Interactive teaching courseware and video generation method based on artificial intelligence

By generating interactive teaching resources through semantic parsing and multimodal large models, the problems of insufficient data source parsing capabilities and copyright risks in existing technologies are solved, and efficient and visualized personalized teaching resource generation is achieved.

CN121789525APending Publication Date: 2026-04-03XIONGAN HUAQING ZHIYAN TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202511919843.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-18
Publication Date
2026-04-03

AI Technical Summary

Technical Problem

Existing teaching resource generation technologies suffer from limited data source parsing capabilities, poor operability, insufficient visualization effects, and copyright risks, making it difficult to meet the interactive, diagnostic, and iterative needs of smart education platforms.

Method used

An AI-based interactive teaching materials and video generation method is adopted. Key keywords are extracted through semantic parsing, and the content of the attachments is analyzed by a multimodal big data model to generate visualized teaching resources, while ensuring the copyright compliance of the materials.

Benefits of technology

It enables efficient and accurate generation of teaching resources, supports real-time adjustments and personalized teaching, avoids copyright disputes, and improves the operability and visualization of teaching content.

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Abstract

The invention provides an interactive teaching courseware and video generation method based on artificial intelligence. The method comprises the following steps: inputting a course core target, and carrying out semantic analysis to extract key subject terms; intelligently analyzing the attachment, and updating the knowledge base; relevant knowledge points of the course target are retrieved and positioned; searching materials, supplementing and writing into a knowledge base, and updating a material reference list of the course outline; configuring a personalized style, and storing the personalized style as a personalized template; generating a course outline and PPT details; editing and modifying each page of PPT, and rendering and previewing after adjustment is completed; exporting a course package; according to the method, content credibility is ensured through the knowledge base, courseware editing and dynamic demonstration generation are supported, the recognition accuracy of complex content is improved, the copyright risk is avoided, and efficient and personalized generation of teaching resources is achieved.
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