Intelligent teaching evaluation and diagnosis system and method based on multi-mode audio and video analysis
By acquiring multimodal audio and video data and analyzing it using MTES technology, the problems of modal fragmentation and fixed-segment interference in teaching evaluation were solved. This enabled dynamic segmentation and accurate diagnosis of teaching events, improving the accuracy of teaching evaluation and the completeness of segmented segments.
Patent Information
- Application Number
- CN202511517111.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-23
- Publication Date
- 2025-11-21
- Estimated Expiration
- 2045-10-23
AI Technical Summary
Existing teaching evaluation technologies process video, audio, and screen content independently, failing to capture cross-modal correlation phenomena, and the fixed-time slicing method leads to interference between teaching evaluation and diagnostic results.
By deploying camera arrays, directional microphone groups, and screen capture devices, time-stamp-aligned video streams of teacher and student behavior, audio streams, and teaching screen content streams are collected simultaneously to construct multimodal audio and video data. Combined with MTES technology, teaching status features are extracted and time-series model analysis is performed to achieve dynamic segmentation and diagnostic assessment.
It effectively solves the problem of cross-modal spatiotemporal mismatch, improves the accuracy and precision of teaching evaluation, and ensures the integrity of segmented segments and the reliability of diagnostic reports.