Detecting conflicts in collaborative learning through the valence change of atomic interactions

作者：

Highlights：

• A technique to detect conflict in Computer-Supported Collaborative Learning.

• Conflicts can be detected automatically from the valence change between messages.

• Several bootstrap aggregating techniques are studied to detect conflicts.

• Results of analyzing Spanish conversations show the viability of the approach.

摘要

•A technique to detect conflict in Computer-Supported Collaborative Learning.•Conflicts can be detected automatically from the valence change between messages.•Several bootstrap aggregating techniques are studied to detect conflicts.•Results of analyzing Spanish conversations show the viability of the approach.

论文关键词：CSCL,Conflicts,Emotions,Sentiment analysis,Bootstrap aggregating

论文评审过程：Received 14 December 2020, Revised 15 April 2021, Accepted 24 May 2021, Available online 5 June 2021, Version of Record 16 June 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115291