基于数据挖掘的高职院校自适应学习系统研究

Research on the Adaptive Learning System of Higher Vocational Colleges Based on Data Mining

本文研究基于大数据分析的高职院校自适应学习系统,提出学生行为语义关联模型,并研究基于协同过滤的学习推荐算法,最后构建自适应学习系统架构。研究可对高职学生的学习进行有效地指导和干预。

This paper studies adaptive learning system based on big data analysis. Student behavior semantic association model is proposed firstly, and then the recommendation algorithm based on collaborative filtering is given, finally, an adaptive learning system architecture is constructed. The research can guide and interfere in the learning of higher vocational students effectively.