Assessing learners’ satisfaction in collaborative online courses through a big data approach

作者：

Highlights：

• Real-time monitoring of LS is crucial for CL processes.

• Real time monitoring of LS may support course delivery and reduce early drop-outs.

• Learning Analytics provide valuable insights about the level of LS.

• Big Data may support learning managers to enhance decision making processes.

摘要

•Real-time monitoring of LS is crucial for CL processes.•Real time monitoring of LS may support course delivery and reduce early drop-outs.•Learning Analytics provide valuable insights about the level of LS.•Big Data may support learning managers to enhance decision making processes.

论文关键词：Big data,Clustering,Collaborative learning,Learning analytics,Learning satisfaction,Sentiment analysis

论文评审过程：Available online 18 April 2018, Version of Record 18 January 2019.

论文官网地址：https://doi.org/10.1016/j.chb.2018.04.033