基于数据挖掘的个性化选课模式创新研究

Study on the Mode Innovation of Personalized Course Selection Based on Data Mining

分析了目前我国高等院校选课制度的现状和存在的不足,提出在选课中引入"淘宝式"选课模式,并采用数据挖掘技术中的个性化推荐和关联规则推荐,将学生感兴趣的课程推荐给他们选择,更好地体现人性化教学理念。

This paper analyzed the present situation of elective system of higher education institutions in China and the existing problems, proposed the introduction of＂Taobao type＂course se-lection mode into course selection, and used the personalized recommendation and association rules recommendation in data mining technology, so as to recommend courses in accordance with students＇ interest, and better reflect the humanized teaching concept.