Mining theory-based patterns from Big data: Identifying self-regulated learning strategies in Massive Open Online Courses
作者：
Highlights：
• Self-regulated learning (SRL) is critical for learners in MOOCs to succeed.
• We integrate mining of behavioural patterns with self-reported instruments.
• Six distinct learner interaction sequences with course content were identified.
• Interaction sequences were related to SRL strategies described in the literature.
摘要
•Self-regulated learning (SRL) is critical for learners in MOOCs to succeed.•We integrate mining of behavioural patterns with self-reported instruments.•Six distinct learner interaction sequences with course content were identified.•Interaction sequences were related to SRL strategies described in the literature.
论文关键词：Self-regulated learning,Learning strategies,Process mining,Massive open online courses
论文评审过程：Received 28 March 2017, Revised 9 November 2017, Accepted 10 November 2017, Available online 13 November 2017, Version of Record 20 November 2017.
论文官网地址：https://doi.org/10.1016/j.chb.2017.11.011
