Interactive teaching evaluation auxiliary system and device based on multi-modal fusion

Through the interactive teaching evaluation assistance system with multimodal fusion, a user training action portrait library is built and personalized guidance plans are generated. Non-standard actions are evaluated and fed back in real time, which solves the problems of one-sided action evaluation and lack of precision in guidance in traditional teaching models, and realizes the scientific nature and effectiveness of personalized teaching.

CN120807242AActive Publication Date: 2025-10-17MAILEFENG (XIAMEN) E-COMMERCE CO LTD
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Patent Information

Application Number
CN202511249695.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-09-03
Publication Date
2025-10-17
Estimated Expiration
2045-09-03

AI Technical Summary

Technical Problem

The traditional physical education classroom teaching model makes it difficult to quantify, record and systematically analyze students' movement standardization and training intensity. Personalized teaching goals are difficult to achieve. There is a lack of an evaluation system for multimodal data fusion and a personalized program matching mechanism, resulting in a one-sided portrayal of athletic ability and a lack of precise basis for guidance.

Method used

Through the interactive teaching evaluation auxiliary system with multimodal fusion, the portrait module is used to build a user training action portrait library, and the multimodal feature extraction and knowledge graph algorithm are combined to generate personalized guidance plans. The auxiliary adjustment module collects action information in real time, and the spatiotemporal feature extraction model is used to evaluate the action sequence. The traceability feedback module feeds back the spatiotemporal change chain of non-standard actions to achieve accurate evaluation and dynamic adjustment.

Benefits of technology

It achieves accurate evaluation of multimodal data and matching with personalized solutions, improves the scientific nature and interactivity of teaching evaluation, ensures that movements continue to meet standards, shortens the movement correction cycle, and enhances the scientific nature and effectiveness of training.

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Abstract

The invention belongs to the field of evaluation assistance, and particularly relates to an interactive teaching evaluation assistance system and device based on multi-modal fusion, and the system collects multi-dimensional information through a portrait module, and constructs a user training action portrait library in combination with multi-modal feature extraction and a knowledge graph algorithm; the strategy recommendation module generates an optimal guidance scheme through a correction scheme matching model according to the portrait library, the real-time information and the teaching guidance strategy library; the auxiliary adjustment module collects training action images in real time, and obtains a guided continuous correction action sequence and a standard score by using a spatial-temporal feature extraction model and an evaluation algorithm; the traceability feedback module is combined with the action standard knowledge base to obtain transverse and longitudinal spatial-temporal change chains of non-standard actions through a forward reasoning model, and feeds back the transverse and longitudinal spatial-temporal change chains to the instructor to adjust the scheme in real time until the actions reach the standard; according to the method, accurate evaluation and personalized scheme matching of multi-modal data fusion are realized, and scientificity and interactivity of evaluation assistance are effectively improved.
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