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Promoting socially shared regulation of learning in CSCL: Progress of socially shared regulation among high- and low-performing groups
Affiliation:1. McGill University, Department of Educational and Counselling Psychology, 3700 McTavish Street, Montreal, Quebec H3A 1Y2, Canada;2. University of Utah, College of Education, 1721 Campus Center Drive, SAEC 3202, Salt Lake City, UT 8411, United States;3. Indiana University, Center for Research on Learning and Technology, School of Education, 1900 East Tenth Street, Bloomington, IN 47406-7512, United States;4. McGill University, Centre for Medical Education, 1110 Pine Avenue West, Montreal, Quebec H3A 1A3, Canada;5. University of Hong Kong, 2/F, William Mong Block, Faculty of Medicine Building, 21 Sassoon Road, Pokfulam, Hong Kong Special Administrative Region;6. Division of Information and Technology Studies, Faculty of Education, The University of Hong Kong, RunMe Shaw 114, Pokfulam Road, Hong Kong Special Administrative Region;1. Purdue University, United States;2. Rutgers, The State University of New Jersey, United States
Abstract:Collaborative groups encounter many challenges in their learning. They need to recognize challenges that may hinder collaboration, and to develop appropriate strategies to strengthen collaboration. This study aims to explore how groups progress in their socially shared regulation of learning (SSRL) in the context of computer-supported collaborative learning (CSCL). Teacher education students (N = 103) collaborated in groups of three to four students during a two-month multimedia course. The groups used the Virtual Collaborative Research Institute (VCRI) learning environment along with regulation tools that prompted them to recognize challenges that might hinder their collaboration and to develop SSRL strategies to overcome these challenges.In the data analysis, the groups reported challenges, and the SSRL strategies they employed were analyzed to specify the focus and function of the SSRL. Process discovery was used to explore how groups progressed in their SSRL. The results indicated that depending on the phase of the course, the SSRL focus and function shifted from regulating external challenges towards regulating the cognitive and motivational aspects of their collaboration. However, the high-performing groups progressed in their SSRL in terms of evidencing temporal variety in challenges and SSRL strategies across time, which was not the case with low performing groups.
Keywords:Socially shared regulation of learning  Self-regulated learning  Temporal analysis  Process discovery  Computer supported collaborative learning
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