Learning support system

Abstract

To provide a learning support system capable of sustaining or upgrading a learning enthusiasm of a pupil who is relatively bad at learning.SOLUTION: A learning support system in accordance with an embodiment of the present disclosure includes: message generation means that generates a message to be sent from a learning support person C to a learner; message transmission control means for executing control to transmit a message generated by the message generation means to a learner; memory means that stores message adjustment information G14 which adjusts the contents of a message for each learner; and adjustment information upgrade means that upgrades the message adjustment information G14 on the basis of a learner's degree of upgrade in learning. The message generation means generates a message on the basis of the message adjustment information G14 upgraded by the adjustment information upgrade means.SELECTED DRAWING: Figure 6

Description

[Technical field]

[0001] The present disclosure relates to a learning support device. [Background technology]

[0002] Students who attend cram schools tend to have low motivation to study, procrastinate on homework given by the cram school, and start working on it just before the deadline. Therefore, by the time they start working on their homework, they often forget the content of the lessons, and the success rate of the homework is low, making it necessary to review it in the next lesson. In addition, some students who are relatively weak at studying have difficulty maintaining their motivation to study and end up abandoning their homework.

[0003] Meanwhile, in the field of learning support for supporting students' learning, various techniques have been proposed for maintaining or increasing students' motivation to learn. For example, Patent Document 1 discloses a technology that generates a reminder message to encourage the learner to execute a registered learning action plan depending on the degree of achievement of the learning action plan and sends the message to the learner's terminal device, thereby keeping the learner's attention on the study and making it easier to maintain and improve their motivation to study. Patent document 1 further discloses a technology in which a learning assistant sends a message of encouragement to a learner, making the learner aware of the assistant's watchful eye or monitoring, and making it easier for the learner to maintain or increase their motivation to learn.

[0004] For example, Patent Document 2 discloses a learning support device that supports users in their learning by outputting appropriate voice messages according to the answers the users enter to presented questions. Instead of outputting standard voice messages created by the manufacturer, the voice messages output to users are output by people close to the user, thereby enhancing the user's motivation to learn. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] JP 2011-017903 A [Patent Document 2] Japanese Patent Application Publication No. 9-016065 Summary of the Invention [Problem to be solved by the invention]

[0006] However, conventional techniques are targeted at average students and do not take into consideration students who are relatively weak at learning, and are not sufficient to maintain or increase the learning motivation of students who are relatively weak at learning.

[0007] An object of the present disclosure is to provide a learning support device that can maintain or increase the learning motivation of students who are relatively weak at learning. [Means for solving the problem]

[0008] A learning support device according to one embodiment of the present disclosure comprises a message generation means for generating a message to be sent from a learning supporter to a learner, a message sending control means for controlling the sending of the message generated by the message generation means to the learner, a storage means for storing message adjustment information for adjusting the content of the message for each learner, and an adjustment information update means for updating the message adjustment information based on the learner's degree of learning progress, wherein the message generation means generates the message based on the message adjustment information updated by the adjustment information update means. Effect of the Invention

[0009] According to one aspect of the present disclosure, it is possible to maintain the motivation of students who are relatively weak at studying. [Brief description of the drawings]

[0010] [Figure 1]FIG. 1 is a diagram illustrating an example of a configuration of a home learning support system according to an embodiment of the present disclosure. [Diagram 2] FIG. 1 is a diagram illustrating an example of a home learning support service. [Diagram 3] FIG. 13 illustrates an example of a homework-related message element. [Figure 4] FIG. 2 is a diagram showing an example of an electrical configuration of a cram school device. [Diagram 5] FIG. 2 is a diagram illustrating an example of an electrical configuration of a user device. [Figure 6] FIG. 2 is a diagram illustrating an example of an electrical configuration of the home learning support device. [Figure 7] FIG. 11 is a diagram illustrating an example of message adjustment information. [Figure 8] 13 is a flowchart illustrating an example of a homework-related notification service process. [Figure 9] FIG. 13 illustrates an example of a prompt. [Figure 10] 1A and 1B are diagrams showing an example of a sentence before correction, a sentence after correction, and a reason for correction. [Figure 11] FIG. 11 is a diagram showing another example of a sentence before correction, a sentence after correction, and a reason for correction. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0011] 1. Embodiment [Outline of the home learning support system] FIG. 1 is a diagram showing an example of a configuration of a home learning support system 1 according to an embodiment of the present disclosure. The home study support system 1 of this embodiment is an example of the "study support system" in the present disclosure, and is a system that provides a home study support service to a student U attending a cram school A to support the home study of the student U. The student U and home study are examples of the "learner" and "study" in the present disclosure, respectively. Cram school A is a private school separate from the school that student U regularly attends. At cram school A, student U takes lessons from instructor B and learns. In this disclosure, the content that student U learns at cram school A is appropriate. For example, the content of the lessons may be for further education and preparation for entrance exams, or may be content intended to supplement the lessons at the school that student U regularly attends.

[0012] [Home learning support services] FIG. 2 is a diagram showing an example of a home learning support service. As shown in FIG. 2, the home study support service of this embodiment includes a homework providing service, a support service, and an SNS (Social Networking Service) providing service. The homework provision service is a service that encourages the mastery of the material learned in class by giving Student U homework after the class at Cram School A, which includes questions that belong to the material learned in the class. In order to prevent a decline in motivation to study and to efficiently improve academic ability, homework questions of a difficulty level appropriate to Student U's academic ability are used.

[0013] The support service is a service in which a learning supporter C supports the home learning of a student U by interactively exchanging messages with the student U. The learning supporter C may be a real person who operates the home learning support device 30, or may be a virtual person realized by a program PR (described later) executed by the home learning support device 30. In this embodiment, the learning supporter C is assumed to be a virtual person. By interactively exchanging messages with the learning assistant C, the student U gets the feeling that he or she is being monitored or watched by the learning assistant C, and is therefore able to maintain or improve his or her motivation to learn. In the following explanation, the "feeling that he or she is being monitored or watched by a third party such as the learning assistant C" is referred to as the "feeling of being monitored."

[0014] The SNS provision service is a service that provides an SNS where multiple students U can interact. Through the SNS interaction, multiple students U can exchange information about their studies with each other and enjoy casual conversation.

[0015] As shown in FIG. 2, the support services of this embodiment include a homework-related notification service, a question and answer service, and a chat service.

[0016] The homework-related notification service is a service whereby a learning assistant C sends homework-related messages to a student U. A homework-related message is a message that notifies a student U of homework-related matters related to the homework. Homework-related matters include, for example, newly provided homework, the approaching deadline, unsubmitted homework, homework grading, the results of the grading, a request to redo incorrect answers and resubmit the homework, a reply to receiving information on the homework scope, and a summary of the homework for this week to be carried out at the end of the week. By receiving homework-related messages, Student U can grasp what he / she should do next for his / her homework and can smoothly proceed with his / her study work. In addition, homework-related messages informing Student U that the submission deadline is approaching are sent to Student U well before the deadline, which prevents him / her from procrastinating or abandoning his / her homework and prevents the quality of his / her homework from declining.

[0017] The question and answer service is a service in which a question message about a study is received from a student U, and a learning supporter C promptly replies with an answer message including an answer to the question in the question message. This question and answer service allows the student U to quickly resolve his or her doubts about the study and smoothly progress with his or her studies.

[0018] The chat service is a service in which a learning supporter C sends and receives chat messages between a student U and the learning supporter C. In this disclosure, "chatting" means sending and receiving chat messages that are messages about content other than learning. The chat service of this embodiment includes receiving a chat message from student U, having learning assistant C promptly reply to the chat message with an appropriate chat response message, and having learning assistant C send a chat provision message to student U at a predetermined transmission frequency to provide chat opportunities. The chat service helps student U feel closer to learning assistant C, lowering the barrier to asking questions. Furthermore, the closer the student U feels to the learning assistant C, the stronger the sense of being monitored. As a result, the student U is less resistant to homework-related messages received from the learning assistant C, and is more likely to carry out his / her learning tasks in accordance with the homework-related message notifications. In particular, even student U, who has the tendency of not listening to what is said unless a relationship of trust is built through casual conversation, can build a relationship of trust between him / her and learning assistant C through the casual conversation service.

[0019] Furthermore, the homework-related message of this embodiment may include a phrase that praises the student U. When the student U is in a state where he / she feels strongly monitored, receiving a homework-related message that includes a praising phrase makes him / her feel even happier, and he / she can maintain or increase his / her motivation to learn.

[0020] Here, in this embodiment, the content of homework-related messages and the frequency of sending chat-promoting messages are adjusted for each student U so that the motivation to study is maintained or increased not only for average students U, but also for students U who are relatively poor at studying. An example of a "student U who is relatively weak at learning" is a "student U whose academic ability is relatively low or below average," for example, a student whose deviation score is below "50." The population used to calculate the deviation score is appropriate, and is appropriately selected from, for example, the school that student U regularly attends, cram school A, the area where student U lives, and the area is a country, etc.

[0021] In general, students U who are relatively poor at studying tend to have at least one of the following first to fifth tendencies. The first tendency is a lack of initiative in self-study and homework. The second tendency is that students procrastinate and start homework just before the deadline, resulting in poor quality homework submissions. The third tendency is that the stronger the sense of being monitored, the more likely one is to start doing their homework. The fourth tendency is that people are less likely to feel monitored when they receive messages with uniform content. The fifth tendency is that even if the content of the messages is not uniform, for example, if Student U receives a homework-related message even once whose content is inconsistent with his or her own situation, he or she will no longer feel that way about homework-related messages he or she receives thereafter, even if he or she had felt that way about homework-related messages up until that point.

[0022] In other words, for student U who is relatively bad at studying, if the content of the homework-related message is uniform, there is a problem that it is difficult for the student U to accept the notification of the homework-related message. To address this problem, a method can be considered in which a plurality of standard phrases are preset for each individuality of student U, and one or more standard phrases corresponding to the individuality of student U are included in the homework-related message, thereby providing variation in the content of the homework-related message. However, with this method, the same standard phrase may be used multiple times in the homework-related message, which is likely to undermine the sense of being monitored.

[0023] In this embodiment, in order to address this issue, the content of the homework-related message sent from learning assistant C to student U is determined based on homework-related message elements that have been adjusted to correspond to student U.

[0024] FIG. 3 is a diagram showing an example of a homework-related message element. The homework-related message elements are elements that affect the content of the homework-related message. In this disclosure, the "content of the message" includes the sentences included in the message, as well as the matters and meanings written in the sentences. As shown in FIG. 3, the homework-related message elements of this embodiment include three elements: a homework-related element, a chat element, and a student adaptation element. The homework-related elements are elements that correspond to the homework-related matters described above. The chat element is an element corresponding to chatting, and in this embodiment corresponds to matters of interest or concern in which the student U shows interest or concern. The student adaptation element is an example of a "learner adaptation element" in the present disclosure, and includes adjustment items for adjusting the sentences used in the homework-related message. For example, the adjustment items include an item for adjusting the amount of praise, an item for adjusting the tone of the sentence, and an item for adjusting the priority or appearance order of the homework-related element and the chat element in the homework-related message.

[0025] Since the content of the homework-related messages includes chat elements that correspond to the interests and concerns of Student U, Student U is more likely to feel a sense of closeness to Learning Assistant C, and a relationship of trust between Student U and Learning Assistant C is more likely to be built. In addition, by adjusting the content of the homework-related messages for each student U, the messages do not become uniform, and it is possible to prevent a sense of being monitored and a decline in trust. As a result, it is possible to maintain or increase the motivation to study even for students U who are relatively weak at studying, and it is possible to prevent procrastination and neglect of homework, as well as a decline in the quality of homework submissions.

[0026] As described above, in the support service of this embodiment, the frequency of sending messages offering small talk sent from the learning supporter C to the student U is adjusted for each student U. By adjusting the frequency of sending messages offering small talk, the learning supporter C can interact with the student U at an appropriate distance, and can favorably maintain a relationship of trust and a sense of being monitored.

[0027] The home study support system 1 that provides such a home study support service will be described in detail below.

[0028] [Home learning support system configuration] As shown in Fig. 1, the home study support system 1 of this embodiment includes a cram school device 10, a plurality of user devices 20, and a home study support device 30. The cram school device 10, the plurality of user devices 20, and the home study support device 30 each access a network NW and communicate with each other via the network NW. The network NW includes a public communication line such as the Internet. The cram school device 10 is a device used by staff of the cram school A. The staff include, for example, instructor B, the principal, and administrative staff of the cram school A. The multiple user devices 20 are devices used by students U attending the cram school A to receive the above-mentioned home study support service. The home study support device 30 is an example of a "study support device" in the present disclosure, and is a device that provides the above-mentioned home study support service to students U who use the user devices 20.

[0029] [Cram school equipment] FIG. 4 is a diagram showing an example of the electrical configuration of the cram school apparatus 10. As shown in FIG. As shown in FIG. 4, the cram school device 10 includes a first control device 100, a first storage device 120, a first communication device 130, a first input device 140, and a first display device 150, each of which is connected to a bus so that they can send and receive data to each other.

[0030] The first control device 100 includes one or more CPUs (Central Processing Units). The CPU is an example of a processor, and includes an interface with peripheral devices, an arithmetic unit, and a register. A device including a CPU is an example of a computer. In the first control device 100, circuits such as a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), a PLD (Programmable Logic Device), and an FPGA (Field Programmable Gate Array) may be used instead of or in combination with the CPU.

[0031] The first storage device 120 is a recording medium readable by the first control device 100. The first storage device 120 includes a nonvolatile memory and a volatile memory. The nonvolatile memory is, for example, a Read Only Memory (ROM), an Erasable Programmable Read Only Memory (EPROM), and an Electrically Erasable Programmable Read Only Memory (EEPROM). The volatile memory is, for example, a Random Access Memory (RAM).

[0032] The first communication device 130 is hardware as a transmitting / receiving device that accesses the network NW and communicates with other devices via the network NW. The first communication device 130 is also called, for example, a network device, a network controller, a network card, and a communication module. The first communication device 130 may include a connector for wired connection and an interface circuit corresponding to the connector. The first communication device 130 may also include a wireless communication interface.

[0033] The first input device 140 is a device that receives input by an operation of a staff member and outputs a signal corresponding to this input to the first control device 100. Specific examples of the first input device 140 include a pointing device, a touch panel, and a keyboard. The first display device 150 is a device that displays various information. For example, the first display device 150 displays various information such as the status of the student U's homework and the exchange between the learning supporter C and the student U, and allows staff such as the school principal to check the information.

[0034] In the cram school device 10 of this embodiment, student basic information E1 and study range information E2 are input by staff of the cram school A. The student basic information E1 includes attribute information related to the attributes of the student U, academic ability information related to the academic ability of the student U, and lesson information related to the lessons taken by the student U. The attribute information includes, for example, the name, grade, and gender. The academic ability information includes, for example, the deviation score. The lesson information includes, for example, the scheduled date and time of the lessons taken by the student U. The student basic information E1 is input to the cram school device 10 by a staff member when the student U first enrolls in the cram school, and is updated by the staff member at appropriate times thereafter. In addition, the student basic information E1 input to or updated in the cram school device 10 is transmitted from the cram school device 10 to the home learning support device 30 via the network NW. The study range information E2 is information on the range that the student U learned in class at the cram school A, and is input into the cram school device 10 by staff after the class, and is transmitted from the cram school device 10 to the home study support device 30 via the network NW. Note that, when the range that the student U learned in class differs from the range of his / her homework, the study range information E2 may be information on the range of the homework.

[0035] [User device] FIG. 5 is a diagram showing an example of the electrical configuration of the user device 20. As shown in FIG. As shown in FIG. 5, the user device 20 includes a second control device 200, a second storage device 220, a second communication device 230, a second input device 240, and a second display device 250, each of which is connected to a bus so that data can be transmitted and received between them.

[0036] The second control device 200 includes one or more CPUs. The CPU is an example of a processor, and includes an interface with peripheral devices, an arithmetic unit, and a register. A device including a CPU is an example of a computer. In the second control device 200, circuits such as a DSP, an ASIC, a PLD, and an FPGA may be used instead of the CPU or in combination with the CPU.

[0037] The second storage device 220 is a recording medium that can be read by the second control device 200. The second storage device 220 includes a non-volatile memory and a volatile memory. The non-volatile memory is, for example, a ROM, an EPROM, and an EEPROM. The volatile memory is, for example, a RAM.

[0038] The second communication device 230 is hardware as a transmitting / receiving device that accesses the network NW and communicates with other devices via the network NW. The second communication device 230 is also called, for example, a network device, a network controller, a network card, and a communication module. The second communication device 230 may include a connector for wired connection and an interface circuit corresponding to the connector. The second communication device 230 may also include a wireless communication interface.

[0039] The second input device 240 is a device that receives input by operation of the student U and outputs a signal corresponding to this input to the second control device 200. Specific examples of the second input device 240 include a pointing device, a touch panel, a keyboard, a camera, and a voice input device. The second display device 250 is a device that displays various types of information. The second display device 250 may be provided integrally with the user device 20 or may be provided separately.

[0040] Specific examples of the user device 20 include portable, stationary, or wearable information processing devices. Examples of portable information processing devices include laptop personal computers, tablet personal computers, and smartphones. Examples of stationary information processing devices include desktop personal computers. Examples of wearable information processing devices include head-mounted displays.

[0041] The user device 20 of this embodiment is used for receiving homework provided by the home learning support device 30, creating homework submissions, submitting homework submissions, sending and receiving various messages in the support service, receiving homework hints, and receiving answer explanations.

[0042] [Home learning support device] FIG. 6 is a diagram showing an example of the electrical configuration of the home learning support device 30. As shown in FIG. As shown in FIG. 6, the home learning support apparatus 30 includes a third control device 300, a third storage device 320, and a third communication device 330, all of which are connected to a bus so as to be able to transmit and receive data to and from each other.

[0043] The third control device 300 includes one or more CPUs. The CPU is an example of a processor, and includes an interface with peripheral devices, an arithmetic unit, and a register. A device including a CPU is an example of a computer. In the third control device 300, circuits such as a DSP, an ASIC, a PLD, and an FPGA may be used instead of the CPU or in combination with the CPU.

[0044] The third storage device 320 is a recording medium readable by the third control device 300. The third storage device 320 includes a non-volatile memory and a volatile memory. The non-volatile memory is, for example, a ROM, an EPROM, and an EEPROM. The volatile memory is, for example, a RAM.

[0045] The third communication device 330 is hardware as a transmitting / receiving device that accesses the network NW and communicates with other devices via the network NW. The third communication device 330 is also called, for example, a network device, a network controller, a network card, and a communication module. The third communication device 330 may include a connector for wired connection and an interface circuit corresponding to the connector. The third communication device 330 may also include a wireless communication interface.

[0046] In the home study support device 30 of this embodiment, the third storage device 320 stores the above-mentioned program PR, a student database G1, a question database G2, and a homework management database G3. The program PR is a computer program for controlling the home learning support apparatus 30 . The student database G1 is an example of a storage means for storing information about a student U. The student database G1 of this embodiment stores student information G11, proficiency level information G12, interest and concern information G13, message adjustment information G14, and chat frequency adjustment information G15 in association with each other. The student information G11 includes the above-mentioned student basic information E1 received from the cram school apparatus 10. The mastery information G12 includes information relating to the mastery of each learning area. The interest and concern information G13 is information about matters in which the student U is interested and concerned. The message adjustment information G14 includes information for changing the content of the homework-related message depending on the student U, and specifically, includes information for adjusting homework-related message elements depending on the student U. The chat frequency adjustment information G15 includes information regarding adjustment of the sending frequency of chat-provision messages.

[0047] FIG. 7 is a diagram showing an example of the message adjustment information G14 described above. As shown in FIG. 7, the message adjustment information G14 of the present embodiment includes chat element adjustment information G14A and student adaptation element adjustment information G14B. The chat element adjustment information G14A is information indicating the degree of recommendation for including topics related to each interest recorded in the interest information G13 in a homework-related message. When an interest is to be included in a homework-related message, one or more of the interests are selected by lottery based on the degree of recommendation. The student adaptive element adjustment information G14B is an example of "learner adaptive element adjustment information" in the present disclosure, and is information indicating the adjusted value for each adjustment item that adjusts the content of the homework-related message according to the personality of the student U. In the illustrated example, the adjustment items include "praise priority," "praise frequency," and "message tone." "Praise priority" indicates the priority among multiple homework-related praise items. The praise items include, for example, the score, the submission rate, the submission deadline adherence rate, early submission, the number of questions, and the class attendance rate at the cram school A. "Praise frequency" indicates the frequency with which a phrase expressing praise for the praise item is included in the homework-related message. "Message tone" indicates the tone of the text used in the homework-related message. "Emoji use frequency" indicates the frequency with which emojis are used in the text.

[0048] In this embodiment, the initial values ​​of the message adjustment information G14 and the chat frequency adjustment information G15 are set based on appropriate information such as the student information G11, for example.

[0049] 6, the question database G2 is an example of a storage means for storing information about questions used in homework. The question database G2 of this embodiment stores question information G21 and marking information G22 in association with corresponding learning range information G23 and difficulty level information G24. The question information G21 is information that includes question data. The grading information G22 includes various information used to grade the homework submitted by the student U. The grading information G22 includes, for example, correct answers to questions, explanations, incorrect answers, and comments to guide the student U who answered the incorrect answers to the correct answers. The corresponding learning scope information G23 includes information indicating the learning scope to which the question belongs. The difficulty level information G24 includes information indicating the difficulty level of the question.

[0050] The homework management database G3 is an example of a storage means for storing information regarding homework provision to the student U. The homework management database G3 of this embodiment stores basic homework provision information G31, notification timing information G32, homework collection information G33, and grading result information G34 in association with each other. The homework provision basic information G31 includes information about the homework provided to the student U. The homework provision basic information G31 includes, for example, homework identification information that is identification information of the homework, student identification information that is identification information of the student U, the homework provision date, and the homework submission deadline. The notification timing information G32 includes information indicating the notification timing for each of the above-mentioned homework-related items. The homework collection information G33 includes information about homework submitted by the student U. The homework collection information G33 includes, for example, information such as the submission date of the homework submission, the number of days elapsed from the date of provision to the date of submission, and the homework submission rate to date. The number of days elapsed can be used as one of the indicators for evaluating the student U's motivation to learn, and it can be evaluated that the longer the number of days elapsed, the lower the motivation to learn tends to be. The grading result information G34 includes information about the grading result of the homework submission. The grading result information G34 includes, for example, the correct answer rate, the answer rate, the score, and the questions that were answered incorrectly. The correct answer rate and the answer rate can be used as one of the indicators for evaluating the quality of the homework submission, and the lower the correct answer rate and the answer rate, the worse the quality can be evaluated.

[0051] In the home study support device 30 of this embodiment, the third control device 300 functions as a homework service providing unit 3100, an SNS providing unit 3200, and a support service providing unit 3300 by executing the program PR. The homework service providing unit 3100 is a functional unit related to the provision of the above-mentioned homework service. The SNS providing unit 3200 is a functional unit related to the provision of the above-mentioned SNS. The support service providing unit 3300 is a functional unit related to the provision of the above-mentioned support service.

[0052] [Homework Service Department] The homework service providing unit 3100 of this embodiment includes a difficulty level setting unit 3101 , a question deciding unit 3102 , a homework providing unit 3103 , a homework collecting unit 3104 , a homework grading unit 3105 , and a skill level assessing unit 3106 . The difficulty setting unit 3101 is a functional unit that sets the difficulty of questions according to the academic ability of the student U. Specifically, the difficulty setting unit 3101 acquires the academic ability information of the student U from the student information G11 of the student database G1, and sets the difficulty of questions to be used in the homework of the student U based on the academic ability information. Note that the difficulty setting unit 3101 may set the difficulty by referring to other information such as proficiency information G12 in addition to the academic ability information.

[0053] The question determination unit 3102 determines the difficulty level set by the difficulty level setting unit 3101 and the questions corresponding to the learning range information E2 that the student U studied at the cram school A based on the question database G2.

[0054] The homework providing unit 3103 is a functional unit that generates homework including the question determined by the question determining unit 3102, and controls the third communication device 330 to provide the homework to the user device 20 of the student U through the network NW. The homework may be provided in either a push-type or pull-type form. The homework providing unit 3103 also sets the above-mentioned homework providing basic information G31 including the deadline for submitting the homework provided to the student U, and records the homework providing basic information G31 in the homework management database G3. The homework providing unit 3103 also sets notification timing information G32 indicating the notification timing for each homework-related item based on the homework provision date and the deadline for submission, and records the notification timing information G32 in the homework management database G3.

[0055] The homework collection unit 3104 is a functional unit that acquires homework submitted by the student U from the user device 20 via the network NW by controlling the third communication device 330. In addition, when the homework collection unit 3104 acquires the homework submission, it records the above-mentioned homework collection information G33 in the homework management database G3.

[0056] The homework grading unit 3105 is a functional unit that grades the homework submissions acquired by the homework collection unit 3104 based on the grading information G22 of the question database G2. The homework grading unit 3105 also generates the above-mentioned grading result information G34 based on the grading results of the homework submissions, and records the grading result information G34 in the homework management database G3.

[0057] The proficiency evaluation unit 3106 is a functional unit that evaluates the learning proficiency of the student U with respect to the learning range based on the grading result by the homework grading unit 3105. The proficiency evaluation unit 3106 also records the above-mentioned proficiency information G12 in the student database G1 based on the evaluation result of the learning proficiency. Note that the method of evaluating the learning proficiency is appropriate, and for example, the learning proficiency may be evaluated based on information such as the student U's correct answer rate, the content of the answer to the question, and the answering time. Also, information such as the correct answer rate, the content of the answer to the question, and the answering time may be collected by the homework grading unit 3105.

[0058] [SNS provision department] The SNS providing unit 3200 of this embodiment includes an SNS site providing unit 3201 . The SNS site providing unit 3201 is a functional unit that provides an SNS site where multiple students U can communicate with each other by sending and receiving content such as messages, images, and videos. Instead of the SNS site provided by the SNS site providing unit 3201, an SNS site or SNS service provided by a third party may be used.

[0059] [Support Services Department] The support service providing unit 3300 of this embodiment includes an event occurrence detecting unit 3301 , a message generating unit 3302 , a message correcting unit 3303 , a message sending control unit 3304 , a message receiving control unit 3305 , a collecting unit 3306 , and an adjustment information updating unit 3307 .

[0060] The event occurrence detection unit 3301 is a functional unit that detects the occurrence of an event that requires transmission of various messages related to service support from the home learning support device 30 to the user device 20. In this embodiment, the events include three types of events: a homework-related notification event, a question and answer event, and a chat event. The homework-related notification event is an event in which a homework-related message is transmitted from the home learning support device 30 to the user device 20 in the homework-related notification service, in other words, an event related to the occurrence of a homework-related matter. The event occurrence detection unit 3301 detects the occurrence of a homework-related notification event based on the notification timing information G32 recorded in the homework management database G3. The question answering event is an event in which an answer message in the question and answer service is transmitted from the home learning support apparatus 30 to the user apparatus 20. When a question message is transmitted from the student U, the event occurrence detection unit 3301 detects the occurrence of the question and answering event. The chat event is an event in which a chat response message and a chat provision message are transmitted from the home learning support device 30 to the user device 20. The event occurrence detection unit 3301 detects the occurrence of an event in which a chat response message is transmitted when a chat message is transmitted from a student U, and also detects the occurrence of an event in which a chat provision message is transmitted based on the chat frequency adjustment information G15 recorded in the student database G1. The event occurrence detection unit 3301 of this embodiment performs natural language processing on the message sent from the student U to determine whether the message is a question message or a chat message.

[0061] The message generating unit 3302 is a functional unit that generates a message corresponding to the type of an event on behalf of the learning supporter C when the event occurrence detecting unit 3301 detects the occurrence of the event. The message generating unit 3302 of this embodiment includes a sentence generating AI (Artificial Intelligence) unit 3302A in order to generate natural sentences as if drafted by a human. The sentence generating AI unit 3302A is a trained model constructed using a large-scale language model, and machine-learned to recognize an input called a prompt and appropriate sentences for the input. The trained model is an example of a natural language engine that outputs sentences in response to a prompt input. Then, the message generating section 3302 generates a prompt based on the type of event detected by the event occurrence detecting section 3301, and outputs a sentence corresponding to the prompt by the sentence generating AI section 3302A. Because the message generation unit 3302 generates sentences using the sentence generation AI unit 3302A, it is possible to generate a variety of sentences according to homework-related message elements even if prompts are patterned according to homework-related message elements, compared to configurations in which sentences are generated by combining specified phrases or using templates, for example.

[0062] To go into more detail about message generation for each type of event, when the type of event is a question and answer event, the message generation unit 3302 generates a prompt based on the question message, and outputs an answer sentence that answers the question message by the sentence generation AI unit 3302A. In addition, if the type of event is a chat event and is an event for sending a chat response message, the message generation unit 3302 generates a prompt based on student U's chat message and outputs a response sentence in response to the chat message by the sentence generation AI unit 3302A. In addition, if the type of event is a chat event and is an event for sending a chat message, the message generation unit 3302 generates a prompt based on the interest and concern information G13 recorded in the student database G1, and outputs a chat sentence on the topic of the interests and concerns indicated by the interest and concern information G13 by the sentence generation AI unit 3302A. Furthermore, if the type of event is a learning-related notification event, the message generation unit 3302 generates a prompt based on the homework-related message element and the message adjustment information G14, and outputs a sentence to be used in the homework-related message by the sentence generation AI unit 3302A. By generating a prompt based on the message adjustment information G14, a sentence adjusted according to the student U is generated.

[0063] Even when the event type is a question and answer event or a chat event, the message generating unit 3302 may use the information of the message adjustment information G14 to generate a prompt.

[0064] The message correction unit 3303 is a functional unit that corrects the text of the message output by the message generation unit 3302, and specifically includes a text correction AI unit 3303A including a trained model that has learned correction items by machine learning. The correction items are, for example, vocabulary used in text related to various messages used in support services, NG words that are prohibited from being used in the text, the tone of the message, and typos in the text. By correcting the text output by the message generation unit 3302 by the message correction unit 3303, unnaturalness in the text caused by the performance of the AI, etc., can be eliminated, making it difficult to distinguish the text from text drafted by a human.

[0065] In this embodiment, the trained model of the sentence generation AI unit 3302A is re-trained at appropriate times based on the correction results of the message correction unit 3303 or the message sent to student U, and the accuracy of the message in response to the prompt is gradually improved.

[0066] The message transmission control unit 3304 is a functional unit that controls the third communication device 330 to transmit the message corrected by the message correction unit 3303 to the user device 20 via the network NW. The message reception control unit 3305 is a functional unit that controls the third communication device 330 to receive a message transmitted from the user device 20 via the network NW. When the message reception control unit 3305 receives a message from the user device 20, the event occurrence detection unit 3301 detects the occurrence of a question answering event or a chat event, and transmits an answer message or a chat response message. Through this series of operations, interactive transmission and reception of messages between the student U and the learning supporter C is realized.

[0067] The collection unit 3306 is an example of a “collection means” in the present disclosure. The collection unit 3306 is a functional unit that collects the interests and concerns of the student U and records the collected interests and concerns in the interest information G13 of the student database G1. Specifically, the collecting unit 3306 collects the interests and concerns of the student U by identifying the interests and concerns of the student U based on the content posted by the student U on the SNS site and various messages sent by the student U to the learning supporter C in the support service. The interests and concerns of the student U may be collected from the reply message by including content in the chat-provision message asking the student U about his / her hobbies, interests, and other concerns. The collection operation of the collection unit 3306 makes it possible to efficiently collect matters of interest and concern that are highly likely to interest or concern the student U.

[0068] In addition, the collection unit 3306 of this embodiment has a function of deleting interests and concerns included in the interest information G13. Specifically, the collection unit 3306 deletes interests and concerns that indicate trendy items based on the time that has elapsed since the trend occurred. In addition, the collection unit 3306 deletes interests and concerns that indicate current events based on the time that has elapsed since the item occurred in the world. This deletion operation determines interests and concerns related to items that have already passed their trend and items that have lost their freshness and become less topical as chat topics, preventing the student U from feeling uncomfortable.

[0069] The adjustment information update unit 3307 is a functional unit that updates the message adjustment information G14 of the student U based on an index value indicating the degree of improvement of the student U's home study. The "degree of improvement of home study" includes, for example, the degree of improvement of academic ability and the degree of improvement of the attitude toward home study. Examples of the index value indicating the degree of improvement of home study include the homework submission rate, the change in learning proficiency, the frequency of sending messages to the learning supporter C, motivation to study, and the quality of homework submissions. By updating the message adjustment information G14 based on the index value indicating the degree of improvement of the student U's home study, the content of the learning-related message generated by the message generation unit 3302 is optimized for each student U so as to increase the degree of improvement of the student U's home study. Therefore, learning-related messages with contents optimized to increase the degree of improvement of the student U's home study are sent not only to general students U but also to students U who are relatively poor at studying, so that the motivation to study of the student U can be maintained or increased.

[0070] The adjustment information update unit 3307 of this embodiment is also a functional unit that changes the chat frequency adjustment information G15 based on a reply rate, which is the rate at which the student U replies to the chat-provisioning message. By changing the chat frequency adjustment information G15 based on the reply rate, the sending frequency is optimized for each student U, reflecting the student U's dislike and enthusiasm for chatting. As a result, the learning supporter C can interact with the student U at an appropriate distance, and can favorably maintain a relationship of trust and a sense of being monitored.

[0071] [Operation of the home learning support device] Next, the operation of the home learning support device 30 relating to the homework-related notification service of the support service will be described. FIG. 8 is a flowchart showing an example of a homework-related notification service process. In the home learning support device 30, when the event occurrence detection unit 3301 detects the occurrence of a homework-related notification event (step Sa1: Yes), the message generation unit 3302 determines a prompt based on the homework-related message elements and the message adjustment information G14, and generates a sentence corresponding to the prompt by the sentence generation AI unit 3302A (step Sa2).

[0072] More specifically, the message generator 3302 sets the homework-related elements among the homework-related message elements based on the homework-related matter that caused the homework-related notification event to occur. The message generating unit 3302 also determines the chat element among the homework-related message elements based on the chat element adjustment information G14A. As described above, the chat element adjustment information G14A associates the interests and concerns of the student U with the recommendation level, and the message generating unit 3302 determines one or more interests and concerns by drawing lots based on the probability based on the recommendation level. As a result, the interests and concerns are determined probabilistically, which generates randomness in the interests and concerns used as the chat element, making it difficult to select the same interests and concerns consecutively. In addition, interests and concerns with a low recommendation level may also be used as the chat element, so that chat about the interests and concerns can be provided at an unexpected time for the student U, and the student U's reaction to the chat can be collected. When the message generating unit 3302 determines the interests and concerns, the adjustment information updating unit 3307 may lower the recommendation level of the interests and concerns, making it even more difficult to select the interests and concerns at the next opportunity.

[0073] Then, the message generation unit 3302 determines a prompt based on the homework-related element, the chat element, and the student adaptation element adjusted by the student adaptation element adjustment information G14B, and generates a sentence according to the prompt by the sentence generation AI unit 3302A. As a result, a homework-related message is obtained that not only includes the interests and concerns of the student U, but is also adjusted to match the personality of the student U by the student adaptation element adjustment information G14B, giving the impression that the learning supporter C has a deep understanding of the student U.

[0074] FIG. 9 is a diagram showing an example of a prompt. In the illustrated example, the message generation unit 3302 generates a prompt including, in addition to the homework-related elements, chat elements, and student adaptability elements, “student information” indicating information about student U, and “additional information” indicating notes, restrictions, and other requirements. By including the “student information” and “additional information” in the prompt in this manner, the sentence generation AI unit 3302A can generate a sentence that is more suited to the situation of student U.

[0075] Note that the prompt in FIG. 9 is merely an example and can be changed as appropriate. For example, the prompt may include a sentence from a past homework-related message sent to the same student U to notify the same homework-related matter. As a result, the sentence will be similar to the past sentence, so that the tone of the messages sent to the same student U can be made consistent.

[0076] 8, the message correction unit 3303 corrects the sentence output by the message generation unit 3302 (step Sa3). In this case, in addition to or instead of the correction by the message correction unit 3303, for example, a person who has been contracted as the learning supporter C may manually correct the sentence.

[0077] 10 and 11 are diagrams showing an example of a sentence before correction, a sentence after correction, and a reason for correction, respectively. As shown in the illustrated example, the text of a message generator 3302 is corrected by a message corrector 3303 so as to come closer to a text drafted by a human being.

[0078] Returning to FIG. 8, thereafter, the message transmission control unit 3304 controls the third communication device 330 to transmit the message corrected by the message correcting unit 3303 to the user device 20 via the network NW (step Sa4). As a result, learning-related messages are delivered to student U from a perspective that maintains and improves student U's motivation to learn, and whose content is optimized from a perspective that corresponds to student U's personality.

[0079] Furthermore, if the occurrence of a homework-related notification event is not detected in step Sa1 (step Sa1: No), the adjustment information update unit 3307 updates the message adjustment information G14 of the student U based on the above-mentioned index value indicating the student U's improvement in home learning, thereby optimizing the message adjustment information G14 (step Sa5). As a result, in step Sa2, the content of the homework-related message generated by the message generation unit 3302 is optimized for each student U so as to increase the student U's improvement in home learning.

[0080] As described above, the home study support device 30 of this embodiment includes a message generation unit 3302 that generates a homework-related message to be sent from the study supporter C to the student U, a message transmission control unit 3304 that executes control to transmit the homework-related message generated by the message generation unit 3302 to the student U, a student database G1 that stores message adjustment information G14 that adjusts the content of the homework-related message for each student U, and an adjustment information update unit 3307 that updates the message adjustment information G14 based on the degree of learning progress of the student U. The message generation unit 3302 generates the homework-related message based on the message adjustment information G14 updated by the adjustment information update unit 3307. According to this configuration, the message adjustment information G14 is updated based on the improvement level of the student U's home study, and the content of the study-related message is optimized for each student U so as to improve the improvement level of the student U's home study. Therefore, study-related messages with content optimized to improve the improvement level of the student U's home study are sent not only to an average student U but also to a student U who is relatively weak at studying, so that the student U's motivation to study can be maintained or improved.

[0081] The home learning support device 30 of this embodiment includes a collection unit 3306 that collects interests and concerns of the student U. The homework-related message includes learning-related elements corresponding to the learning-related matters related to learning, and chat elements corresponding to chatting provided by the learning supporter C to the student U. The message adjustment information G14 includes chat element adjustment information G14A indicating a recommendation level for recommending the use of each of the interests and concerns of the student U in the homework-related message. The message generation unit 3302 generates a learning-related message based on the learning-related elements and the interests and concerns determined based on the recommendation level. With this configuration, the content of the learning-related message, which includes learning-related elements, includes a chat element, making it easier for the student U to feel closer to the learning assistant C and also making it easier to build a relationship of trust between the student U and the learning assistant C.

[0082] In the home study support apparatus 30 of this embodiment, the message generating unit 3302 determines one or more interests and concerns of the student U by lottery based on the recommendation level and the probability. According to this configuration, the interests are determined probabilistically, which generates randomness in the interests used as chat elements, making it difficult to select the same interests repeatedly. Also, interests with low recommendation levels may be used as chat elements, so chat about the interests can be provided at unexpected times for the student U, and the student U's reaction to the chat can be collected.

[0083] In the home learning support device 30 of this embodiment, the collection unit 3306 collects the interests and concerns of student U based on at least one of the chat messages sent from student U to learning supporter C and the content posted by student U on an SNS (social network service). According to this configuration, it is possible to efficiently collect interests and concerns that are highly likely to interest or concern the student U, and use these as chat elements in study-related messages.

[0084] In the home study support apparatus 30 of this embodiment, the collection unit 3306 deletes trending items or current affairs items from the collected items based on the amount of time that has elapsed since the items were collected. According to this configuration, topics of interest and concern related to topics that are no longer trendy or that have lost their freshness and become less topical are determined as topics for chatting, which prevents student U from feeling uncomfortable.

[0085] In the home learning support device 30 of this embodiment, the homework-related message further includes a student adaptation element including an adjustment item for adjusting a sentence used in the homework-related message, and the message adjustment information G14 includes student adaptation element adjustment information G14B indicating an adjustment value according to the personality of the student for the adjustment item of the student adaptation element. The message generation unit 3302 generates the homework-related message based on the learning-related element, the interests and concerns determined based on the recommendation level, and the adjustment value of the student adaptation element adjustment information G14B. With this configuration, homework-related messages are obtained that not only include the interests and concerns of student U, but are also tailored to student U's personality by the student adaptation element adjustment information G14B, giving the impression that the learning assistant C has a deep understanding of student U.

[0086] In the home learning support device 30 of this embodiment, the message generation unit 3302 includes a sentence generation AI unit 3302A having a natural language engine. The sentence generation AI unit 3302A outputs sentences corresponding to the prompts set based on the learning-related elements, chat elements, and student adaptation element adjustment information G14B. With this configuration, compared to configurations in which sentences are generated by combining predetermined phrases or using templates, even if the prompts are patterned, it is possible to generate a variety of sentences in accordance with learning-related elements, chat elements, and student adaptation element adjustment information G14B.

[0087] The home study support apparatus 30 of this embodiment includes a message correction unit 3303 that corrects the text of the homework-related message generated by the message generation unit 3302. According to this configuration, the sentence output by the message generation unit 3302 is corrected by the message correction unit 3303, thereby eliminating unnaturalness in the sentence caused by the performance of the AI, etc., and making it difficult to distinguish from sentences drafted by a human.

[0088] In the home learning support device 30 of this embodiment, the message generation unit 3302 generates a chat-providing message that provides chat from the learning supporter C to the student U. The student database G1 also stores chat frequency adjustment information G15 in which the sending frequency of the chat-providing message is adjusted for each student U. The message transmission control unit 3304 then executes control to send the chat-providing message to the student U at the sending frequency indicated by the chat frequency adjustment information G15. According to this configuration, the frequency of sending chat messages is adjusted for each student U, allowing the learning assistant C to maintain an appropriate distance from the student U, thereby maintaining a relationship of trust and a sense of being monitored.

[0089] 2. Variations The following are examples of modified forms that can be added to the above-described embodiment. Two or more forms selected from the following examples may be combined as appropriate within the scope of not being mutually contradictory.

[0090] (1) The learner is not limited to student U attending cram school A. For example, the learner may be a student or a working adult. The learning is not limited to home learning. For example, the learning may be learning at school, at work, at a seminar, or the like. The learning subject is not limited to academics such as classes at cram school A. For example, the learning subject may be academics or extracurricular activities such as abacus, calligraphy, and painting.

[0091] (2) The sentence generation AI unit 3302A and the sentence correction AI unit 3303A may be provided in a device or system separate from the home learning support device 30.

[0092] 3.Other (1) In the above-described embodiment, ROM and RAM are given as examples of first storage device 120, second storage device 220, and third storage device 320, but first storage device 120, second storage device 220, and third storage device 320 may also be a flexible disk, a magneto-optical disk (e.g., a compact disk, a digital versatile disk, a Blu-ray (registered trademark) disk), a smart card, a flash memory device (e.g., a card, a stick, a key drive), a CD-ROM (Compact Disc-ROM), a register, a removable disk, a hard disk, a floppy (registered trademark) disk, a magnetic strip, a database, a server, or other suitable storage medium.

[0093] (2) In the above-described embodiments, the described information, signals, etc. may be represented using any of a variety of different technologies. For example, data, instructions, commands, information, signals, bits, symbols, chips, etc. that may be referred to throughout the above description may be represented by voltages, currents, electromagnetic waves, magnetic fields or magnetic particles, optical fields or photons, or any combination thereof.

[0094] (3) In the above-described embodiment, the input / output information, etc. may be stored in a specific location (e.g., memory) or may be managed using a management table. The input / output information, etc. may be overwritten, updated, or added. The output information, etc. may be deleted. The input information, etc. may be transmitted to another device.

[0095] (4) In the above-described embodiments, the determination may be made based on a value represented by 1 bit (0 or 1), a Boolean (true or false) value, or a numerical comparison (e.g., comparison with a predetermined value).

[0096] (5) The order of the process steps, sequences, flow charts, etc. illustrated in the above-described embodiments may be changed without causing any inconsistency. For example, the methods described in this disclosure present elements of various steps using an example order, and are not limited to the particular order presented.

[0097] (6) Each function illustrated in one or more figures referred to in the embodiments is realized by any combination of at least one of hardware and software. Furthermore, the method of realizing each functional block is not particularly limited. That is, each functional block may be realized using one device that is physically or logically combined, or may be realized using two or more devices that are physically or logically separated and directly or indirectly connected (for example, using wires, wirelessly, etc.). The functional block may be realized by combining the one device or the multiple devices with software.

[0098] (7) The programs exemplified in the above-described embodiments should be broadly interpreted to mean instructions, instruction sets, code, code segments, program code, programs, subprograms, software modules, applications, software applications, software packages, routines, subroutines, objects, executable files, execution threads, procedures, functions, etc., regardless of whether they are called software, firmware, middleware, microcode, hardware description language, or by other names.

[0099] Additionally, software, instructions, information, etc. may be transmitted or received over a transmission medium. For example, if the software is transmitted from a website, server, or other remote source using wired technologies (such as coaxial cable, fiber optic cable, twisted pair, Digital Subscriber Line (DSL)), and / or wireless technologies (such as infrared, microwave, etc.), then these wired and / or wireless technologies are included within the definition of transmission media.

[0100] (8) In each of the above embodiments, the terms “system” and “network” are used interchangeably.

[0101] (9) The information, parameters, etc. described in this disclosure may be expressed using absolute values, relative values ​​from a predetermined value, or corresponding other information.

[0102] (10) In the above-mentioned embodiments, the terms "connected" and "coupled" or any variation thereof refer to any direct or indirect connection or coupling between two or more elements, and may include the presence of one or more intermediate elements between two elements that are "connected" or "coupled" to each other. The coupling or connection between elements may be physical, logical, or a combination thereof. For example, "connected" may be read as "accessed." As used in this disclosure, two elements may be considered to be "connected" or "coupled" to each other using at least one of one or more wires, cables, and printed electrical connections, as well as electromagnetic energy having wavelengths in the radio frequency range, microwave range, and light (both visible and invisible) range, as some non-limiting and non-exhaustive examples.

[0103] (11) In the above embodiments, the phrase "based on" does not mean "based only on," unless otherwise specified. In other words, the phrase "based on" means both "based only on" and "based at least on."

[0104] (12) As used in this disclosure, the terms "determining" and "determining" may encompass a wide variety of actions. "Determining" and "determining" may include, for example, judging, calculating, computing, processing, deriving, investigating, looking up, search, inquiry (e.g., searching in a table, database, or other data structure), ascertaining, and the like. Also, "determining" and "determining" may include receiving (e.g., receiving information), transmitting (e.g., sending information), input, output, accessing (e.g., accessing data in a memory), and the like. In addition, "judgment" and "decision" can include considering resolving, selecting, choosing, establishing, comparing, etc., to be a "judgment" or "decision." In other words, "judgment" and "decision" can include considering some action to be a "judgment" or "decision." In addition, "judgment (decision)" can be interpreted as "assuming," "expecting," "considering," etc.

[0105] (13) In the above embodiments, when "include," "including," and variations thereof are used, these terms are intended to be inclusive, similar to the term "comprising." Furthermore, the term "or" used in this disclosure is not intended to be an exclusive or.

[0106] (14) In this disclosure, where articles have been added by translation, such as a, an, and the in English, the disclosure may include that the nouns following these articles are in the plural.

[0107] (15) In this disclosure, the term "A and B are different" may mean "A and B are different from each other." The term may also mean "A and B are each different from C." Terms such as "separate" and "combined" may also be interpreted in the same way as "different."

[0108] (16) Each aspect / embodiment described in this disclosure may be used alone, in combination, or switched according to execution. In addition, notification of specific information (e.g., notification that "X is the case") is not limited to being done explicitly, but may be done implicitly (e.g., not notifying the specific information). [Explanation of symbols]

[0109] 1...home learning support system, 10...cram school device, 20...user device, 30...home learning support device, 300...third control device, 320...third storage device, 330...third communication device, 3300...support service providing unit, 3301...event occurrence detection unit, 3302...message generation unit, 3302A...sentence generation AI unit, 3303...message correction unit, 3303A...sentence correction AI unit, 3304...message sending control unit, 3305...message receiving control unit, 3306...collection unit, 3307...adjustment information update unit, C...learning supporter, G1...student database, G11...student information, G12...proficiency information, G13...interest information, G14...message adjustment information, G14A...chat element adjustment information, G14B...student adaptation element adjustment information, G15...chat frequency adjustment information, PR...program, U...student.

Claims

1. a message generating means for generating a message to be sent from a learning supporter to a learner; a message transmission control means for controlling transmission of the message generated by the message generating means to the learner; a storage means for storing message adjustment information for adjusting the content of the message for each learner; an adjustment information update means for updating the message adjustment information based on a degree of learning progress of the learner; Equipped with The message generating means The message is generated based on the message adjustment information updated by the adjustment information update means. Learning aids.

2. A collection means for collecting matters in which the learner shows an interest or concern is provided, The message may include: learning-related elements that correspond to learning-related matters related to learning; A chat element corresponding to a chat provided from the learning supporter to the learner; Including, The message adjustment information includes: The message includes chat element adjustment information indicating a recommendation level for using the chat element in the message for each of the items that the learner is interested in or concerned about, The message generating means generating the message based on the learning-related factors and matters in which the learner shows an interest or concern, the matters being determined based on the recommendation level; The learning support device according to claim 1 .

3. The message generating means One or more items in which the learner shows interest or concern are determined by a lottery based on the recommendation level. The learning support device according to claim 2.

4. The collecting means is Collecting matters in which the learner shows interest or concern based on at least one of a message sent from the learner to the learning assistant and content posted by the learner on a social network service. The learning support device according to claim 2.

5. The collecting means includes: Delete trending or topical items from the collection based on the time that has passed since the item was collected. The learning support device according to claim 2.

6. The message may include: a learner adaptation element including adjustments for adjusting the text used in the message; The message adjustment information includes: Regarding the adjustment items of the learner adaptation elements, learner adaptation element adjustment information indicating adjustment values ​​according to the personality of the learner is included; The message generating means The message is generated based on the learning-related elements, matters in which the learner shows an interest or concern determined based on the recommendation level, and an adjustment value indicated by the learner adaptation element adjustment information. The learning support device according to claim 2.

7. The message generating means A sentence generation AI unit having a natural language engine, The sentence generation AI unit is Outputting a sentence corresponding to a prompt set based on the learning-related element, the chat element, and the learner-adapted element adjustment information The learning support device according to claim 6.

8. A message correction means is provided for correcting the text of the message generated by the message generation means. The learning support device according to claim 7.

9. The message generating means generating a chat providing message for providing chat from the learning supporter to the learner; The storage means includes: storing chat frequency adjustment information in which the frequency of sending the chat-providing message is adjusted for each of the learners; The message transmission control means executes control to transmit the chat providing message to the learner at the transmission frequency indicated by the chat frequency adjustment information. The learning support device according to claim 1 .

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