. The input is the user's learning progress data and achievement evaluation results, and the output is provided in the form of a progress report. This report serves as information for parents to understand their child's learning situation. 【0599】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0600】 This invention is a system that supports elementary school students' home learning. In addition to providing optimal learning materials tailored to the user's learning progress and interests, it further enhances the learning experience by combining it with an emotional engine. The system operates mainly through a server, terminals, and users, each having the following functions. 【0601】 1. User registration and profile settings 【0602】 The terminal displays a registration screen to the user and provides a means for them to enter the necessary attribute information. Once the user enters the information and completes registration, the terminal sends that information to the server. The server creates a user profile and stores it in a database, preparing to provide services tailored to the user's individual needs. 【0603】 2. Selection and provision of teaching materials 【0604】 The server selects the most suitable learning materials based on the user's profile, taking into account their learning interests and current progress. The selected materials are sent to the device, which then presents them to the user. This allows individual users to learn in an enjoyable way, focusing on content that interests them. 【0605】 3. Tracking and Sentiment Analysis of Learning Activities 【0606】 The device tracks the user's learning activity in real time, records learning data, and analyzes the user's facial expressions and voice using an emotion engine. The emotion engine recognizes the user's emotional state and sends information to the server about how the user is responding to the learning process. 【0607】 4. Providing personalized learning experiences 【0608】 The server dynamically adjusts learning materials and presentation methods based on sentiment analysis results from the emotion engine. For example, if a user is feeling frustrated with learning, the server adjusts the difficulty level of the materials to provide more accessible content. 【0609】 5. Maintaining Motivation and Achievement Rewards 【0610】 The server adjusts the criteria for points and badges based on the user's emotional state when evaluating their learning progress. The device notifies the user of this information and flexibly manages the learning schedule using friendly characters to maintain motivation for learning. 【0611】 6. Timely reporting of learning progress to parents / guardians. 【0612】 The server generates a learning progress report and notifies parents via email or app notification. The report also includes the user's emotional state and how learning adjustments were made based on it, making it easier for parents to understand their child's learning situation and help them provide appropriate support. 【0613】 Specific example 【0614】 If the emotion engine detects that a user is becoming tired and losing focus during the learning process, the server immediately adjusts the difficulty level of the learning materials or sends a simple activity to the device to refresh the user. This allows the user to take a break and create an environment where they can refocus. Additionally, if a user solves a complex problem and shows positive emotions in the process, they are awarded extra points and a badge that reinforces their sense of accomplishment. 【0615】 As described above, the present invention provides a personalized learning experience that takes into account the user's emotional state, thereby further improving the efficiency and enjoyment of learning. 【0616】 The following describes the processing flow. 【0617】 Step 1: 【0618】 The device displays a registration screen to the user, who then enters attribute information including their name, age, grade level, and learning interests. When the user presses the "Register" button, the device sends the information to the server. 【0619】 Step 2: 【0620】 The server creates a user profile based on the user attribute information it receives and stores it in the database. This makes it possible to select learning materials based on the individual needs of each user. 【0621】 Step 3: 【0622】 The server analyzes the user profile and selects appropriate learning materials based on the user's interests and learning progress. The selected materials are carefully chosen to match the user's preferences. 【0623】 Step 4: 【0624】 The server sends selected learning materials to the terminal, and the terminal displays those materials to the user. The user can access the materials through the terminal and begin learning. 【0625】 Step 5: 【0626】 The device tracks the user's learning activity in real time, recording which learning materials were studied and to what extent. Simultaneously, the device's camera and microphone analyze the user's facial expressions and voice, and an emotion engine analyzes their emotional state. 【0627】 Step 6: 【0628】 The emotion engine sends the user's emotional state to the server. Based on this data, the server dynamically adjusts the difficulty level and presentation method of the learning materials in response to changes in the user's emotions. 【0629】 Step 7: 【0630】 The server evaluates the user's learning progress and emotional state, and generates points and badges based on that progress. It adjusts the point criteria based on the emotional state to provide the user with optimal motivation. 【0631】 Step 8: 【0632】 The app notifies users of points and badges earned by the device, and uses friendly characters to manage learning schedules and remind users of study time. 【0633】 Step 9: 【0634】 The server generates a learning progress report and sends a detailed report to parents via email or app notification, including the user's emotional state and any adjustments made. This allows parents to understand their child's learning progress and provide appropriate support. 【0635】 (Example 2) 【0636】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal." 【0637】 While conventional learning support systems can provide learning materials tailored to the user's learning progress and interests, they fail to adequately optimize the learning experience based on the user's emotional state. As a result, they are unable to properly alleviate the frustration and fatigue users experience during learning, leading to challenges such as decreased learning effectiveness and reduced motivation. 【0638】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0639】 In this invention, the server includes means for receiving user attribute information and selecting appropriate learning materials based on the user's learning progress and learning interests; means for analyzing learning progress data and emotional data transmitted from an information terminal device, evaluating the level of achievement according to the learning situation, and rewarding the user; and means for transmitting the generated learning progress report to the guardian via digital communication. This makes it possible to provide an optimal learning experience that takes into account not only the user's learning progress but also their emotional state. 【0640】 "User attribute information" refers to basic personal data about a user, and is used to analyze their learning progress and interests. 【0641】 "Learning progress" is an indicator that shows what a user is learning and their progress in that learning. 【0642】 "Learning interests" refer to the learning content or themes that users are particularly interested in. 【0643】 An "information processing device" is a combination of hardware and software that has a series of functions for inputting, processing, storing, and outputting data. 【0644】 An "information terminal device" is an electronic device that a user can operate to send and receive information, and is a device that assists learning activities. 【0645】 "Emotional analysis" is a technology that recognizes and analyzes a user's emotional state as digital data. 【0646】 A "learning progress report" is a document that comprehensively summarizes a user's learning status and is primarily intended to provide information to parents. 【0647】 "Digital communication" refers to all communication methods that send and receive information in digital format. 【0648】 "Rewards" refer to points, badges, and other incentives given to users for their learning efforts and achievements. 【0649】 This invention is a system designed to support elementary school students' home learning and provides a learning experience tailored to the individual needs of each user. At the heart of the system are an information processing device (server) and an information terminal device (terminal), which function through user interaction with these devices via an interface. 【0650】 First, the device provides a screen for the user to input attribute information. The user enters their name, age, grade, etc., into a form on the device, and after completion, the device sends this information to the server. The server generates a user profile based on this information and stores it in a database. Using the generated profile, the server uses a generative AI model to identify the user's learning progress and interests and select appropriate learning materials accordingly. This AI model selects the most suitable learning materials for the user from a wide range of learning material data. The selected materials are sent to the device, which then displays them to the user. 【0651】 Furthermore, the device tracks the user's learning activity in real time and sends that data to the server. The device also uses its camera and microphone to acquire emotional data from the user's facial expressions and voice, and analyzes this data using emotion analysis technology. The analyzed emotional data is sent to the server, where it is used to adapt the learning content. For example, if the user is experiencing stress while learning, the server dynamically adjusts the content and difficulty level of the learning materials to provide the user with an appropriate learning environment. 【0652】 The server also evaluates the user's learning results and emotional state, and provides rewards. This includes adding points and awarding achievement badges. Reward information is notified to the user through the device, and visual and interactive feedback is provided to maintain user motivation. This helps to reinforce acquired skills and promote successful experiences. 【0653】 Parents will be informed of their child's learning progress through reports generated on the server. These reports will include the user's learning progress and adjustments based on sentiment analysis, and will be sent to parents via digital communication to support their understanding of and support for their child's learning. 【0654】 For example, if facial recognition detects frustration while a user is working on a complex math problem, the server can instruct the system to lower the difficulty level of the problem, and instead, the device can present the user with simpler calculation problems, allowing the user to regain motivation and continue studying. 【0655】 An example of a prompt message would be: "How can we personalize the learning experience based on the user's emotional state to support elementary school students' home learning? Please provide details about the specific steps and technologies to use." 【0656】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0657】 Step 1: 【0658】 The terminal displays an attribute information input screen to the user. The user enters information such as name, age, and grade, and sends the data to the terminal. The input from the terminal is attribute information from the user, and this information is sent directly to the server. The server receives this input, converts it into a format that can be stored in the database, and generates a user profile. 【0659】 Step 2: 【0660】 The server analyzes the user's learning progress and interests based on the generated user profile. The input is user profile data, and a generative AI model is used to perform data analysis to select relevant learning materials. Based on this analysis, the optimal learning materials are selected, and the results are sent to the device. The device receives the learning material data from the server and displays it to the user. 【0661】 Step 3: 【0662】 The device tracks the user's learning activity in real time and collects learning data. Specifically, it records which learning materials were used and for how long. The input is the user's learning actions, and the output is learning data to be sent to the server. The device sends this data to the server, which analyzes the data to evaluate the user's learning progress. 【0663】 Step 4: 【0664】 The device uses its camera and microphone to detect the user's facial expressions and voice, and acquires emotional data. The input is the user's facial expressions and voice data, and the emotional state is analyzed by the emotion engine. The output is sent to the server as the emotional analysis result, and the server adjusts the learning experience based on this data. 【0665】 Step 5: 【0666】 The server adjusts the difficulty level and content of the learning materials based on the sentiment analysis results. The input consists of sentiment data and learning progress data, and adjustments are made to optimize the user's learning experience. The server generates new learning material information and sends it to the terminal. The terminal reflects this and redisplays the most appropriate materials for the user. 【0667】 Step 6: 【0668】 The server evaluates the user's learning results and determines rewards based on their achievement level. Input consists of learning progress data and sentiment data, and the server performs evaluation calculations to determine points or badges. The server sends reward information to the terminal, which then notifies the user of the reward details. 【0669】 Step 7: 【0670】 The server generates a learning progress report and sends it to the parent / guardian via digital communication. The input consists of user learning activity and sentiment analysis data, which is used to create a detailed report. The server sends the completed report to the parent / guardian, who then checks their child's learning status. 【0671】 (Application Example 2) 【0672】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal." 【0673】 In modern education, providing learning materials tailored to each child's learning pace and interests is becoming increasingly important. However, traditional systems have the problem of not considering individual emotional states and only providing a limited learning experience. As a result, learning motivation may decline, and effective learning may become difficult to achieve. In particular, in home learning support, there is a need for learning materials that are linked to the learner's real-time emotional responses, but there is a lack of effective means to achieve this. 【0674】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0675】 In this invention, the server includes an information processing device that receives user attribute information and selects appropriate learning materials based on the user's learning progress and learning interests; a device that provides the learning materials transmitted from the information processing device to the user, tracks the user's learning activities, and performs sentiment analysis; and an information processing device that analyzes learning progress data and sentiment data transmitted from the device, evaluates the degree of achievement according to the learning situation and sentiment state, and awards points or rewards to the user. This makes it possible to provide a dynamic, personalized, and optimal learning experience that responds to the learner's progress and sentiments. 【0676】 "Users" refer to children and their guardians who use information processing systems for learning. 【0677】 "Attribute information" refers to data that indicates a user's personal information, learning history, interests, and preferences. 【0678】 "Learning progress" is an indicator that shows the current learning progress of the user. 【0679】 "Learning interest" refers to the degree of interest or concern a user has in learning. 【0680】 "Educational materials" refer to educational content and workbooks presented to support the user's learning. 【0681】 An "information processing device" is an electronic device that receives and analyzes user attribute information and learning data, and selects and provides appropriate educational materials. 【0682】 "Learning activities" refer to a series of actions taken by a user, including the process of engaging with learning materials. 【0683】 "Emotional analysis" refers to the process of analyzing a user's emotional state from facial expressions and voice data. 【0684】 "Points and rewards" refer to evaluation metrics and incentives awarded based on the user's learning progress and achievements. 【0685】 "Learning status" refers to information that indicates the current state of the user's learning process. 【0686】 A "personalized learning experience" refers to an experience where the learning process is customized to suit each user's characteristics and needs. 【0687】 The system for realizing this application mainly consists of an information processing device, an emotion analysis device, and a user interface. 【0688】 The information processing device receives user attribute information and has the function of selecting the most suitable learning materials based on the user's learning progress and interests. In this process, a generative AI model built on the cloud via the network is used. This model takes the user profile into consideration and generates learning material content tailored to each individual. 【0689】 The emotion analysis device analyzes the user's emotional state in real time based on camera footage and microphone audio collected during the user's learning activities. This analysis utilizes an emotion recognition algorithm powered by TensorFlow. 【0690】 The user interface provides visual and auditory feedback to the user based on learning materials and sentiment analysis results transmitted from the information processing device. This feedback is delivered through friendly characters designed to personalize and motivate the user's learning experience. 【0691】 For example, when a user is learning arithmetic, if the system detects a facial expression indicating they are struggling with a problem, the emotion analyzer sends that data to the information processing unit, and the generative AI model creates new learning materials with adjusted difficulty levels. The user then receives an encouraging message such as, "That problem might have been a little difficult. Let's try an easier one next time!" 【0692】 An example of a prompt for a generative AI model is the following text: "Based on the user's current learning progress and facial expression analysis results, please generate math learning materials at an appropriate level." 【0693】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0694】 Step 1: 【0695】 The server receives user attribute information over the network. This received data includes the user's personal information, past learning history, and areas of interest. Based on this, the user's profile is updated. 【0696】 Step 2: 【0697】 The server references the updated user profile and uses prompts to generate optimal learning materials for the AI ​​model. The input prompt includes the phrase "Generate appropriate math materials based on the user's current learning progress and interests," and the output is the generated learning material data. 【0698】 Step 3: 【0699】 The terminal receives educational data sent from the server and presents it to the user. Specifically, it either displays the educational material on the screen or reads it aloud. The input to the terminal is the generated educational data, and the output is the presentation of information visually or aurally. 【0700】 Step 4: 【0701】 The device uses its built-in camera and microphone to record the user's facial expressions and voice during learning activities. This data is used directly within the device for sentiment analysis, and the emotional state is output as a numerical value or category. 【0702】 Step 5: 【0703】 The server analyzes emotional state data transmitted from the terminal and regenerates learning materials with adjusted difficulty levels as needed. Emotional state data is used as input, and the output is newly selected learning material data. 【0704】 Step 6: 【0705】 The terminal re-presents the user with the adjusted learning materials received from the server, and further displays encouraging messages through a friendly character to help the user maintain a positive learning attitude. At this time, the generated messages are also output. 【0706】 The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data. 【0707】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0708】 In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314. 【0709】 [Fourth Embodiment] 【0710】 Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment. 【0711】 As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server. 【0712】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0713】 The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52. 【0714】 The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46. 【0715】 Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision). 【0716】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner. 【0717】 The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes. 【0718】 Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56. 【0719】 The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30. 【0720】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0721】 In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0722】 Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0723】 This invention provides a home learning support system for elementary school students, enabling progress management and the provision of learning materials based on their interests. The system operates between a server, a terminal, and a user, each functioning as follows. 【0724】 1. User registration and profile settings 【0725】 The terminal provides users with a means to input attribute information such as name, age, grade level, and learning interests through a registration screen. Once the user enters and submits this information, the terminal sends it to the server. The server receives this information, creates a user profile, and stores it in a database. 【0726】 2. Selection and provision of teaching materials 【0727】 The server analyzes the user profile and selects the most suitable learning materials based on the user's learning interests and progress. This ensures that the user is provided with the most appropriate materials, enabling engaging and deeper learning. The server sends the selected materials to the device, which then presents them to the user. 【0728】 3. Tracking and analyzing learning activities 【0729】 The device monitors the user's learning activity in real time, recording the user's viewing status of learning materials and their response status to problems. The device periodically sends this data to the server. The server analyzes the received data and evaluates the user's learning progress and understanding. Based on the results, it suggests the next learning materials and activities to be provided. 【0730】 4. Providing a function to maintain motivation 【0731】 The server evaluates the user's learning progress and awards points according to their achievement level. It also awards badges to users who meet certain conditions and sends this information to their device. The device notifies the user of point and badge acquisitions through animations and audio to maintain motivation for learning. Furthermore, it uses friendly characters to manage learning schedules and provide reminders for study time. 【0732】 5. Reporting learning progress to parents / guardians 【0733】 The server generates a learning progress report and provides it to parents via email or app notification. By reviewing this report, parents can understand their child's learning situation and set appropriate support and next learning goals. 【0734】 Specific example 【0735】 For example, if the user is an elementary school student interested in science, the device will prioritize providing science-related learning materials. When the user studies the "structure of planets" material, the device records their progress and sends it to the server. The server evaluates the user's understanding from the data and suggests more advanced materials, such as "the formation of the solar system," for the next session. As the user progresses through the learning activities and achieves high scores, the device will award them a badge such as "Astronomy Beginner Master" to create a sense of accomplishment. 【0736】 As described above, the present invention provides a user-specific learning experience and improves the efficiency and enjoyment of home learning. 【0737】 The following describes the processing flow. 【0738】 Step 1: 【0739】 The device displays a user registration screen to the user. The user enters attribute information such as name, age, grade level, and learning interests, and then presses the "Register" button. 【0740】 Step 2: 【0741】 The terminal sends attribute information entered by the user to the server. The server creates a user profile based on the received information and saves it in the database. 【0742】 Step 3: 【0743】 The server analyzes the user profile and selects appropriate learning materials based on the user's learning interests and existing learning progress. The selected materials are then sent to the user's device. 【0744】 Step 4: 【0745】 The device displays learning materials received from the server to the user, allowing the user to proceed with their learning. 【0746】 Step 5: 【0747】 The device tracks the user's learning activity in real time, recording which learning materials were studied, to what extent, and the accuracy rate of questions answered correctly. The recorded data is periodically sent to the server. 【0748】 Step 6: 【0749】 The server analyzes the received learning data to evaluate the user's learning progress and understanding. Based on these results, it determines the next learning materials and activities to be provided. 【0750】 Step 7: 【0751】 The server evaluates the user's learning progress and generates points or badges for them. The generated points and badge information is then sent to the device. 【0752】 Step 8: 【0753】 The device notifies the user of points and badges earned through animation and audio, increasing their motivation to learn. 【0754】 Step 9: 【0755】 The server generates a report summarizing the user's learning progress and sends it to the parent / guardian via email or app notification. Parents / guardians can review the progress report and share information with the user, such as setting the next learning goals. 【0756】 (Example 1) 【0757】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0758】 In education, providing learning materials tailored to each learner's progress and interests is crucial, but traditional educational support systems have struggled to achieve this efficiently. Furthermore, there is a need for a rapid means of monitoring learning progress, providing feedback based on that progress, and appropriately communicating learning status to parents. Additionally, interactive elements to maintain learner motivation and mechanisms to foster a sense of accomplishment are insufficient. 【0759】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0760】 In this invention, the server includes means for receiving user attribute information and selecting appropriate educational resources based on the user's learning progress and learning interests; means for proposing the next learning step based on the user's interests using a generative AI model; and means for analyzing learning progress information transmitted from the display device, evaluating the degree of achievement according to the learning situation, and awarding scores or rewards to the user. This enables personalized learning support for learners, improves the efficiency and enjoyment of learning, and allows for quick and accurate reporting of learning status to parents. 【0761】 "User attribute information" refers to basic information about the learner, including data such as name, age, grade level, and learning interests. 【0762】 "Learning progress" is an indicator that shows how well learners are progressing toward a specific educational goal. 【0763】 "Educational resources" refer to learning materials and content used by learners, and include texts, videos, and interactive content. 【0764】 An "information processing device" is a device such as a computer or server that processes data and makes decisions based on instructions. 【0765】 A "display device" is a terminal that provides visual information to a user, and includes monitors and displays. 【0766】 A "generative AI model" is a learning algorithm model that uses artificial intelligence technology to perform a specific task. 【0767】 A "score" is a numerical representation used to evaluate learning activities. 【0768】 "Rewards" refer to incentives such as badges and points given to increase learners' motivation. 【0769】 This invention is a home learning support system for elementary school students, and includes functions for providing educational resources based on the user's learning interests and progress, tracking and analyzing learning activities, maintaining motivation, and reporting learning progress to parents. Specific embodiments of each component of the system are described below. 【0770】 The server interacts with a database server to receive user attribute information and build a user profile. This process uses MySQL as the database system and employs the HTTPS protocol for secure data transfer. The server further uses a generative AI model to select educational resources tailored to the user's interests and learning progress. This AI model is a machine learning algorithm built using Python, which suggests the next steps based on past learning data. 【0771】 The devices utilize tablets or computers equipped with multi-function displays as a means of displaying educational resources to users. While users are learning from these educational resources, the devices track their learning activities in real time and send the collected data to a server. GUI libraries are used to improve the usability of the devices and provide an intuitive learning experience. 【0772】 The server uses data analysis tools to analyze the received training data and evaluate the user's progress and understanding. The analysis utilizes Python libraries such as Pandas and Scikit-learn to calculate learning trends and achievements. Based on the results, the server assigns scores and rewards to the user and sends this information to the terminal. 【0773】 Users progress through their learning using the displayed educational resources, and their motivation is enhanced by animations and audio feedback displayed on the device screen as a motivational feature. Furthermore, user-friendly dynamic display elements manage the learning schedule and provide learning reminders, enabling users to create efficient learning plans. 【0774】 For example, if a user is interested in science, the device will prioritize displaying science-related educational resources. The server will evaluate the user's learning progress and suggest the next educational resource, such as "The Formation of the Solar System," for a user who is learning about "The Structure of Planets." Furthermore, if a user achieves a high score, a reward such as "Master of Basic Astronomy" will be displayed on the device screen to create a sense of accomplishment. 【0775】 An example of a prompt is, "To select science teaching materials for elementary school students, please suggest the most suitable content based on the user's learning profile." 【0776】 Thus, the present invention can provide a user-specific learning experience and improve the efficiency and enjoyment of home learning. 【0777】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0778】 Step 1: 【0779】 The terminal displays a registration screen to the user. The user enters attribute information such as name, age, grade level, and learning interests, and presses the submit button to complete registration. Once this information is sent to the terminal as input data, the terminal sends the data to the server via the HTTPS protocol. The server receives the data, creates a user profile using a MySQL database, and stores it there. 【0780】 Step 2: 【0781】 The server uses a generative AI model to select educational resources tailored to the user, based on user attribute information stored in the database. Input data includes the user's learning interests and progress, which the AI ​​model uses to calculate the optimal educational resources. The selected educational resources are then generated as output and sent to the terminal. 【0782】 Step 3: 【0783】 The terminal displays educational resources received from the server to the user. Here, the terminal's GUI library is utilized to visually present the educational resources in an optimal format. At this stage, the user begins learning using the educational resources. 【0784】 Step 4: 【0785】 While the user is learning educational resources, the device monitors their learning activity in real time and automatically records learning time and the progress of their answers to problems. This information becomes input data for the learning activity and is periodically sent from the device to the server. 【0786】 Step 5: 【0787】 The server receives learning activity data sent from the terminal and performs data analysis based on it. Specifically, it uses Python's Pandas and Scikit-learn to evaluate the user's learning progress and understanding. The results of this evaluation become the output data, and based on this, the server determines the next recommended educational resources and learning steps. 【0788】 Step 6: 【0789】 The server executes a process to award points and rewards to the user based on the analysis results. These evaluation results and the points and rewards to be awarded are calculated based on the specific evaluation, using them as input data. The points and rewards are sent to the terminal and displayed to the user as feedback. 【0790】 Step 7: 【0791】 The device notifies the user of scores and rewards received from the server using animations and audio. Friendly, dynamic display elements are used to effectively communicate learning progress and reward acquisition. This helps maintain the user's motivation to learn and promotes continuous learning. 【0792】 (Application Example 1) 【0793】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0794】 In the field of home learning support in modern education, there is a need for the provision of learning materials optimized for individual students and for effective tracking of their progress. However, current systems lack individualized support that fully considers students' interests and progress. Furthermore, there are insufficient measures to continuously maintain motivation for learning, and parents have limited means of understanding their children's learning progress. Therefore, the challenge lies in providing a more comprehensive and effective home learning support system. 【0795】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0796】 In this invention, the server includes a computer that receives user attribute information and selects appropriate learning materials based on the user's learning progress and learning interests; an information terminal device that provides the learning materials transmitted from the computer to the user and tracks the user's learning activities; a computer that analyzes the learning progress data transmitted from the information terminal device, evaluates the degree of achievement according to the learning situation, and awards rewards and titles to the user; and a mechanism that supports learning activities by engaging in voice communication with the user through an interactive function. This enables personalized provision of learning materials, effective progress tracking, maintenance of learning motivation, and learning reports for parents. 【0797】 "User attribute information" refers to data that describes the learning characteristics of individual users, including age, interests, and progress. 【0798】 "Appropriate learning materials" are educational resources that are most effective for learning content, selected based on the user's learning interests and progress. 【0799】 An "electronic computer" is a device that performs information processing and is a computer that has functions such as receiving, analyzing, and transmitting data. 【0800】 An "information terminal device" is a device that a user directly operates to receive information from a server, and is used for the purpose of supporting learning activities. 【0801】 "Learning progress data" refers to data that shows the user's progress in their learning activities, and includes information such as the number of questions answered and the correct answer rate. 【0802】 "Rewards and titles" are incentives given as a result of evaluating a user's learning achievement, and they are motivational tools to increase the desire to learn. 【0803】 "Interactive features" are functions that enable communication with the user, and are technologies that facilitate interaction through speech recognition and response generation. 【0804】 The implementation of this invention is carried out based on the configuration described below. The server receives user attribute information and, based on that information, selects appropriate learning materials according to the user's learning progress and interests. This process is carried out using a database for storing information and an algorithm. The selected learning materials are organized as learning content and transmitted to an information terminal device. 【0805】 The device provides users with selected learning materials and tracks their learning activities. It includes features to record user operation history and learning progress. Furthermore, it supports learning through real-time interactive features, communicating with users via voice. Specifically, it can provide voice guidance such as, "Today is science class. Would you like to learn about planets?" 【0806】 As users engage in learning activities, their devices periodically send data to a server. The server analyzes the received learning progress data and awards rewards and titles to users according to their learning status. This ensures that achievements are appropriately evaluated and helps maintain user motivation. 【0807】 Furthermore, the server manages the learning schedule and reminds users of study time by using user-friendly, anthropomorphic display elements. This measure makes it easier for users to establish study habits. 【0808】 Parents receive a learning progress report generated by the server via communication. This report allows parents to understand their child's learning status and use it as a reference for setting the next learning goals. 【0809】 This invention also envisions using a generative AI model to more deeply analyze the user's learning interests and provide prompts to the user. An example of a prompt generated by the generative AI model is, "Please tell me a strategy for suggesting appropriate learning materials, taking into account the user's interests related to 'science' in their profile." 【0810】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0811】 Step 1: 【0812】 The server receives user attribute information. It receives information such as the user's name, age, grade level, and learning interests entered on the registration screen as input, and stores this information in the database. This data is then processed to form the basis for subsequent learning material selection algorithms. 【0813】 Step 2: 【0814】 The server selects appropriate learning materials based on the user's learning progress and interests. User information and past learning history stored in the database are used as input. An algorithm analyzes this data to select the most suitable learning materials. The selected learning materials are then generated as output and sent to the terminal. 【0815】 Step 3: 【0816】 The terminal provides the user with educational materials transmitted from the server. The input here is selected educational material information, and the output is the educational material provided to the user as visual and auditory information. Specifically, the terminal's display and speaker are used to display the educational materials and provide audio guidance. 【0817】 Step 4: 【0818】 Users engage in learning activities through a device. Input is the provision of learning materials by the device, and output is the user's operation history and answer results. The device tracks and records this activity data. 【0819】 Step 5: 【0820】 The device sends user learning activity data to the server. The input is data based on the user's learning activities, and after being sent to the server, it is stored as learning progress data. 【0821】 Step 6: 【0822】 The server analyzes the received learning progress data and evaluates the level of achievement. The input is learning activity data, and the analysis evaluates the user's understanding and learning outcomes. The output is feedback regarding the level of achievement, which is communicated to the user via the terminal in the form of rewards or titles. 【0823】 Step 7: 【0824】 The server generates prompts using a generative AI model and incorporates them into the selection of learning materials. The input is the user's learning interests and instructions from the prompts, and the output is strategic information for suggesting more in-depth learning materials. For example, a prompt such as, "Please tell me a strategy for suggesting appropriate learning materials, taking into account the user's interests related to 'science' in their profile," is generated. 【0825】 Step 8: 【0826】 The server generates a learning progress report and sends it to the parent / guardian via communication. The input is the user's learning progress data and achievement evaluation results, and the output is provided in the form of a progress report. This report serves as information for parents to understand their child's learning situation. 【0827】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0828】 This invention is a system that supports elementary school students' home learning. In addition to providing optimal learning materials tailored to the user's learning progress and interests, it further enhances the learning experience by combining it with an emotional engine. The system operates mainly through a server, terminals, and users, each having the following functions. 【0829】 1. User registration and profile settings 【0830】 The terminal displays a registration screen to the user and provides a means for them to enter the necessary attribute information. Once the user enters the information and completes registration, the terminal sends that information to the server. The server creates a user profile and stores it in a database, preparing to provide services tailored to the user's individual needs. 【0831】 2. Selection and provision of teaching materials 【0832】 The server selects the most suitable learning materials based on the user's profile, taking into account their learning interests and current progress. The selected materials are sent to the device, which then presents them to the user. This allows individual users to learn in an enjoyable way, focusing on content that interests them. 【0833】 3. Tracking and Sentiment Analysis of Learning Activities 【0834】 The device tracks the user's learning activity in real time, records learning data, and analyzes the user's facial expressions and voice using an emotion engine. The emotion engine recognizes the user's emotional state and sends information to the server about how the user is responding to the learning process. 【0835】 4. Providing personalized learning experiences 【0836】 The server dynamically adjusts learning materials and presentation methods based on sentiment analysis results from the emotion engine. For example, if a user is feeling frustrated with learning, the server adjusts the difficulty level of the materials to provide more accessible content. 【0837】 5. Maintaining Motivation and Achievement Rewards 【0838】 The server adjusts the criteria for points and badges based on the user's emotional state when evaluating their learning progress. The device notifies the user of this information and flexibly manages the learning schedule using friendly characters to maintain motivation for learning. 【0839】 6. Timely reporting of learning progress to parents / guardians. 【0840】 The server generates a learning progress report and notifies parents via email or app notification. The report also includes the user's emotional state and how learning adjustments were made based on it, making it easier for parents to understand their child's learning situation and help them provide appropriate support. 【0841】 Specific example 【0842】 If the emotion engine detects that a user is becoming tired and losing focus during the learning process, the server immediately adjusts the difficulty level of the learning materials or sends a simple activity to the device to refresh the user. This allows the user to take a break and create an environment where they can refocus. Additionally, if a user solves a complex problem and shows positive emotions in the process, they are awarded extra points and a badge that reinforces their sense of accomplishment. 【0843】 As described above, the present invention provides a personalized learning experience that takes into account the user's emotional state, thereby further improving the efficiency and enjoyment of learning. 【0844】 The following describes the processing flow. 【0845】 Step 1: 【0846】 The device displays a registration screen to the user, who then enters attribute information including their name, age, grade level, and learning interests. When the user presses the "Register" button, the device sends the information to the server. 【0847】 Step 2: 【0848】 The server creates a user profile based on the user attribute information it receives and stores it in the database. This makes it possible to select learning materials based on the individual needs of each user. 【0849】 Step 3: 【0850】 The server analyzes the user profile and selects appropriate learning materials based on the user's interests and learning progress. The selected materials are carefully chosen to match the user's preferences. 【0851】 Step 4: 【0852】 The server sends selected learning materials to the terminal, and the terminal displays those materials to the user. The user can access the materials through the terminal and begin learning. 【0853】 Step 5: 【0854】 The device tracks the user's learning activity in real time, recording which learning materials were studied and to what extent. Simultaneously, the device's camera and microphone analyze the user's facial expressions and voice, and an emotion engine analyzes their emotional state. 【0855】 Step 6: 【0856】 The emotion engine sends the user's emotional state to the server. Based on this data, the server dynamically adjusts the difficulty level and presentation method of the learning materials in response to changes in the user's emotions. 【0857】 Step 7: 【0858】 The server evaluates the user's learning progress and emotional state, and generates points and badges based on that progress. It adjusts the point criteria based on the emotional state to provide the user with optimal motivation. 【0859】 Step 8: 【0860】 The app notifies users of points and badges earned by the device, and uses friendly characters to manage learning schedules and remind users of study time. 【0861】 Step 9: 【0862】 The server generates a learning progress report and sends a detailed report to parents via email or app notification, including the user's emotional state and any adjustments made. This allows parents to understand their child's learning progress and provide appropriate support. 【0863】 (Example 2) 【0864】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0865】 While conventional learning support systems can provide learning materials tailored to the user's learning progress and interests, they fail to adequately optimize the learning experience based on the user's emotional state. As a result, they are unable to properly alleviate the frustration and fatigue users experience during learning, leading to challenges such as decreased learning effectiveness and reduced motivation. 【0866】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0867】 In this invention, the server includes means for receiving user attribute information and selecting appropriate learning materials based on the user's learning progress and learning interests; means for analyzing learning progress data and emotional data transmitted from an information terminal device, evaluating the level of achievement according to the learning situation, and rewarding the user; and means for transmitting the generated learning progress report to the guardian via digital communication. This makes it possible to provide an optimal learning experience that takes into account not only the user's learning progress but also their emotional state. 【0868】 "User attribute information" refers to basic personal data about a user, and is used to analyze their learning progress and interests. 【0869】 "Learning progress" is an indicator that shows what a user is learning and their progress in that learning. 【0870】 "Learning interests" refer to the learning content or themes that users are particularly interested in. 【0871】 An "information processing device" is a combination of hardware and software that has a series of functions for inputting, processing, storing, and outputting data. 【0872】 An "information terminal device" is an electronic device that a user can operate to send and receive information, and is a device that assists learning activities. 【0873】 "Emotional analysis" is a technology that recognizes and analyzes a user's emotional state as digital data. 【0874】 A "learning progress report" is a document that comprehensively summarizes a user's learning status and is primarily intended to provide information to parents. 【0875】 "Digital communication" refers to all communication methods that send and receive information in digital format. 【0876】 "Rewards" refer to points, badges, and other incentives given to users for their learning efforts and achievements. 【0877】 This invention is a system designed to support elementary school students' home learning and provides a learning experience tailored to the individual needs of each user. At the heart of the system are an information processing device (server) and an information terminal device (terminal), which function through user interaction with these devices via an interface. 【0878】 First, the device provides a screen for the user to input attribute information. The user enters their name, age, grade, etc., into a form on the device, and after completion, the device sends this information to the server. The server generates a user profile based on this information and stores it in a database. Using the generated profile, the server uses a generative AI model to identify the user's learning progress and interests and select appropriate learning materials accordingly. This AI model selects the most suitable learning materials for the user from a wide range of learning material data. The selected materials are sent to the device, which then displays them to the user. 【0879】 Furthermore, the device tracks the user's learning activity in real time and sends that data to the server. The device also uses its camera and microphone to acquire emotional data from the user's facial expressions and voice, and analyzes this data using emotion analysis technology. The analyzed emotional data is sent to the server, where it is used to adapt the learning content. For example, if the user is experiencing stress while learning, the server dynamically adjusts the content and difficulty level of the learning materials to provide the user with an appropriate learning environment. 【0880】 The server also evaluates the user's learning results and emotional state, and provides rewards. This includes adding points and awarding achievement badges. Reward information is notified to the user through the device, and visual and interactive feedback is provided to maintain user motivation. This helps to reinforce acquired skills and promote successful experiences. 【0881】 Parents will be informed of their child's learning progress through reports generated on the server. These reports will include the user's learning progress and adjustments based on sentiment analysis, and will be sent to parents via digital communication to support their understanding of and support for their child's learning. 【0882】 For example, if facial recognition detects frustration while a user is working on a complex math problem, the server can instruct the system to lower the difficulty level of the problem, and instead, the device can present the user with simpler calculation problems, allowing the user to regain motivation and continue studying. 【0883】 An example of a prompt message would be: "How can we personalize the learning experience based on the user's emotional state to support elementary school students' home learning? Please provide details about the specific steps and technologies to use." 【0884】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0885】 Step 1: 【0886】 The terminal displays an attribute information input screen to the user. The user enters information such as name, age, and grade, and sends the data to the terminal. The input from the terminal is attribute information from the user, and this information is sent directly to the server. The server receives this input, converts it into a format that can be stored in the database, and generates a user profile. 【0887】 Step 2: 【0888】 The server analyzes the user's learning progress and interests based on the generated user profile. The input is user profile data, and a generative AI model is used to perform data analysis to select relevant learning materials. Based on this analysis, the optimal learning materials are selected, and the results are sent to the device. The device receives the learning material data from the server and displays it to the user. 【0889】 Step 3: 【0890】 The device tracks the user's learning activity in real time and collects learning data. Specifically, it records which learning materials were used and for how long. The input is the user's learning actions, and the output is learning data to be sent to the server. The device sends this data to the server, which analyzes the data to evaluate the user's learning progress. 【0891】 Step 4: 【0892】 The device uses its camera and microphone to detect the user's facial expressions and voice, and acquires emotional data. The input is the user's facial expressions and voice data, and the emotional state is analyzed by the emotion engine. The output is sent to the server as the emotional analysis result, and the server adjusts the learning experience based on this data. 【0893】 Step 5: 【0894】 The server adjusts the difficulty level and content of the learning materials based on the sentiment analysis results. The input consists of sentiment data and learning progress data, and adjustments are made to optimize the user's learning experience. The server generates new learning material information and sends it to the terminal. The terminal reflects this and redisplays the most appropriate materials for the user. 【0895】 Step 6: 【0896】 The server evaluates the user's learning results and determines rewards based on their achievement level. Input consists of learning progress data and sentiment data, and the server performs evaluation calculations to determine points or badges. The server sends reward information to the terminal, which then notifies the user of the reward details. 【0897】 Step 7: 【0898】 The server generates a learning progress report and sends it to the parent / guardian via digital communication. The input consists of user learning activity and sentiment analysis data, which is used to create a detailed report. The server sends the completed report to the parent / guardian, who then checks their child's learning status. 【0899】 (Application Example 2) 【0900】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0901】 In modern education, providing learning materials tailored to each child's learning pace and interests is becoming increasingly important. However, traditional systems have the problem of not considering individual emotional states and only providing a limited learning experience. As a result, learning motivation may decline, and effective learning may become difficult to achieve. In particular, in home learning support, there is a need for learning materials that are linked to the learner's real-time emotional responses, but there is a lack of effective means to achieve this. 【0902】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0903】 In this invention, the server includes an information processing device that receives user attribute information and selects appropriate learning materials based on the user's learning progress and learning interests; a device that provides the learning materials transmitted from the information processing device to the user, tracks the user's learning activities, and performs sentiment analysis; and an information processing device that analyzes learning progress data and sentiment data transmitted from the device, evaluates the degree of achievement according to the learning situation and sentiment state, and awards points or rewards to the user. This makes it possible to provide a dynamic, personalized, and optimal learning experience that responds to the learner's progress and sentiments. 【0904】 "Users" refer to children and their guardians who use information processing systems for learning. 【0905】 "Attribute information" refers to data that indicates a user's personal information, learning history, interests, and preferences. 【0906】 "Learning progress" is an indicator that shows the current learning progress of the user. 【0907】 "Learning interest" refers to the degree of interest or concern a user has in learning. 【0908】 "Educational materials" refer to educational content and workbooks presented to support the user's learning. 【0909】 An "information processing device" is an electronic device that receives and analyzes user attribute information and learning data, and selects and provides appropriate educational materials. 【0910】 "Learning activities" refer to a series of actions taken by a user, including the process of engaging with learning materials. 【0911】 "Emotional analysis" refers to the process of analyzing a user's emotional state from facial expressions and voice data. 【0912】 "Points and rewards" refer to evaluation metrics and incentives awarded based on the user's learning progress and achievements. 【0913】 "Learning status" refers to information that indicates the current state of the user's learning process. 【0914】 A "personalized learning experience" refers to an experience where the learning process is customized to suit each user's characteristics and needs. 【0915】 The system for realizing this application mainly consists of an information processing device, an emotion analysis device, and a user interface. 【0916】 The information processing device receives user attribute information and has the function of selecting the most suitable learning materials based on the user's learning progress and interests. In this process, a generative AI model built on the cloud via the network is used. This model takes the user profile into consideration and generates learning material content tailored to each individual. 【0917】 The emotion analysis device analyzes the user's emotional state in real time based on camera footage and microphone audio collected during the user's learning activities. This analysis utilizes an emotion recognition algorithm powered by TensorFlow. 【0918】 The user interface provides visual and auditory feedback to the user based on learning materials and sentiment analysis results transmitted from the information processing device. This feedback is delivered through friendly characters designed to personalize and motivate the user's learning experience. 【0919】 For example, when a user is learning arithmetic, if the system detects a facial expression indicating they are struggling with a problem, the emotion analyzer sends that data to the information processing unit, and the generative AI model creates new learning materials with adjusted difficulty levels. The user then receives an encouraging message such as, "That problem might have been a little difficult. Let's try an easier one next time!" 【0920】 An example of a prompt for a generative AI model is the following text: "Based on the user's current learning progress and facial expression analysis results, please generate math learning materials at an appropriate level." 【0921】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0922】 Step 1: 【0923】 The server receives user attribute information over the network. This received data includes the user's personal information, past learning history, and areas of interest. Based on this, the user's profile is updated. 【0924】 Step 2: 【0925】 The server references the updated user profile and uses prompts to generate optimal learning materials for the AI ​​model. The input prompt includes the phrase "Generate appropriate math materials based on the user's current learning progress and interests," and the output is the generated learning material data. 【0926】 Step 3: 【0927】 The terminal receives educational data sent from the server and presents it to the user. Specifically, it either displays the educational material on the screen or reads it aloud. The input to the terminal is the generated educational data, and the output is the presentation of information visually or aurally. 【0928】 Step 4: 【0929】 The device uses its built-in camera and microphone to record the user's facial expressions and voice during learning activities. This data is used directly within the device for sentiment analysis, and the emotional state is output as a numerical value or category. 【0930】 Step 5: 【0931】 The server analyzes emotional state data transmitted from the terminal and regenerates learning materials with adjusted difficulty levels as needed. Emotional state data is used as input, and the output is newly selected learning material data. 【0932】 Step 6: 【0933】 The terminal re-presents the user with the adjusted learning materials received from the server, and further displays encouraging messages through a friendly character to help the user maintain a positive learning attitude. At this time, the generated messages are also output. 【0934】 The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data. 【0935】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0936】 In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414. 【0937】 Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion. 【0938】 Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together. 【0939】 These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression. 【0940】 The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become. 【0941】 Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant. 【0942】 The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more." 【0943】 The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values. 【0944】 The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format. 【0945】 In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data. 【0946】 In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56. 【0947】 Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12. 【0948】 Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56. 【0949】 The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory. 【0950】 The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor. 【0951】 Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources. 【0952】 Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose. 【0953】 The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above. 【0954】 All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted as being incorporated by reference. 【0955】 The following is further disclosed regarding the embodiments described above. 【0956】 (Claim 1) 【0957】 A server that receives user attribute information and selects appropriate learning materials based on the user's learning progress and learning interests, 【0958】 A terminal that provides learning materials transmitted from the aforementioned server to the user and tracks the user's learning activities, 【0959】 A server analyzes the learning progress data transmitted from the terminal, evaluates the level of achievement according to the learning status, and awards points or badges to the user. 【0960】 A system that includes this. 【0961】 (Claim 2) 【0962】 The system according to claim 1, comprising a means for managing the user's learning schedule using a friendly character and for reminding the user of their learning time. 【0963】 (Claim 3) 【0964】 The system according to claim 1, further comprising means for sending a learning progress report generated by the server to a parent or guardian via email or app notification. 【0965】 "Example 1" 【0966】 (Claim 1) 【0967】 An information processing device that receives user attribute information and selects appropriate educational resources based on the user's learning progress and learning interests, 【0968】 A display device that provides educational resources transmitted from the aforementioned information processing device to the user and tracks the user's learning activities, 【0969】 An information processing device analyzes learning progress information transmitted from the aforementioned display device, evaluates the degree of achievement according to the learning status, and assigns points or rewards to the user. 【0970】 An information processing device that uses a generative AI model to suggest the next learning step based on the user's interests, 【0971】 A system that includes this. 【0972】 (Claim 2) 【0973】 The system according to claim 1, comprising means for managing the user's learning plan using user-friendly dynamic display elements and notifying the user of their learning time. 【0974】 (Claim 3) 【0975】 The system according to claim 1, further comprising means for transmitting a learning progress report generated by the information processing device to a parent or guardian via data communication means. 【0976】 "Application Example 1" 【0977】 (Claim 1) 【0978】 A computer that receives user attribute information and selects appropriate learning materials based on the user's learning progress and learning interests, 【0979】 An information terminal device that provides educational materials transmitted from the aforementioned computer to the user and tracks the user's learning activities, 【0980】 A computer that analyzes learning progress data transmitted from the aforementioned information terminal device, evaluates the level of achievement according to the learning status, and assigns rewards or titles to the user, 【0981】 A mechanism that supports learning activities by facilitating voice communication with the user through interactive functions, 【0982】 A system that includes this. 【0983】 (Claim 2) 【0984】 The system according to claim 1, comprising means for managing the user's learning schedule using friendly, anthropomorphic display elements and for reminding the user of their learning time. 【0985】 (Claim 3) 【0986】 The system according to claim 1, further comprising means for transmitting a learning progress report generated by the aforementioned computer to a parent or guardian via communication means. 【0987】 "Example 2 of combining an emotion engine" 【0988】 (Claim 1) 【0989】 An information processing device that receives user attribute information and selects appropriate learning materials based on the user's learning progress and learning interests, 【0990】 An information terminal device that provides educational materials transmitted from the aforementioned information processing device to the user, tracks the user's learning activities, and performs sentiment analysis, 【0991】 An information processing device that analyzes learning progress data and emotion data transmitted from the aforementioned information terminal device, evaluates the degree of achievement according to the learning status, and provides rewards to the user, 【0992】 A system that includes this. 【0993】 (Claim 2) 【0994】 The system according to claim 1, comprising means for managing the user's learning schedule using user-friendly design elements and notifying the user of their learning time. 【0995】 (Claim 3) 【0996】 The system according to claim 1, further comprising means for transmitting a learning progress report generated by the information processing device to a parent or guardian via digital communication. 【0997】 "Application example 2 when combining with an emotional engine" 【0998】 (Claim 1) 【0999】 An information processing device that receives user attribute information and selects appropriate learning materials based on the user's learning progress and learning interests, 【1000】 A device that provides educational materials transmitted from the aforementioned information processing device to the user, tracks the user's learning activities, and performs sentiment analysis, 【1001】 An information processing device that analyzes learning progress data and emotional data transmitted from the aforementioned device, evaluates the degree of achievement according to the learning status and emotional state, and awards points or rewards to the user. 【1002】 A system that includes this. 【1003】 (Claim 2) 【1004】 The system according to claim 1, comprising means for managing the user's learning schedule using a friendly character, notifying the user of learning time, and providing encouragement according to their emotional state. 【1005】 (Claim 3) 【1006】 The system according to claim 1, further comprising means for sending a learning progress report generated by the information processing device to a parent or guardian via email or application notification, and including the content of learning adjustments in the report. [Explanation of Symbols] 【1007】 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

[Claim 1] A server that receives user attribute information and selects appropriate learning materials based on the user's learning progress and learning interests, A terminal that provides learning materials transmitted from the aforementioned server to the user and tracks the user's learning activities, A server analyzes the learning progress data transmitted from the terminal, evaluates the level of achievement according to the learning status, and awards points or badges to the user. A system that includes this. [Claim 2] The system according to claim 1, comprising a means for managing the user's learning schedule using a friendly character and for reminding the user of their learning time. [Claim 3] The system according to claim 1, further comprising means for sending a learning progress report generated by the server to a parent or guardian via email or app notification.

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