一种自适应学习路径生成系统及其方法
By using an adaptive learning path generation system, learners' subjective and objective professional information is obtained, cognitive representation vectors are constructed, transferable knowledge points and target knowledge points are identified, and personalized learning paths are generated. This solves the problem of the lack of personalized knowledge transfer maps in existing technologies, and improves learning efficiency and cross-disciplinary innovation capabilities.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- 河南格局商学教育科技有限公司
- Filing Date
- 2026-05-09
- Publication Date
- 2026-07-17
AI Technical Summary
The existing knowledge system lacks a personalized knowledge transfer map, which makes it difficult for learners to effectively determine which content is related to their existing experience and cannot be internalized into transferable skills, resulting in learning confusion and identity anxiety.
The adaptive learning path generation system acquires learners' subjective professional information and objective professional system, constructs cognitive representation vectors, calculates correlation, identifies transferable knowledge points and target knowledge points, generates learning paths based on dependencies, and predicts learning plans by combining interest and learning habits.
It enables personalized learning paths, improves learning efficiency, enhances learning confidence, and promotes cross-disciplinary innovation. Through the integration of cross-domain knowledge, it helps learners apply their strengths from their old fields to new scenarios, thus creating unique personal success.
Smart Images
Figure CN122415288A_ABST