Assessing program-level learning strategies in MOOCs
作者：
Highlights：
• We describe a learning analytics method for the assessment of study strategies in MOOCs.
• The method is based on Latent Class Analysis (LCA) measurement model and enables fine-grained evaluation of study behavior.
• We assessed student study strategies across four-course professional development program.
• We identified four program-level strategies comprising of six weekly study strategies.
• The identified strategies were associated with different level of student engagement and course success.
摘要
•We describe a learning analytics method for the assessment of study strategies in MOOCs.•The method is based on Latent Class Analysis (LCA) measurement model and enables fine-grained evaluation of study behavior.•We assessed student study strategies across four-course professional development program.•We identified four program-level strategies comprising of six weekly study strategies.•The identified strategies were associated with different level of student engagement and course success.
论文关键词：Weekly learning strategy,Program-level learning strategy,Sequence of learning activities,Latent class analysis
论文评审过程：Received 29 January 2020, Revised 8 December 2020, Accepted 20 December 2020, Available online 28 December 2020, Version of Record 2 January 2021.
论文官网地址：https://doi.org/10.1016/j.chb.2020.106674
