50results about How to "Improve learning motivation" patented technology

A system for producing an educational material for students. The system has a storing part for storing raw educational materials into a database, an input part for inputting both student-related data and educational environment-related data, and an educational material producing unit for selecting at least one raw educational material from said the database based on predetermined selecting criteria and the inputted student-related data and educational environment-related data to produce educational material from the selected at least one raw educational material.

The invention discloses a personalized recommendation method based on user data of on-line courses. The method comprises following steps of: 1), establishing label mapping relations among courses, labels and titles; 2), calculating an error rate list ET of a user to courses by a course recommendation system according to learning records of the user; 3), generating error lists of all courses according to the list ET and calculating the similarity between two courses according to error lists of courses; and 4), as for each user, calculating prediction weight of error rate of each course of the user according to similarity; calculating recommendation weight of each label according to mapping relations and prediction weight of error rate; calculating recommendation weight of each title according to mapping relations and label recommendation weight and then generating a recommendation list for the user according to recommendation weight of titles. The personalized recommendation method based on user data of on-line courses not only helps to solve a cold start problem but also actively attracts attention of the user in order to improve learning motivation.

The invention discloses a knowledge graph-based learning path design system, and belongs to the technical field of learning path design, and the knowledge graph-based learning path design system comprises a knowledge graph construction module which is used for collecting, sorting and representing knowledge in different fields from various sources, and constructing a knowledge graph model; the system comprises a learning module which is used for integrating knowledge levels, interests, preferences and learning style information of users into a coherent knowledge system, a user modeling module which is used for understanding and representing the knowledge levels, interests, preferences and learning style information of the users, and a learning path planning module which is used for generating personalized learning paths according to the information provided by the user modeling module. According to the method, multiple aspects of knowledge graph construction, user modeling, learning path planning, learning resource management, learning monitoring and the like are covered, and through cooperative work of the modules, the system can provide efficient, personalized and comprehensive learning path design, so that the experience and learning effect of learners are remarkably improved.

The invention discloses an autism self-adaptive intervention system based on a key reaction training mode. The system comprises an evaluation data clustering module, a sensing module, a behavior stateanalysis module, an intelligent auxiliary intervention module, an intervention path generation module and an intervention resource module. The invention provides a key reaction training interventionmode supported by a human-computer interaction technology for autistic children. Before intervention is started, an initialized intervention path is provided for the autistic child through evaluationdata analysis, the behavior state of the autistic child is sensed in the intervention process, and therefore parents / teachers are guided to initiate an intensifying instruction to the autistic child and naturally intensify the autistic child or trigger intensifying in intervention resources in real time. Besides, the system can also adaptively adjust the intervention path according to the performance of the child in intervention, and dynamically provide gamified intervention items for the autistic child according to the intervention path so as to improve the key skills of the autistic child.

The invention discloses an electronic education learning method and device based on tasks, the electronic education learning method and device are applied to a server end, and the method comprises the steps of: S1, receiving a learning resource obtaining instruction sent by a target client end; S2, obtaining corresponding personal information according to a target client end identifier, using the personal information as a matching condition, and matching the matching condition to corresponding teaching material information; and S3, obtaining corresponding learning resources according to the teaching material information and sending the learning resources to the target client end. According to the invention, the teaching material applicable to a user can be intelligently identified, the corresponding learning resources are returned to the user, and the user is helped for pointed learning.

The invention discloses an English word memorizing system based on a memory curve, and the system comprises a login module which is used for carrying out registration and login operation, obtaining personal information, and recommending learning contents and plans; the learning module is used for executing a learning and memorizing process and recording a learning progress and a memorizing condition; the memory curve updating module is used for generating an initial memory curve and dynamically updating memory curve parameters; the plan generation module is used for automatically generating a personalized review plan; the review module is used for regularly sending review reminding according to the review plan; and the feedback module is used for obtaining feedback and suggestions of the user and carrying out optimization and improvement. According to the method, the review time is intelligently arranged based on the memory curve, the natural law of human memory and forgetting is followed, the learning content and the review plan are customized according to the individual difference of learners, the learning motivation is enhanced, the learners are endowed with more autonomy, the self-management and self-driving capabilities are cultivated, and a foundation is laid for lifelong learning.

The invention discloses a child massage teaching auxiliary system based on artificial intelligence, and particularly relates to the technical field of massage auxiliary teaching, a Kalman filtering technology is adopted to effectively filter out large-amplitude interference in hand motion data, time-frequency analysis is carried out in combination with fast Fourier transform or wavelet transform, and frequency domain characteristics of microfibrillation signals are accurately captured; through fine micro-tremor signal analysis, noise interference is removed, the fine change of micro-tremor of the hands of a student is accurately identified, and the evaluation precision of the massage action stability is remarkably improved; and the integrated learning progress management module automatically adjusts teaching contents according to the learning progress and skill mastering conditions of the students, provides real-time feedback and forward excitation, provides excitation when the students have good performance, prompts and optimizes follow-up actions in real time when deviation occurs, helps the students to continuously improve skills, avoids error accumulation, and effectively improves the teaching effect.

The invention provides a teaching training method based on big data and artificial intelligence, and the method comprises the following steps of designing a teaching scheme which is implemented in a computer-assisted mode in a teaching process according to preset ideas of educational science, psychology and game science, and providing a teaching mode which gives priority to learning, practice, interaction, game and testing. Compared with traditional teaching, the method in the invention improves the learning efficiency, stimulates the learning interest, and assists in improving the learning effect.

The invention provides an online micro-grid virtual simulation training system, comprising an online micro-grid virtual simulation training platform and an operation module, wherein the online micro-grid virtual simulation training platform comprises a scene creation module, a mode selection module, a feedback module, a background module, a discussion module and an information release module; theoperation module is used for operating the behavior of a virtual character, controlling the travel of the virtual character, operating device buttons and switches, and operating contents in micro-gridcontrol software. The online micro-grid virtual simulation training system provided by the invention improves the micro-grid training mode by means of the online micro-grid virtual simulation training platform, makes the training environment be more vivid and controllable, improves the learning motivation of the students, achieves virtual and real combination and virtual and real interaction between the virtual training and the real training, and realizes the gradual and hierarchical learning.

The invention provides a word memorizing assisting system comprising the following modules: a word memorizing module which is used for performing word memorizing learning on the specific word bank after the user selects the specific word bank; a PK module which is used for selecting and performing random matching of the opponent of the same level according to the currently selected word bank and the word memorizing progress of the user so as to perform comparison in real time and record the comparison result; and a word quantity test module which is used for a set of word quantity test questions of the specific quantity, wherein the preset number of levels are set through division according to the level of difficulty, all levels of difficulty gradually increase, each level has independent algorithm, the result of summarizing the test results of all levels acts as the word quantity test level of the user, and the difference value of the word quantity test level of the user and the real word quantity of the user is set.

The invention relates to the technical field of mixed learning, in particular to an online and offline combined digital interactive teaching method and system, and the method comprises the following steps: collecting online and offline learning data of students, carrying out the statistics of the number and frequency of various interaction types, including the number of discussion times, the number of question answering times and the group cooperation frequency, and generating an initialized interactive data set. According to the method, redundancy and deficiency of various interactions are calculated through the information entropy technology, information vacancy in learning is helped to be recognized, teaching content is optimized, student requirements are matched, the optimized design defines a learning target, an expected interaction frequency is set, the interaction adjustment effect is verified through a simulation test, it is ensured that teaching activities are more targeted, and the teaching efficiency is improved. The interaction frequency is dynamically adjusted in real-time teaching, the sense of participation of students is improved, the learning effect can be monitored in real time, the learning motivation and achievement of the students are improved, and implementation of personalized learning is promoted.

The invention provides an interactive method and device of an online class, and electronic equipment and is used for solving the problems of cumbersome operation and poor teaching effect in the priorart when a teacher needs a specific student to answer a question. The interactive method comprises the following steps: receiving a first class process instruction, wherein the first class process instruction is used for indicating and triggering roll-calling information; sending the roll-calling information according to the first class process instruction; amplifying a video window correspondingto the roll-calling information.

The invention provides a group-type multi-role-playing virtual simulation training method and system and a medium, and the method comprises the steps: carrying out the simulation training in response to a virtual simulation training scene selected by at least one teacher user, and determining the number and types of roles participating in the virtual simulation training scene; n of the M trainees apply to participate in the virtual simulation training scene, the N trainees are allocated as roles, the mapping relation between the roles and the N trainees is determined, and scoring permissions of the remaining Q trainees are configured; recording training process data of N trainees participating in group training; obtaining evaluation data of roles played by the Q user students on the N student users; obtaining an evaluation score of each student user participating in the virtual simulation training scene according to the mapping relation; and finally, based on the obtained Q evaluation scores, determining training scores of the user trainees participating in training.

The invention provides a user answer information processing method, system and device and a medium. The processing method comprises the steps of obtaining first answer information of a user about a target exercise; if the first answer information does not meet the preset requirement, obtaining second answer information about the target exercise of the user; and if the second answer information does not meet the preset requirement, putting the target exercises into a wrong question book corresponding to the user. According to the invention, a more reasonable and accurate exercise interaction mode and a wrong question collection mode are provided for the user, and a feedback mechanism of'switching back 'can be provided for question doing errors of students in the learning process, so that the real mastering condition of the students for exercises can be identified more accurately; according to the method, the answers which are actually understood correctly by the students but are wrongly selected due to mistaken clicking, misoperation and the like are eliminated, so that the wrong questions which are not really mastered by the students are collected, a reliable basis is provided for subsequent tutoring, the learning state of the students can be evaluated more accurately, and a more targeted teaching strategy is formulated.

The invention relates to a digital teaching system based on a multi-mode intelligent technology. A teaching end displays digital content through screen equipment; the control end provides a digital classroom control capability for teachers or assistant teachers through mobile equipment; the student end realizes real-time interaction between students and the digital classroom through a mobile device configured with a voice device; the server is configured with an intelligent knowledge base, analyzes classroom data based on an intelligent algorithm and a big data analysis technology, generates a learning path and recommendation resources according to student conditions, processes questions with the help of natural languages, and drives the whole teaching to operate intelligently. According to the invention, classroom interaction intellectualization can be realized, teaching quality can be improved, multidisciplinary knowledge coverage and dynamic adaptation can be realized based on an intelligent knowledge base, modular course design and dynamic interaction are optimized, dialogue type and touch type interaction modes are fused, popularization application of code-free teaching design is supported, and teaching experience is improved. And classroom effect optimization driven by real-time data, enhanced teaching feedback and long-term improvement are facilitated.

The invention relates to an artificial intelligence-based information technology personalized learning system, which can customize a personalized learning path for each student by comprehensively collecting and analyzing learning behaviors, history and interest data of the student and utilizing an advanced machine learning algorithm. The core functions of the system comprise intelligent learning resource recommendation, dynamic learning content difficulty adjustment and providing of an ai teacher assistant and an intelligent question answering system so as to realize real-time tutoring and feedback. In addition, the system also provides an autonomous learning tool to support students to make learning plans, track the progress and perform self-evaluation. The invention aims to improve the learning efficiency and motivation of students in information technology subjects, promote the cultivation of deep learning and autonomous learning ability, and optimize the distribution and use of educational resources. The system not only adapts to individual requirements of students, but also can be expanded and applied to other subjects.

The invention relates to the technical field of ideological and political education, in particular to an ideological and political education interaction system based on social media, which comprises a social media monitoring module, a content analysis and classification module, an interaction mode optimization module and an education content updating module. According to the method, the participation enthusiasm and the core concern of the student are accurately captured by monitoring the online learning community and analyzing the social media data in real time, and the emotional tendency and the related discussion of the student are effectively collected by deeply analyzing the post content, so that the accurate classification of the content and the identification of mainstream and edge viewpoints are realized; the online education platform can adjust an interaction mode and increase simulation discussion according to actual responses of students, teaching is more attractive and targeted, the learning motivation and participation degree of the students are improved by dynamically updating education content and synchronizing social hotspots, the personalized and dynamic teaching process is achieved, and the teaching experience is improved. Therefore, the attraction and interactivity of education are effectively improved.

The invention provides a system for improving learning motivation of students in combination with a VR stereo technology, and relates to the technical field of VR teaching. The system for improving learning motivation of students in combination with a VR stereo technology comprises a computer host, wherein the computer host is connected with an Internet terminal control system through a network; the computer host is connected with a multi-screen display through a video transmission line; the computer host is connected with IO equipment and VR equipment; the VR equipment comprises a VR helmet and a VR control hand lever; the IO equipment comprises a mouse, a keyboard, a loudspeaker and a microphone; and a VR sight glass and a VR earphone are installed in the VR helmet. According to the invention, through arrangement of visual and facial monitoring modules, learning states of students can be accurately known in real time; and the system has a voice control function, a conventional control function and an intelligent VR operation handle control function.

The invention discloses a virtual reality digital interactive teaching system which comprises a computer host, a reality video playing device and an interactive device. The computer host is used for playing a teaching plan, the reality video playing device is in electrical connection with the computer host to show the videos and sounds of the teaching plan displayed by the computer host, the interactive device is in electrical connection with the computer host to provide a certain identifying mark to the videos displayed by the reality video playing device and read the identification mark and the videos displayed by the reality video playing device to the computer host, and therefore the computer host actively judges whether to output following interactive videos and sounds of the video position at the moment to achieve the purpose of interactive teaching in the reality mode, and learning motivation and sense of participation of a student are improved.

The invention discloses an automobile maintenance teaching system combining virtual simulation and an intelligent game. The system comprises a user terminal, a server, a database, a virtual simulation module and an intelligent game module. When a student selects a learning mode, the server receives a learning instruction of the user terminal, calls corresponding learning data from the database, calls the virtual simulation module to generate an automobile maintenance virtual teaching scene, and performs task teaching through the user terminal; when a student selects a game mode, the server receives a game instruction of the user terminal and calls the intelligent game module to generate a corresponding AI opponent, meanwhile, the virtual simulation module is called to generate an automobile maintenance virtual competition scene, competition type teaching is carried out through the user terminal to obtain a single task score, and total points are issued to the student. The virtual simulation technology and the intelligent game are combined, personalized teaching is achieved by enhancing interactivity, the learning enthusiasm and motivation of students are improved, and the learning condition is comprehensively evaluated.

The invention relates to the technical field of intelligent education, in particular to an intelligent education system based on multi-algorithm fusion. The system comprises a processing analysis unit, an extraction construction unit and a personalized planning unit. The thought adaptation module performs knowledge reasoning of various problem solving thoughts according to the constructed thought model data, and then performs matching according to the reasoned problem solving thought data and problem solving behaviors in the behavior model data to obtain a problem solving thought with the highest probability of the problem solving behaviors of the students; different students have different learning styles and ability levels, so that the learning effect and the learning motivation can be improved by recommending the most suitable problem solving thought according to the problem solving behaviors of the students, meanwhile, an easily understood problem solving thought is recommended for the students to select, a simple and easily understood problem solving thought is recommended, the students are helped to understand and think problems, and the learning effect and the learning motivation are improved. The simple problem solving thought can tease the main logic of the problem, and helps students concentrate attention and grasp the problem solving thought better.

The invention discloses an infantile autism rehabilitation training system and method based on a robot technology, and the system comprises an identity verification module, a data analysis module, a content recommendation module, a user selection module, an interactive question and answer module, a robot feedback module, a data storage module, and a system interface module. Interest points of a user are recorded and analyzed, related training content is recommended, an education video is formed, the understanding degree of the user is detected through interaction, the user is guided to answer again or encouratively guide based on robot feedback, user data information is stored, and user experience is improved. The personalized customization function, the interaction performance and the real-time feedback mechanism of the whole system are realized, and the convenience and the universality of the rehabilitation system are improved.

The invention relates to a language learning system used for a cushion and a language learning method thereof. The language learning system comprises the cushion which is made of foaming resin material and is provided with figure images and English words corresponding to the figure images on at least one surface in a printing way and also provided with augmented reality marks corresponding to the figure images and the English words in a printing way; a personal terminal which perceives the augmented reality marks, drives the augmented reality content corresponding to the augmented reality marks, outputs English pronunciation, perceives the pronunciation of the user and provides and performs the content data according to the response of the user; an augmented reality server which retrieves and provides the augmented reality content relevant to the augmented reality marks invited by the personal terminal through a communication network and integrates the content data according to the response of the user so as to provide the content data to the personal terminal; and a manger terminal which is connected with the augmented reality server through the communication network and makes the content data according to the augmented reality marks and the response of the user and is used for user management and monitoring.

The invention relates to the field of digital music scores, in particular to a mixed music score generation and switching method, computer equipment and a storage medium. The method comprises: acquiring an original music score; calling a simplified score of the original music score under the current simplification degree and a corresponding finger score, and presenting the playing fingering of each note and the key position in the finger score based on a visual graph; displaying the finger score, and evaluating the first playing proficiency of the user in the current music score segment; when the first playing proficiency degree reaches a first preset threshold value, switching to display the simplified music score, and evaluating a second playing proficiency degree of the user in the current music score segment; when the second playing proficiency reaches a second preset threshold value, reducing the current simplification degree of the current music score segment, and updating the simplified score and the finger score; and when the simplification degree reaches the minimum simplification level and the second playing proficiency of the user on the simplified music score reaches the second preset threshold value, switching to display the original music score. While the initial learning threshold is reduced, the professional playing ability is gradually cultivated.

The invention relates to the technical field of communication platforms, in particular to a reading and learning progress management and sharing communication system and method. The device is used for generating barcodes / two-dimensional codes of textual contents of books, learning materials, documents and papers; the device is an independent bar code / two-dimensional code generator, is integrated in a generation module in a publishing system, and generates a service or a mobile application online; any device or application with a two-dimensional code scanning function is used for scanning bar codes / two-dimensional codes and recording the reading and learning progress of a user. The reading and learning progress management and sharing communication system and method provided by the invention are perfect in reading progress management, mature in resource sharing and communication platform and capable of supporting multi-scene application, and are suitable for various publishing systems, library management systems, educational institutions, scientific research institutions, enterprises and individual users. And after scanning the two-dimensional code, the user can enter a country-wide or global reading victim group or a research community to share and communicate with each other.

The video training method in the offline environment comprises the steps that after login information of a student end is received, whether the login information meets a preset requirement or not is verified; when the login information meets a preset requirement, creating a session for the student terminal, and distributing a session identifier; different access permissions are distributed to the student side; customizing a learning plan for the student end, and querying a training progress; recommending corresponding training content and answer point information; in a networking state, pre-downloading training content and answer point information to local storage; when detecting that the network is disconnected, automatically switching to an offline mode, and playing the pre-downloaded training content and answer point information; when the training content and the answer point information are played, the answer result and the offline training progress are stored in the ship end; when the network is recovered, synchronously storing the offline training progress and the answering result at the shore end based on the session identifier; and identifying knowledge weak points and learning preferences, and re-customizing a learning plan. The method has the effect of greatly expanding the training time and range.

The present invention relates to the technical field of teaching scene generation, and discloses a generation method and system of interdisciplinary teaching based on virtual-real integration, the system comprising: an image acquisition module for acquiring and processing image information of interdisciplinary teaching courses, and an information acquisition module for extracting interdisciplinary teaching information in images. A personnel acquisition module performs evaluation based on the number of participating users and their learning concentration. A relationship map establishment module generates teaching scenes based on teaching information and subject information, determines the number of roles, and constructs a relationship map between roles and scenes, while determining the content of the roles' lines. A mapping module assigns a suitable role to each participant based on the user's learning concentration, ensures the match between the role and the user, and improves the teaching effect. The present invention uses an interdisciplinary teaching system that integrates virtual and real, accurately matches teaching content with user needs, realizes personalized role allocation and teaching scene construction, thereby improving learners' participation and concentration and optimizing teaching effects.

The invention discloses a personalized learning path planning system based on AI and big data analysis, and the system comprises a cloud server, the cloud server is provided with a planning system, the cloud server is also connected with a knowledge database and a dress-up database, the knowledge database stores learning materials and course content, and the course content is stored in the dress-up database. The planning system generates a personalized learning path according to the demands and levels of students, and the dress-up database stores dress-up accessories for the AI robot to simulate figures. According to the system, learning and personalized dress-up are combined, students are motivated to learn actively through a mechanism of point reward and exchange dress-up, the students learn step by step according to a personalized learning path, and corresponding points can be obtained through knowledge points of each stage for exchange dress-up, so that the learning efficiency is improved. Through the design, the interestingness and attraction of learning are enhanced, the learning motivation and participation degree of students are also improved, and therefore the learning effect is promoted to be improved.