Intelligent generation method and system for multi-agent driven interdisciplinary project-based teaching design

By using a multi-agent collaborative, interdisciplinary project-based instructional design method, the organic integration of interdisciplinary knowledge and the automated generation of instructional designs are achieved. This solves the problems of fragmented and logically inconsistent generated solutions in existing systems, improves the scientific nature and feasibility of instructional design, and supports the large-scale implementation of interdisciplinary education.

CN122198592APending Publication Date: 2026-06-12EAST CHINA NORMAL UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
EAST CHINA NORMAL UNIV
Filing Date
2026-03-17
Publication Date
2026-06-12

AI Technical Summary

⚠Technical Problem

Existing interdisciplinary project-based instructional design systems lack multi-agent collaborative driving, resulting in fragmented and logically inconsistent generated solutions. This makes it difficult to achieve the organic integration of interdisciplinary knowledge and dynamic adjustment of instructional design, and thus cannot effectively support the implementation of interdisciplinary project-based teaching.

⚗Method used

This approach employs a multi-agent-driven interdisciplinary project-based instructional design method. Through a collaborative workflow involving interdisciplinary thematic reasoning, instructional objective generation, project task decomposition, activity design, and resource matching, and utilizing large language models and knowledge retrieval enhancement technologies, a multi-agent system is constructed to achieve the organic integration of interdisciplinary knowledge and the automated generation of instructional designs.

🎯Benefits of technology

The generation of well-structured, logically consistent, and resource-ready instructional design schemes enhances the scientific rigor and feasibility of interdisciplinary project-based learning, reduces teachers' workload, and supports the large-scale implementation of interdisciplinary education.

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Abstract

The application discloses a kind of multi-agent driven interdisciplinary project teaching design intelligent generation method and system, its characteristics are method includes: agent workflow construction, knowledge pattern, teaching goal, project task chain, activity flow generation, and activity flow matching and checking etc. Step;System is composed of five agents, through multi-agent in turn cooperation and iterative optimization, realize from theme generation, goal setting, task planning, activity design to resource matching Full-process automatic generation, and output the interdisciplinary project teaching design scheme with complete structure.Compared with prior art, the application has the division of labor through specialized agent, solves the problem of logical inconsistency and depth deficiency existing in complex design task, reduces the work burden and professional threshold of teachers in interdisciplinary project teaching design, guarantees the depth and quality of teaching design, and provides key technical tools for promoting the scale and personalized implementation of interdisciplinary project learning.
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