A multi-dimensional evaluation method and system for VR teaching based on user behavior feedback
By constructing a multimodal perception system and using AI models to identify behavioral patterns and dynamically adjusting evaluation criteria, the limitations of traditional VR teaching evaluation have been overcome. This has enabled multi-dimensional quantitative and adaptive teaching, thereby improving learning motivation and teaching effectiveness.
Patent Information
- Application Number
- CN202610363981.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-03-24
- Publication Date
- 2026-06-23
AI Technical Summary
Traditional VR teaching evaluation methods cannot capture the dynamic behavioral details in the learning process, lack multi-dimensional evaluation aligned with educational theory, resulting in evaluation results that are inexplicable and incomparable, making it difficult to support teaching improvement. Furthermore, they fail to distinguish the behavioral characteristics of different learners, lack attention to the learning growth trajectory, and are prone to dampening learning motivation.
We adopt a multi-dimensional evaluation method based on user behavior feedback. By constructing a multimodal perception and context-aware system, and combining Transformer and DINA models, we identify typical behavior patterns, build a multi-granularity fusion evaluation model, dynamically adjust evaluation criteria, generate personalized feedback in real time, and support adaptive teaching.
It enables multi-dimensional quantification of learning outcomes, reduces subjective judgment bias, dynamically adjusts evaluation standards, motivates learners to make continuous progress, improves the timeliness and pertinence of teaching interventions, and supports interdisciplinary transfer and application.
Smart Images
Figure CN122264614A_ABST