Knowledge discovery for course choice decision in Massive Open Online Courses using machine learning approaches

作者：

Highlights：

• A multi-criteria collaborative recommender system is proposed for MOOCs.

• Text mining and fuzzy logic approaches are used for method development.

• Data collection is performed in Udemy.com.

• Numerical And textual data are analyzed for method evaluation.

• The method is effective for MOOCs websites for course recommendations.

摘要

•A multi-criteria collaborative recommender system is proposed for MOOCs.•Text mining and fuzzy logic approaches are used for method development.•Data collection is performed in Udemy.com.•Numerical And textual data are analyzed for method evaluation.•The method is effective for MOOCs websites for course recommendations.

论文关键词：Educational data mining,Multi-criteria collaborative filtering,Knowledge discovery,Text mining,Course choice decision,User’ preferences

论文评审过程：Received 23 September 2020, Revised 8 January 2022, Accepted 28 March 2022, Available online 4 April 2022, Version of Record 13 April 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117092