AIGC-based multidisciplinary interactive teaching system

The multidisciplinary interactive teaching system leverages AIGC to generate personalized learning content and diverse formats, overcoming the limitations of traditional teaching by providing comprehensive evaluation and enhanced engagement.

CN119168188APending Publication Date: 2024-12-20NANJING FANGSHU INFORMATION TECH CO LTD
View PDF 0 Cites 1 Cited by

Patent Information

Application Number
CN202410972874.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-07-19
Publication Date
2024-12-20

AI Technical Summary

Technical Problem

The existing classroom teaching model fails to meet the personalized learning needs of different students due to the lack of integration with AIGC technology.

Method used

A multidisciplinary interactive teaching system utilizing AIGC, comprising modules for resource acquisition, data preprocessing, AIGC content generation, teaching design, student feature acquisition, data analysis, personalized recommendation, multimodal learning, and multi-evaluation, along with a learning tablet and teaching terminal, to provide personalized and diverse learning experiences.

Benefits of technology

Enhances personalized learning by generating tailored content, evaluating student progress comprehensively, and increasing engagement through multimodal learning formats, addressing the limitations of traditional teaching methods.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119168188A_ABST
    Figure CN119168188A_ABST
Patent Text Reader

Abstract

The invention relates to the technical field of artificial intelligence, in particular to a multidisciplinary interactive teaching system based on AIGC. Comprising a resource acquisition module, a data preprocessing module, an AIGC content generation module, a teaching design module, a student feature acquisition module, a data analysis module, a processor module, a personalized recommendation module, a multi-modal learning module, a learning tablet, a teaching terminal and a multivariate evaluation module. The data preprocessing module is connected with the resource acquisition module, the AIGC content generation module is connected with the data preprocessing module, the data analysis module is connected with the student feature acquisition module, the processor module is connected with the AIGC content generation module and the data analysis module, and the personalized recommendation module is connected with the processor module. The learning tablet is connected with the personalized recommendation module, and the multi-modal learning module is connected with the learning tablet, so that the technical problem that the teaching mode in the prior art is difficult to realize personalized learning requirements for different students is solved.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence technology, and in particular to a multidisciplinary interactive teaching system based on AIGC. Background Art

[0002] Teaching is an activity in which teachers guide students to learn and master cultural and scientific knowledge and skills in a purposeful, planned and organized manner, promote the improvement of students' quality and make them become people needed by society. Teaching can be divided into many types according to different classification standards, such as knowledge teaching, skill teaching, emotion attitude and value teaching according to content. The basic form of teaching is classroom teaching, which is the main place for teachers and students to impart knowledge and train skills face to face.

[0003] AIGC is content generated by artificial intelligence technology. With the rapid development of artificial intelligence technology, AIGC has gradually penetrated into all aspects of our lives, especially in the field of content creation, showing great potential and value.

[0004] However, the existing classroom teaching model cannot combine AIGC with the teaching system, which makes it difficult for the existing teaching model to meet the personalized learning needs of different students. Summary of the invention

[0005] The purpose of the present invention is to provide a multidisciplinary interactive teaching system based on AIGC, aiming to solve the technical problem that the teaching mode in the prior art is difficult to meet the needs of personalized learning for different students.

[0006] To achieve the above-mentioned purpose, the present invention adopts a multidisciplinary interactive teaching system based on AIGC, including a resource acquisition module, a data preprocessing module, an AIGC content generation module, a teaching design module, a student feature acquisition module, a data analysis module, a processor module, a personalized recommendation module, a multimodal learning module, a learning tablet, a teaching terminal and a multi-evaluation module;

[0007] The data preprocessing module is connected to the resource acquisition module, the AIGC content generation module is connected to the data preprocessing module, the data analysis module is connected to the student feature acquisition module, the processor modules are connected to the AIGC content generation module and the data analysis module, the personalized recommendation module is connected to the processor module, the learning tablet is connected to the personalized recommendation module, the multimodal learning module is connected to the learning tablet, the teaching design module is connected to the AIGC content generation module, the teaching terminals are connected to the processor module and the teaching design module, and the multi-evaluation module is connected to the processor module;

[0008] The resource collection module is used to collect multi-disciplinary teaching resources;

[0009] The teaching terminal is used for teachers to input teaching objectives and teaching contents into the teaching design module;

[0010] The data preprocessing module is used to preprocess the collected teaching resources and transmit them to the AIGC content generation module to generate teaching courseware according to the teaching design module;

[0011] The student feature collection module is used to collect students' learning progress, interest preferences and learning outcomes.

[0012] Among them, the multidisciplinary interactive teaching system based on AIGC also includes an adjustment module, which includes a vertical plate, a motor, a disc, a supporting rod, a force rod, a T-shaped rod, two sliding rods and a mounting plate, the vertical plate has a groove, the T-shaped rod is slidably connected to the groove, the force block is fixedly connected to the T-shaped rod, the force block has a force groove, the motor is installed on the vertical plate, the output end of the motor is fixedly connected to the disc, one end of the supporting rod is fixedly connected to the disc, and the other end of the supporting rod is inserted into the force groove, one end of the two sliding rods are fixedly connected to the mounting plate, the other ends of the two sliding rods are inserted into the groove and are fixedly connected to the T-shaped rod.

[0013] Among them, the multi-evaluation module includes a self-evaluation unit, a classmate evaluation unit, a teacher evaluation unit and an AI evaluation unit, and the self-evaluation unit, the classmate evaluation unit, the teacher evaluation unit and the AI ​​evaluation unit are all connected to the processor module.

[0014] Wherein, the teaching design module includes a course design unit and a lesson plan design module, and both the course design unit and the lesson plan design are connected to the teaching terminal.

[0015] Among them, the multidisciplinary interactive teaching system based on AIGC also includes a facial expression acquisition module, a facial expression analysis module and an emotional feedback module. The facial expression acquisition module is connected to the learning tablet, the facial expression analysis module is connected to the facial expression acquisition module, the emotional feedback module is connected to the facial expression analysis module, and the emotional feedback module is connected to the teacher terminal.

[0016] Among them, the multidisciplinary interactive teaching system based on AIGC also includes a music broadcasting module and a soothing module, and the soothing module and the music broadcasting module are both connected to the emotion feedback module.

[0017] The multidisciplinary interactive teaching system based on AIGC of the present invention, when used specifically, firstly, the resource acquisition module acquires multidisciplinary teaching resources, and transmits them to the AIGC content generation module after cleaning, labeling and other preprocessing by the data preprocessing module. The AIGC content generation module generates teaching courseware by the teacher inputting the information of teaching objectives and teaching contents in the teaching terminal, and the teacher can teach according to this courseware. When the students are self-studying, the student feature acquisition module will acquire the students' learning progress, interest preferences and learning results, and transmit them to the processor module after processing by the data analysis module. The processor module recommends personalized learning content to the students for self-study according to the students' features and teaching courseware. The students study by themselves through the learning tablet. The multi-evaluation module enables the students to evaluate from multiple aspects, so that the students can have a more comprehensive understanding of themselves. The multimodal learning module is used for the students to self-study in the form of video, audio, animation, charts and other teaching contents, so as to improve the teaching diversity and enhance the students' learning interest. In this way, the technical problem that the teaching mode in the prior art is difficult to meet the needs of personalized learning for different students is solved. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 It is a principle block diagram of the first embodiment of the present invention.

[0020] Figure 2 It is a schematic structural diagram of the regulating module of the first embodiment of the present invention.

[0021] Figure 3 The present invention Figure 2 AA line structural cross-section view.

[0022] Figure 4 It is a principle block diagram of the second embodiment of the present invention.

[0023] Figure 5 It is a partial structural diagram of the regulating module of the third embodiment of the present invention.

[0024] 101-resource acquisition module, 102-data preprocessing module, 103-AIGC content generation module, 104-teaching design module, 105-student feature acquisition module, 106-data analysis module, 107-processor module, 108-personalized recommendation module, 109-multimodal learning module, 110-learning tablet, 111-teaching terminal, 112-multi-evaluation module, 113-adjustment module, 114-self-evaluation unit, 115-classmate evaluation unit, 116-teacher evaluation unit, 117-AI evaluation unit, 118- Course design unit, 119-teaching plan design module, 120-vertical board, 121-motor, 122-disc, 123-support rod, 124-force rod, 125-T-shaped rod, 126-sliding rod, 127-mounting plate, 128-groove, 129-support groove, 201-facial expression acquisition module, 202-facial expression analysis module, 203-emotion feedback module, 204-music broadcast module, 205-soothing module, 301-block, 302-spring, 303-insertion rod, 304-pulling member, 305-through hole, 306-slot. DETAILED DESCRIPTION

[0025] Embodiments of the present invention are described in detail below. Examples of the embodiments are shown in the accompanying drawings. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, but should not be construed as limiting the present invention.

[0026] The first embodiment of the present application is:

[0027] See also Figure 1 to Figure 3 ,in Figure 1 is a principle block diagram of the first embodiment of the present invention, Figure 2 is a schematic structural diagram of an adjustment module according to a first embodiment of the present invention, Figure 3 The present invention Figure 2 AA line structural cross-section view.

[0028] The present invention provides a multidisciplinary interactive teaching system based on AIGC, comprising a resource acquisition module 101, a data preprocessing module 102, an AIGC content generation module 103, a teaching design module 104, a student feature acquisition module 105, a data analysis module 106, a processor module 107, a personalized recommendation module 108, a multimodal learning module 109, a learning tablet 110, a teaching terminal 111, a multi-evaluation module 112 and an adjustment module 113, wherein the multi-evaluation module 112 comprises a self-evaluation unit 114, a classmate evaluation unit 115, a teacher evaluation unit 116 and an AI evaluation unit 117, the teaching design module 104 comprises a course design unit 118 and a lesson plan design unit 119, and the adjustment module 113 comprises a vertical plate 120, a motor 121, a disc 122, a supporting rod 123, a force rod 124, a T-shaped rod 125, two sliding rods 126 and a mounting plate 127. The above scheme solves the technical problem that the teaching mode in the prior art is difficult to meet the needs of personalized learning for different students.

[0029] According to this specific implementation, the data preprocessing module 102 is connected to the resource acquisition module 101, the AIGC content generation module 103 is connected to the data preprocessing module 102, the data analysis module 106 is connected to the student feature acquisition module 105, the processor module 107 is connected to the AIGC content generation module 103 and the data analysis module 106, the personalized recommendation module 108 is connected to the processor module 107, the learning tablet 110 is connected to the personalized recommendation module 108, the multimodal learning module 109 is connected to the learning tablet 110, the teaching design module 104 is connected to the AIGC content generation module 103, the teaching terminal 111 is connected to the processor module 107 and the teaching design module 104, and the multi-evaluation module 112 is connected to the processor module 107;

[0030] The resource collection module 101 is used to collect multi-disciplinary teaching resources;

[0031] The teaching terminal 111 is used for teachers to input teaching objectives and teaching contents into the teaching design module 104;

[0032] The data preprocessing module 102 is used to preprocess the collected teaching resources and transmit them to the AIGC content generation module 103 to generate teaching courseware according to the teaching design module 104;

[0033] The student feature acquisition module 105 is used to collect students' learning progress, interest preferences and learning outcomes. When used specifically, the resource acquisition module 101 first collects multi-disciplinary teaching resources, and transmits them to the AIGC content generation module 103 after cleaning, labeling and other pre-processing through the data pre-processing module 102. The AIGC content generation module 103 generates teaching courseware by teachers inputting information about teaching objectives and teaching contents in the teaching terminal 111. Teachers can teach according to this courseware. When students study on their own, the student feature acquisition module 105 will collect students' learning progress, interest preferences and learning outcomes, and After being processed by the analysis module 106, it is transmitted to the processor module 107. The processor module 107 recommends personalized learning content for students to study on their own according to the students' characteristics and teaching courseware. Students study on their own through the learning tablet 110. The multi-evaluation module 112 enables students to be evaluated from multiple aspects, so that students can have a more comprehensive understanding of themselves. The multimodal learning module 109 is used for teaching content in various forms such as video, audio, animation, and charts when students study on their own, so as to enhance teaching diversity and increase students' interest in learning. In this way, the technical problem that the teaching model in the prior art is difficult to meet the needs of personalized learning for different students is solved.

[0034] The vertical plate 120 has a groove 128, the T-shaped rod 125 is slidably connected to the groove 128, the force block is fixedly connected to the T-shaped rod 125, the force block has a force groove, the motor 121 is installed on the vertical plate 120, the output end of the motor 121 is fixedly connected to the disc 122, one end of the supporting rod 123 is fixedly connected to the disc 122, the other end of the supporting rod 123 is inserted into the force groove, one end of the two sliding rods 126 are fixedly connected to the mounting plate 127, the other ends of the two sliding rods 126 are inserted into the groove 128, and are fixed to the T-shaped rod 125 is fixedly connected. When it is used specifically, the mounting plate 127 is used to install the teaching terminal 111. Due to the difference in height of teachers, the motor 121 can be started, and the output end of the motor 121 drives the disc 122 to rotate, and the disc 122 drives the supporting rod 123 to slide in the supporting groove 129. The supporting rod 123 slides in the supporting groove 129 and drives the force block to move at the same time. The force block drives the T-shaped rod 125 to move, and the T-shaped rod 125 drives the two sliding rods 126 to move, thereby driving the mounting plate 127 to move to adjust the height of the teaching terminal 111.

[0035] Secondly, the self-evaluation unit 114, the classmate evaluation unit 115, the teacher evaluation unit 116 and the AI ​​evaluation unit 117 are all connected to the processor module 107. When in specific use, the self-evaluation unit 114, the classmate evaluation unit 115, the teacher evaluation unit 116 and the AI ​​evaluation unit 117 can be used to conduct a more comprehensive evaluation of students, so that students can better understand their own strengths and weaknesses.

[0036] At the same time, the course design unit 118 and the lesson plan design are both connected to the teaching terminal 111, and the course design unit 118 and the lesson plan design can reduce the teacher's labor intensity.

[0037] When using the multidisciplinary interactive teaching system based on AIGC of this embodiment, first, the resource acquisition module 101 acquires multidisciplinary teaching resources, and transmits them to the AIGC content generation module 103 after cleaning, labeling and other pre-processing through the data pre-processing module 102. The AIGC content generation module 103 generates teaching courseware by the teacher inputting the teaching objectives and teaching content information on the teaching terminal 111. The teacher can teach according to this courseware. When the students are self-studying, the student feature acquisition module 105 will collect the students' learning progress, interest preferences and learning results, and according to the data analysis model After processing, block 106 is transmitted to the processor module 107. The processor module 107 recommends personalized learning content for students to study on their own according to the students' characteristics and teaching courseware. Students study on their own through the learning tablet 110. The multi-evaluation module 112 enables students to be evaluated from multiple aspects, so that students can have a more comprehensive understanding of themselves. The multimodal learning module 109 is used for teaching content in various forms such as video, audio, animation, and charts when students study on their own, so as to enhance teaching diversity and improve students' interest in learning. In this way, the technical problem that the teaching model in the prior art is difficult to meet the needs of personalized learning for different students is solved.

[0038] The second embodiment of the present application is:

[0039] Based on the first embodiment, please refer to Figure 4 , Figure 4 It is a principle block diagram of the second embodiment of the present invention.

[0040] The present invention provides a multi-disciplinary interactive teaching system based on AIGC, which also includes a facial expression acquisition module 201, a facial expression analysis module 202, an emotion feedback module 203, a music broadcasting module 204 and a soothing module 205.

[0041] For this specific implementation, the facial expression acquisition module 201 is connected to the learning tablet 110, the facial expression analysis module 202 is connected to the facial expression acquisition module 201, the emotional feedback module 203 is connected to the facial expression analysis module 202, and the emotional feedback module 203 is connected to the teacher terminal. The facial expression acquisition module 201 collects the facial expressions of students, and the facial expression analysis module 202 analyzes the expressions of students to obtain the students' emotions. When the students are depressed, the emotional feedback module 203 feeds back to the teacher terminal, so that the teacher terminal can know in time and provide guidance.

[0042] Among them, the soothing module 205 and the music broadcasting module 204 are both connected to the emotional feedback module 203. When the student is depressed, the music broadcasting module 204 broadcasts a soothing module, and displays a soothing animation on the teaching tablet through the soothing module 205.

[0043] A multidisciplinary interactive teaching system based on AIGC of this embodiment is used, the facial expression acquisition module 201 collects the facial expressions of students, and the facial expression analysis module 202 analyzes the expressions of students to obtain the emotions of students. When students are in low mood, the emotion feedback module 203 feeds back to the teacher terminal, and the teacher terminal is convenient for timely knowing and enlightening. When students are in low mood, the music broadcast module 204 broadcasts a soothing module, and the soothing module 205 displays a soothing animation on the teaching tablet.

[0044] The third embodiment of the present application is:

[0045] Based on the first embodiment, please refer to Figure 5 , Figure 5 It is a partial structural diagram of the regulating module of the third embodiment of the present invention.

[0046] The present invention provides a multi-disciplinary interactive teaching system based on AIGC, which also includes a block 301 , a spring 302 , an insertion rod 303 and a pulling member 304 .

[0047] With respect to this specific embodiment, the vertical plate 120 has a through hole 305, and the disc 122 has a plurality of slots 306. One end of the insertion rod 303 is fixedly connected to the block 301, and the other end of the insertion rod 303 passes through the corresponding through hole 305 and is inserted into the corresponding slot 306. The two ends of the spring 302 are respectively fixedly connected to the block 301 and the vertical plate 120. When it is necessary to adjust the height of the teaching terminal 111, the block 301 is pulled, and the block 301 drives the insertion rod 303 to slide out of the corresponding slot 306 and drives the spring 302 to extend. Then, the motor 121 drives the disc 122 to rotate for adjustment. After the adjustment is completed, the block 301 is released, the spring 302 resets and drives the block 301 to move, and the block 301 drives the insertion rod 303 to be inserted into the corresponding slot 306 to lock the disc 122 and improve stability.

[0048] The pulling member 304 is fixedly connected to the block 301 , and the pulling member 304 can facilitate pulling the block 301 .

[0049] Using a multidisciplinary interactive teaching system based on AIGC of this embodiment, when the height of the teaching terminal 111 needs to be adjusted, the block 301 is pulled, and the block 301 drives the insertion rod 303 to slide out of the corresponding slot 306 and drives the spring 302 to extend. Then the motor 121 drives the disc 122 to rotate for adjustment. After the adjustment is completed, the block 301 is released, the spring 302 resets and drives the block 301 to move, and the block 301 drives the insertion rod 303 to be inserted into the corresponding slot 306 to lock the disc 122 to improve stability.

[0050] What is disclosed above is only a preferred embodiment of the present invention, and it certainly cannot be used to limit the scope of rights of the present invention. Ordinary technicians in this field can understand that all or part of the processes of the above embodiment and equivalent changes made according to the claims of the present invention still fall within the scope of the invention.

Claims

1. A multi-disciplinary interactive teaching system based on AIGC, characterized in that: It includes resource acquisition module, data preprocessing module, AIGC content generation module, teaching design module, student feature acquisition module, data analysis module, processor module, personalized recommendation module, multimodal learning module, learning tablet, teaching terminal and multi-evaluation module; The data preprocessing module is connected to the resource acquisition module, the AIGC content generation module is connected to the data preprocessing module, the data analysis module is connected to the student feature acquisition module, the processor modules are connected to the AIGC content generation module and the data analysis module, the personalized recommendation module is connected to the processor module, the learning tablet is connected to the personalized recommendation module, the multimodal learning module is connected to the learning tablet, the teaching design module is connected to the AIGC content generation module, the teaching terminals are connected to the processor module and the teaching design module, and the multi-evaluation module is connected to the processor module; The resource collection module is used to collect multi-disciplinary teaching resources; The teaching terminal is used for teachers to input teaching objectives and teaching contents into the teaching design module; The data preprocessing module is used to preprocess the collected teaching resources and transmit them to the AIGC content generation module to generate teaching courseware according to the teaching design module; The student feature collection module is used to collect students' learning progress, interest preferences and learning outcomes.

2. The multi-disciplinary interactive teaching system based on AIGC as claimed in claim 1, characterized in that: The AIGC-based multidisciplinary interactive teaching system also includes an adjustment module, which includes a vertical plate, a motor, a disc, a supporting rod, a force rod, a T-shaped rod, two sliding rods and a mounting plate, the vertical plate having a groove, the T-shaped rod being slidably connected to the groove, the force block being fixedly connected to the T-shaped rod, the force block having a force groove, the motor being mounted on the vertical plate, the output end of the motor being fixedly connected to the disc, one end of the supporting rod being fixedly connected to the disc, the other end of the supporting rod being inserted into the force groove, one end of the two sliding rods being fixedly connected to the mounting plate, the other ends of the two sliding rods being inserted into the groove and fixedly connected to the T-shaped rod.

3. The multi-disciplinary interactive teaching system based on AIGC as claimed in claim 2, characterized in that: The multi-evaluation module includes a self-evaluation unit, a classmate evaluation unit, a teacher evaluation unit and an AI evaluation unit, and the self-evaluation unit, the classmate evaluation unit, the teacher evaluation unit and the AI ​​evaluation unit are all connected to the processor module.

4. The multi-disciplinary interactive teaching system based on AIGC as claimed in claim 3, characterized in that: The teaching design module includes a course design unit and a lesson plan design module, and both the course design unit and the lesson plan design are connected to the teaching terminal.

5. The multi-disciplinary interactive teaching system based on AIGC as claimed in claim 4, characterized in that: The AIGC-based multidisciplinary interactive teaching system also includes a facial expression acquisition module, a facial expression analysis module and an emotional feedback module. The facial expression acquisition module is connected to the learning tablet, the facial expression analysis module is connected to the facial expression acquisition module, the emotional feedback module is connected to the facial expression analysis module, and the emotional feedback module is connected to the teacher terminal.

6. The multi-disciplinary interactive teaching system based on AIGC as claimed in claim 5, characterized in that: The AIGC-based multidisciplinary interactive teaching system also includes a music broadcasting module and a soothing module, and both the soothing module and the music broadcasting module are connected to the emotion feedback module.

Citation Information

Cited By

  • Education scene intelligent identification system based on multi-modal perception

    CN120632379A