Application of ID3 Algorithm in Network Personalized Learning System

摘要：

Aiming at network teaching of high school, personalized learning system model is proposed in this paper. The model includes data source preprocessing, students feature modeling and data mining platform. According to major feature, gender future, personality feature and cognitive feature, this paper proposes a student feature analysis model under network. Based on the model and applying the ID3 classification algorithm, we can make a decision to forecast whether students have the ability to pass test. Besides, it also provides the decision-making supporting for individualized teaching.

关键词： Data mining Personalized learning system students feature model decision tree ID3 classification algorithms

作者: Zhe Liu Hui Li Yan Zhang

作者单位: Computing center Shenyang Normal University Shenyang, China Software College Shenyang Normal University Shenyang, China

会议类型: 国际会议

会议名称: 2010 International Conference on Information Security and Artificial Intelligence(2010年信息安全与人工智能国际会议 ISAI 2010)

会议地点: 成都

会议语种:英文

页码: 1660-1663

在线出版日期: 2010-12-17（万方平台首次上网日期，不代表论文的发表时间）