Learning path personalization and recommendation methods: A survey of the state-of-the-art
作者：
Highlights：
• Clarifying the key concepts and terms of path personalization methods.
• Detailing recent methods for personalizing paths as well as their pros and cons.
• Describing the main dimensions and parameters for personalizing learning paths.
• Discussing the evaluation methodologies used for path personalization methods.
• Highlighting the most significant challenges for path personalization methods.
摘要
•Clarifying the key concepts and terms of path personalization methods.•Detailing recent methods for personalizing paths as well as their pros and cons.•Describing the main dimensions and parameters for personalizing learning paths.•Discussing the evaluation methodologies used for path personalization methods.•Highlighting the most significant challenges for path personalization methods.
论文关键词：Long term goal oriented recommender systems (LTRS),E-learning recommender,Learning path recommenders,Intelligent tutoring systems,Personalization
论文评审过程：Received 27 March 2020, Revised 21 May 2020, Accepted 23 May 2020, Available online 30 May 2020, Version of Record 12 June 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.113596
