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What is the state of the art in self-, co- and socially shared regulation in CSCL?
- Source :
- Computers in Human Behavior. 52:628-631
- Publication Year :
- 2015
- Publisher :
- Elsevier BV, 2015.
-
Abstract
- Articles in this special issue on regulation of learning in computer-supported collaborative learning apply tools across the spectrum of qualitative and quantitative methods to investigate self-, co- and socially shared regulation of learning. As well, a careful consideration of each of these constructs is provided. I briefly review these contributions to identify unique and forward-looking approaches to research in this vibrant area of research. A particular opportunity is recommended for future research regarding the use of process mining, sequence mining, social network analysis and an as-yet to be invented amalgam of these methods in constructing intelligent software agents that could guide participants in CSCL to assemble an optimum mix of self-, co- and socially shared regulation of learning.
Details
- ISSN :
- 07475632
- Volume :
- 52
- Database :
- OpenAIRE
- Journal :
- Computers in Human Behavior
- Accession number :
- edsair.doi...........d3878746d120aeb6f9cb6d7d986a8ac7