Recommender System to Analyze Student’s Academic Performance
作者：
Highlights：
• The System determines a student’s learning productivity and interest in learning.
• The system generates tips how to boost productivity and interest in learning.
• The system selects 10 most rational recommendations for a particular user.
• The system selects materials taking into account a student’s learning productivity.
• The system selects materials taking into account a student’s interest in learning.
摘要
•The System determines a student’s learning productivity and interest in learning.•The system generates tips how to boost productivity and interest in learning.•The system selects 10 most rational recommendations for a particular user.•The system selects materials taking into account a student’s learning productivity.•The system selects materials taking into account a student’s interest in learning.
论文关键词：Academic performance,Motivational,Educational persistence and social learning theories,Recommender System,Physiological,Psychological and behavioral techniques,Productivity,Qualitative and quantitative methods
论文评审过程：Available online 20 May 2013.
论文官网地址：https://doi.org/10.1016/j.eswa.2013.05.034
