Multi-agent-based ideological and political practical teaching auxiliary system and method

Abstract

The invention relates to the technical field of education and teaching, and discloses a multi-agent-based ideological and political practice teaching auxiliary system and method, and the system comprises a teacher agent which is used for making and adjusting a teaching plan according to a teaching outline and the learning conditions of students, and interacts with student agents to provide guidance and feedback; the student intelligent agent is used for recording learning information of students and requesting help or adjusting strategies from the teacher intelligent agent; the teaching resource intelligent agent is used for managing ideological and political teaching resources and retrieving and pushing the resources according to teaching requirements; and the evaluation agent is used for determining an evaluation standard according to the course standard and the teaching plan index, collecting learning data of the student agent and information in the teaching process, and evaluating the teaching effect. According to the invention, the teaching scheme customization, interactive teaching scene construction and teaching effect evaluation are realized by constructing a plurality of intelligent agents and simulating roles of teachers, students, teaching resource managers and the like, so that the quality and efficiency of ideological and political teaching are improved.

Description

Technical Field

[0001] The present invention relates to the field of education and teaching technology, and in particular to a multi-agent-based ideological and political practice teaching auxiliary system and method. Background Art

[0002] Ideological and political education plays a vital role in cultivating students' correct values, world outlook and outlook on life. However, the traditional ideological and political teaching model often falls into difficulties, mainly manifested in the single teaching method, the lack of teaching design for individual differences, and the difficulty in effectively stimulating students' enthusiasm for independent learning. These problems limit the depth and breadth of ideological and political education, making it difficult to fully meet the diverse learning needs of students.

[0003] With the rapid development of information technology, intelligent teaching systems have gradually emerged, bringing new opportunities for education reform. However, the existing ideological and political teaching system still has shortcomings in intelligent application, especially the failure to fully utilize multi-agent technology to simulate complex teaching scenarios. Multi-agent technology can simulate the interaction and collaborative work between different roles. This feature is of great significance in coping with the complexity and diversity of ideological and political teaching.

[0004] However, the current ideological and political teaching system has not yet fully explored the potential of this technology, thus limiting the further improvement of teaching effectiveness. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention proposes a multi-agent-based ideological and political practice teaching auxiliary system and method to solve the above-mentioned technical problems.

[0006] First, a multi-agent-based ideological and political practice teaching auxiliary system is provided, including:

[0007] The teacher agent is used to formulate and dynamically adjust the teaching plan according to the syllabus and students' learning situation, design teaching content, and interact with the student agent to provide guidance and feedback;

[0008] The student agent is used to record students’ learning information and request help or adjust learning strategies from the teacher agent;

[0009] Teaching resource agent, which is used to manage resources related to ideological and political teaching, including text materials, videos and cases, and quickly retrieve and push resources according to teaching needs;

[0010] The evaluation agent is used to determine the evaluation criteria based on the curriculum standards and teaching plan indicators, collect the learning data of the student agents and the information of the teaching process, and conduct a comprehensive evaluation of the teaching effect.

[0011] Furthermore, the teacher agent includes:

[0012] Teaching plan making module, used to make initial teaching plan according to the syllabus;

[0013] Dynamic adjustment module, used to dynamically adjust the difficulty of teaching content and teaching progress according to students' learning progress and mastery level;

[0014] The interactive guidance module is used to interact with the student agent through online chat and forum reply to provide learning guidance and feedback.

[0015] Furthermore, the student agent includes:

[0016] Learning record module, used to record students' learning behavior, learning preferences and learning outcomes;

[0017] The early warning module is used to automatically send early warnings to the teacher agent when the student fails to advance the project within the specified time;

[0018] The learning strategy adjustment module is used to request help from the teacher agent or autonomously adjust the learning strategy according to the student's own learning status.

[0019] Furthermore, the teaching resource agent includes:

[0020] Resource management module, used to classify and organize massive ideological and political teaching cases;

[0021] Resource retrieval and push module, used to quickly retrieve and push case resources according to teaching needs;

[0022] The practical teaching plan generation module is used to automatically generate practical teaching alternative plans based on the historical retrieval records of the teacher agent and the professional characteristics information of the students.

[0023] Furthermore, the evaluation agent includes:

[0024] Evaluation criteria determination module, used to determine evaluation criteria based on curriculum standards and teaching plan indicators;

[0025] The data collection module is used to collect the learning data of the student agent and the information of the teaching process;

[0026] The teaching effectiveness evaluation module is used to conduct a comprehensive evaluation of the teaching effectiveness and provide feedback on the evaluation results.

[0027] In the second aspect, a multi-agent-based ideological and political practice teaching auxiliary method is provided, based on any one of the multi-agent-based ideological and political practice teaching auxiliary systems described in the foregoing, comprising the following steps:

[0028] Step S01: Create a teacher agent, a student agent, a teaching resource agent, and an evaluation agent, and initialize the parameters and database of each agent;

[0029] Step S02: the teaching resource agent selects and organizes teaching resources according to the teaching syllabus and the requirements of the teacher agent;

[0030] Step S03: The teacher agent carries out teaching activities according to the teaching plan and imparts ideological and political knowledge to the student agents in various ways;

[0031] Step S04: The student agent receives the teaching content, records the learning behavior, and interacts with the teacher agent and the teaching resource agent;

[0032] Step S05: The evaluation agent regularly collects the learning data of the student agent and the information of the teaching process, evaluates the teaching effect, and adjusts the teaching strategy and resource allocation according to the evaluation results.

[0033] Furthermore, in step S03, the teaching activities include online live teaching, pushing learning materials and out-of-town practical research.

[0034] Furthermore, in step S04, the student interaction and learning includes students clicking on case resources provided by the teaching resource agent at any time for learning reference, and asking questions to the teacher agent when encountering problems.

[0035] Furthermore, in step S05, the evaluation result feedback includes providing a teaching effectiveness evaluation report to the teacher agent, and providing resource allocation optimization suggestions to the teaching resource agent.

[0036] The invention adopting the above technical solution has the following advantages:

[0037] The present invention constructs multiple intelligent agents to simulate roles such as teachers, students, and teaching resource managers, thereby realizing personalized teaching program customization, interactive teaching scene construction, and accurate evaluation of teaching effects, thereby improving the quality and efficiency of ideological and political teaching and stimulating students' enthusiasm and initiative in learning. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the specific implementation of the present invention, the following will briefly introduce the drawings required for use in the specific implementation. In all the drawings, each element or part is not necessarily drawn according to the actual scale.

[0039] Figure 1 The process of the ideological and political practice teaching auxiliary system based on multi-agent in the present invention is as follows Figure 1 ;

[0040] Figure 2This is a flow chart of a multi-agent-based ideological and political practice teaching auxiliary method of the present invention;

[0041] Figure 3 The process of the ideological and political practice teaching auxiliary system based on multi-agent in the present invention is as follows Figure 2 . DETAILED DESCRIPTION

[0042] The following embodiments of the technical solution of the present invention are described in detail in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and are therefore only used as examples, and cannot be used to limit the protection scope of the present invention.

[0043] It should be noted that, unless otherwise specified, the technical terms or scientific terms used in this application should be the common meanings understood by technicians in the field to which the present invention belongs. The terms "first", "second", etc. in the specification and claims of the embodiments of the present disclosure and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so as to implement the embodiments of the present disclosure described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions. Unless otherwise specified, the term "multiple" means two or more. In the embodiments of the present disclosure, the character " / " indicates that the objects before and after are in an "or" relationship. For example, A / B means: A or B. The term "and / or" is a description of the association relationship of objects, indicating that there can be three relationships. For example, A and / or B means: A or B, or, A and B. The term "corresponding" can refer to an association relationship or a binding relationship, and A and B correspondingly refer to an association relationship or a binding relationship between A and B.

[0044] like Figure 1 to Figure 3 As shown, a multi-agent-based ideological and political practice teaching auxiliary system of the present invention includes:

[0045] The teacher agent is used to formulate and dynamically adjust the teaching plan according to the syllabus and students' learning situation, design teaching content, and interact with the student agent to provide guidance and feedback;

[0046] The student agent is used to record students’ learning information and request help or adjust learning strategies from the teacher agent;

[0047] Teaching resource agent, which is used to manage resources related to ideological and political teaching, including text materials, videos and cases, and quickly retrieve and push resources according to teaching needs;

[0048] The evaluation agent is used to determine the evaluation criteria based on the curriculum standards and teaching plan indicators, collect the learning data of the student agents and the information of the teaching process, and conduct a comprehensive evaluation of the teaching effect.

[0049] Specifically, by constructing multiple intelligent agents and simulating roles such as teachers, students, and teaching resource managers, we can achieve personalized teaching plan customization, interactive teaching scenario construction, and accurate evaluation of teaching effectiveness, thereby improving the quality and efficiency of ideological and political teaching and stimulating students' enthusiasm and initiative in learning.

[0050] In some embodiments, the teacher agent includes:

[0051] Teaching plan making module, used to make initial teaching plan according to the syllabus;

[0052] Dynamic adjustment module, used to dynamically adjust the difficulty of teaching content and teaching progress according to students' learning progress and mastery level;

[0053] The interactive guidance module is used to interact with the student agent through online chat and forum reply to provide learning guidance and feedback.

[0054] Specifically, the "teacher agent" needs to anticipate possible situations based on each practical step and provide timely guidance and evaluation during the implementation of the actual project.

[0055] Instant affirmation when the standards are met, instant warning when the standards are not met, and analysis of the reasons and countermeasures for students’ failure to complete the preset steps all require routine presets to be made through the “teacher intelligent body”, and it is also necessary to fully read the data and reserve a database to respond to students’ personalized learning needs or questions, so as to provide immediate guidance to students.

[0056] At the same time, it is also necessary to set up a "special manual channel" during normal working hours so that students can directly communicate with teachers in case of emergency or teachers can provide offline personal guidance, so as to achieve the coordination and unification of "students' real needs" and "teachers' efficient supply", reduce the time cost of communication and reduce energy waste.

[0057] At the same time, it can analyze students' knowledge mastery, learning progress and other data, dynamically adjust the difficulty of teaching content and teaching progress, interact with student agents, answer students' questions, and provide learning guidance and feedback. For example, it can respond to students' questions in a timely manner through online chats and forum replies.

[0058] In some embodiments, the student agent includes:

[0059] Learning record module, used to record students' learning behavior, learning preferences and learning outcomes;

[0060] The early warning module is used to automatically send early warnings to the teacher agent when the student fails to advance the project within the specified time;

[0061] The learning strategy adjustment module is used to request help from the teacher agent or autonomously adjust the learning strategy according to the student's own learning status.

[0062] Specifically, starting from accepting the actual task instructions issued by the teacher, recording the frequency of students' attention to this task (series of tasks) - aiming to observe students' "learning attitude", students' progress in linking the "resource community" to advance this task (series of tasks) - aiming to observe students' observation of "information integration and organizational ability" and the process of completing the task - observing "execution ability", as well as the problems, solutions and results that arise in the process - aiming to observe students' "ability to adapt".

[0063] At the same time, an "early warning reminder" is set. Once the student receives the instruction of the practical task, but has not generated a record of advancing the project by half of the actual deadline of the practical project, the system will automatically trigger the "early warning reminder" and push it to the "teacher intelligent body" simultaneously.

[0064] Record the student's learning time, answer accuracy and other data for different knowledge points during the learning process. Request help from the teacher agent or adjust learning strategies based on their own learning status. For example, when a student repeatedly makes mistakes on a certain knowledge point, it automatically sends a learning difficulty warning to the teacher agent.

[0065] In some embodiments, the teaching resource agent includes:

[0066] Resource management module, used to classify and organize massive ideological and political teaching cases;

[0067] Resource retrieval and push module, used to quickly retrieve and push case resources according to teaching needs;

[0068] The practical teaching plan generation module is used to automatically generate practical teaching alternative plans based on the historical retrieval records of the teacher agent and the professional characteristics information of the students.

[0069] Specifically, based on the historical search records of the "teacher intelligent body", students' professional characteristics, existing curriculum standards, teaching plans and other textual materials, as well as specific time nodes, major festivals (anniversaries, etc.), corresponding practical teaching resources or venues are pushed, and "actual teaching alternative plans" are automatically generated for teachers to choose from.

[0070] Once the plan is selected by the teacher, the teacher will enter the "Professor Intelligent Agent" interface and the "Student Intelligent Agent" interface simultaneously by clicking the "Confirm" button. After that, the teacher can appropriately adjust and modify the "Practical Teaching Plan" and publish it. After receiving the "Practical Teaching Task", the students can quickly retrieve the various information and resources required for the task through the "Resource Intelligent Agent".

[0071] This "resource intelligence body" aims to help teachers select highly appropriate solutions, help students efficiently link resources and gain in-depth understanding, avoid ineffective work of teachers and students, thereby improving labor efficiency and achieving high-quality development of ideological and political theory practice courses.

[0072] Work collaboratively with teacher agents and student agents to provide corresponding resource support based on teaching progress and student needs.

[0073] For example, when a teacher is explaining a theoretical knowledge point, relevant case videos are automatically pushed to assist teaching.

[0074] In some embodiments, evaluating an agent includes:

[0075] Evaluation criteria determination module, used to determine evaluation criteria based on curriculum standards and teaching plan indicators;

[0076] The data collection module is used to collect the learning data of the student agent and the information of the teaching process;

[0077] The teaching effectiveness evaluation module is used to conduct a comprehensive evaluation of the teaching effectiveness and provide feedback on the evaluation results.

[0078] Specifically, by evaluating the frequency of students' attention to practical tasks - aiming to observe students' "learning attitude", the progress of students' connection to the "resource community" to promote this task (series of tasks) - aiming to observe students' "information integration and organizational ability", the process of completing tasks - observing "execution ability", as well as problems encountered in the process, solutions, and results formed - aiming to observe students' "adaptability", by recording students' learning time for different knowledge points, answer accuracy and other data during the learning process.

[0079] Provide evaluation result feedback to the teacher agent so that the teacher agent can optimize teaching strategies. At the same time, set up "early warning reminders". Once students receive instructions for practical tasks and have not generated records of the project by half of the practical deadline, the system will automatically trigger the "early warning reminder" and push it to the "teacher agent" simultaneously, so that the teacher can provide real-time guidance.

[0080] In some other embodiments, a multi-agent-based ideological and political practice teaching auxiliary method is provided, and a multi-agent-based ideological and political practice teaching auxiliary system based on any of the above items includes the following steps:

[0081] Step S01: Create a teacher agent, a student agent, a teaching resource agent, and an evaluation agent, and initialize the parameters and database of each agent;

[0082] Step S02: the teaching resource agent selects and organizes teaching resources according to the teaching syllabus and the requirements of the teacher agent;

[0083] Step S03: The teacher agent carries out teaching activities according to the teaching plan and imparts ideological and political knowledge to the student agents in various ways;

[0084] Step S04: The student agent receives the teaching content, records the learning behavior, and interacts with the teacher agent and the teaching resource agent;

[0085] Step S05: The evaluation agent regularly collects the learning data of the student agent and the information of the teaching process, evaluates the teaching effect, and adjusts the teaching strategy and resource allocation according to the evaluation results.

[0086] Specifically, the system is initialized: for example, the teaching syllabus and initial teaching plan are imported for the teacher agent, and an empty learning record file is created for the student agent.

[0087] Preparation of teaching resources: Collect and organize the latest ideological and political current affairs news videos as teaching case resources.

[0088] In some embodiments, in step S03, the teaching activities include online live teaching, pushing learning materials and out-of-town practical research.

[0089] In some embodiments, in step S04, student interaction and learning includes students clicking on case resources provided by the teaching resource agent at any time for learning reference, and asking questions to the teacher agent when encountering problems.

[0090] In some embodiments, in step S05, the evaluation result feedback includes providing a teaching effectiveness evaluation report to the teacher agent, and providing resource configuration optimization suggestions to the teaching resource agent.

[0091] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and specification of the present invention.

Claims

1. A multi-agent-based ideological and political practice teaching auxiliary system, characterized by: include: The teacher agent is used to formulate and dynamically adjust the teaching plan according to the syllabus and students' learning situation, design teaching content, and interact with the student agent to provide guidance and feedback; The student agent is used to record students’ learning information and request help or adjust learning strategies from the teacher agent; Teaching resource agent, which is used to manage resources related to ideological and political teaching, including text materials, videos and cases, and quickly retrieve and push resources according to teaching needs; The evaluation agent is used to determine the evaluation criteria based on the curriculum standards and teaching plan indicators, collect the learning data of the student agents and the information of the teaching process, and conduct a comprehensive evaluation of the teaching effect.

2. The system according to claim 1, characterized in that The teacher agent comprises: Teaching plan making module, used to make initial teaching plan according to the syllabus; Dynamic adjustment module, used to dynamically adjust the difficulty of teaching content and teaching progress according to students' learning progress and mastery level; The interactive guidance module is used to interact with the student agent through online chat and forum reply to provide learning guidance and feedback.

3. The system according to claim 2, characterized in that The student agent includes: Learning record module, used to record students' learning behavior, learning preferences and learning outcomes; The early warning module is used to automatically send early warnings to the teacher agent when the student fails to advance the project within the specified time; The learning strategy adjustment module is used to request help from the teacher agent or autonomously adjust the learning strategy according to the student's own learning status.

4. The system according to claim 3, characterized in that The teaching resource agent comprises: Resource management module, used to classify and organize massive ideological and political teaching cases; Resource retrieval and push module, used to quickly retrieve and push case resources according to teaching needs; The practical teaching plan generation module is used to automatically generate practical teaching alternative plans based on the historical retrieval records of the teacher agent and the professional characteristics information of the students.

5. The system according to claim 4, characterized in that The evaluation agent comprises: Evaluation criteria determination module, used to determine evaluation criteria based on curriculum standards and teaching plan indicators; The data collection module is used to collect the learning data of the student agent and the information of the teaching process; The teaching effectiveness evaluation module is used to conduct a comprehensive evaluation of the teaching effectiveness and provide feedback on the evaluation results.

6. A multi-agent-based ideological and political practice teaching auxiliary method, based on a multi-agent-based ideological and political practice teaching auxiliary system according to any one of claims 1 to 5, characterized in that: The following steps are involved: Step S01: Create a teacher agent, a student agent, a teaching resource agent, and an evaluation agent, and initialize the parameters and database of each agent; Step S02: the teaching resource agent selects and organizes teaching resources according to the teaching syllabus and the requirements of the teacher agent; Step S03: The teacher agent carries out teaching activities according to the teaching plan and imparts ideological and political knowledge to the student agents in various ways; Step S04: The student agent receives the teaching content, records the learning behavior, and interacts with the teacher agent and the teaching resource agent; Step S05: The evaluation agent regularly collects the learning data of the student agent and the information of the teaching process, evaluates the teaching effect, and adjusts the teaching strategy and resource allocation according to the evaluation results.

7. The method according to claim 6, characterized in that In step S03, the teaching activities include online live teaching, pushing learning materials and out-of-town practical research.

8. The method according to claim 6, characterized in that In step S04, the student interaction and learning includes students clicking on the case resources provided by the teaching resource agent at any time for learning reference, and asking questions to the teacher agent when encountering problems.

9. The method according to claim 6, characterized in that In step S05, the evaluation result feedback includes providing a teaching effectiveness evaluation report to the teacher agent and providing resource configuration optimization suggestions to the teaching resource agent.

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