Examining shared monitoring in collaborative learning: A case of a recurrence quantification analysis approach

作者:

Highlights:

• Regulation in collaborative learning is not a static aptitude but a dynamic process.

• Process-oriented methods can help to capture dynamicity of collaborative work.

• MdRQA is a promising method to capture physiological synchrony of collaborators.

• The level of physiological synchrony might be related with regulation of learning.

摘要

•Regulation in collaborative learning is not a static aptitude but a dynamic process.•Process-oriented methods can help to capture dynamicity of collaborative work.•MdRQA is a promising method to capture physiological synchrony of collaborators.•The level of physiological synchrony might be related with regulation of learning.

论文关键词:Collaborative learning,Socially-shared regulation of learning,Physiological data,Multidimensional recurrence quantification analysis

论文评审过程:Received 13 April 2018, Revised 19 February 2019, Accepted 3 March 2019, Available online 5 March 2019, Version of Record 15 August 2019.

论文官网地址:https://doi.org/10.1016/j.chb.2019.03.004