Identifying patterns of epistemic emotions with respect to interactions in massive online open courses using deep learning and social network analysis
作者：
Highlights：
• Patterns of epistemic emotions with respect to interactions are investigated.
• Four patterns of core, neighbor, scattered, and peripheral learners are identified.
• Four patterns tended to expand relationships by votes and construct deep communication by comment and reply interactions.
• The core and neighbor learners' patterns demonstrated significantly higher epistemic emotions than the other patterns.
• A framework is proposed to describe respective roles of epistemic emotions and interactions.
摘要
•Patterns of epistemic emotions with respect to interactions are investigated.•Four patterns of core, neighbor, scattered, and peripheral learners are identified.•Four patterns tended to expand relationships by votes and construct deep communication by comment and reply interactions.•The core and neighbor learners' patterns demonstrated significantly higher epistemic emotions than the other patterns.•A framework is proposed to describe respective roles of epistemic emotions and interactions.
论文关键词：Epistemic emotions,Interactions,Deep learning,Social network analysis,MOOCs
论文评审过程：Received 17 November 2020, Revised 20 April 2021, Accepted 21 April 2021, Available online 27 April 2021, Version of Record 4 May 2021.
论文官网地址：https://doi.org/10.1016/j.chb.2021.106843
