Intelligent course management system and method

CN122288943APending Publication Date: 2026-06-26HEBEI QISI EDUCATION TECH CO LTD
View PDF 0 Cites 0 Cited by

Patent Information

Application Number
CN202610430427.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-02
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing course management systems struggle to collect multi-dimensional learning data in real time, fail to accurately identify students' learning status and personalized learning needs, lack dynamic adjustment and personalized adaptation in the delivery of teaching resources, and rely on human experience, resulting in imprecise management of the teaching process.

Method used

By collecting multimodal learning behavior data in real time, a dynamic knowledge graph is constructed, generating knowledge forgetting rate and attention fluctuation index. Combined with cognitive state modeling module and adaptive learning recommendation module, teaching strategies are dynamically optimized to achieve personalized learning recommendations.

Benefits of technology

It achieves accurate matching and dynamic adjustment of learning recommendations, improves the level of intelligence in course management, and solves the problems of lagging learning recommendations and poor adaptability.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122288943A_ABST
    Figure CN122288943A_ABST
Patent Text Reader

Abstract

This invention relates to the field of course management technology, and more particularly to a smart course management system and method, comprising: a data acquisition module for real-time acquisition of multimodal learning behavior data during the learning process; a teaching resource management module for storing and managing multi-source teaching resources and constructing a unified index map of teaching resources; a cognitive state triggering module for generating cognitive state modeling instructions; a cognitive state modeling module for constructing a dynamic knowledge graph and sending recommendation update instructions; an adaptive learning recommendation module for generating candidate knowledge point sequences based on the dynamic knowledge graph, filtering and matching resource types to generate recommendation results; and a negative feedback adaptive module for calculating the deviation rate between actual and expected learning gains, determining the source of deviation, and generating adjustment instructions. This invention improves the accuracy and adaptability of learning recommendations, and enhances course management efficiency and learning effectiveness.
Need to check novelty before this filing date? Find Prior Art