A recommendation system for effective learning strategies: An integrated approach using context-dependent DEA

作者：

Highlights：

• A hybrid model to recommend personalized learning strategies is proposed.

• Clustering algorithm is performed to extract students’ ontological features.

• Context-dependent DEA method are improved through learning efficiency.

• Learning path for low efficiency students is generated based on multiple measures.

摘要

•A hybrid model to recommend personalized learning strategies is proposed.•Clustering algorithm is performed to extract students’ ontological features.•Context-dependent DEA method are improved through learning efficiency.•Learning path for low efficiency students is generated based on multiple measures.

论文关键词：Recommendation system,Learning strategies,Context-dependent DEA,Efficiency analysis

论文评审过程：Received 19 February 2021, Revised 27 December 2021, Accepted 11 August 2022, Available online 22 August 2022, Version of Record 31 August 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118535