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research-article

Promoting socially shared regulation of learning in CSCL

Authors:

Jonna Malmberg,

Sanna Järvelä,

Hanna Järvenoja,

Ernesto PanaderoAuthors Info & Claims

Computers in Human Behavior, Volume 52, Issue C

Pages 562 - 572

https://doi.org/10.1016/j.chb.2015.03.082

Published: 01 November 2015 Publication History

Abstract

Socially shared regulation plays a critical role in successful collaboration.Process discovery is used to reveal how groups progress in regulated learning.High performing groups evidenced temporal variety in challenges and strategies.Low performing groups were often incapable of recognizing challenges. 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.

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Cited By

Suraworachet WSeon JCukurova M(2024)Predicting challenge moments from students' discourse: A comparison of GPT-4 to two traditional natural language processing approachesProceedings of the 14th Learning Analytics and Knowledge Conference10.1145/3636555.3636905(473-485)Online publication date: 18-Mar-2024
https://dl.acm.org/doi/10.1145/3636555.3636905
Velamazán MSantos PHernández Leo D(2024)How to Design Features for Promoting Social and Emotional Interactions During Computer Supported Collaborative LearningLearning and Collaboration Technologies10.1007/978-3-031-61672-3_9(124-144)Online publication date: 29-Jun-2024
https://dl.acm.org/doi/10.1007/978-3-031-61672-3_9
Zheng XHuang JXia XHwang GTu YHuang YWang F(2023)Effects of online whiteboard-based collaborative argumentation scaffolds on group-level cognitive regulations, written argument skills and regulation patternsComputers & Education10.1016/j.compedu.2023.104920207:COnline publication date: 1-Dec-2023
https://dl.acm.org/doi/10.1016/j.compedu.2023.104920
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Promoting socially shared regulation of learning in CSCL
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cover image Computers in Human Behavior

Computers in Human Behavior Volume 52, Issue C

November 2015

632 pages

ISSN:0747-5632

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Copyright © Elsevier Ltd.

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Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 November 2015

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Cited By

Suraworachet WSeon JCukurova M(2024)Predicting challenge moments from students' discourse: A comparison of GPT-4 to two traditional natural language processing approachesProceedings of the 14th Learning Analytics and Knowledge Conference10.1145/3636555.3636905(473-485)Online publication date: 18-Mar-2024
https://dl.acm.org/doi/10.1145/3636555.3636905
Velamazán MSantos PHernández Leo D(2024)How to Design Features for Promoting Social and Emotional Interactions During Computer Supported Collaborative LearningLearning and Collaboration Technologies10.1007/978-3-031-61672-3_9(124-144)Online publication date: 29-Jun-2024
https://dl.acm.org/doi/10.1007/978-3-031-61672-3_9
Zheng XHuang JXia XHwang GTu YHuang YWang F(2023)Effects of online whiteboard-based collaborative argumentation scaffolds on group-level cognitive regulations, written argument skills and regulation patternsComputers & Education10.1016/j.compedu.2023.104920207:COnline publication date: 1-Dec-2023
https://dl.acm.org/doi/10.1016/j.compedu.2023.104920
Zabolotna KMalmberg JJärvenoja H(2023)Examining the interplay of knowledge construction and group-level regulation in a computer-supported collaborative learning physics taskComputers in Human Behavior10.1016/j.chb.2022.107494138:COnline publication date: 1-Jan-2023
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Li CPeng YPeng PCao LZhou S(2021)A study of fuzzy modeling analysis of factors influencing socially regulation of learning performance in an online environmentJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-18972441:3(4639-4649)Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.3233/JIFS-189724
Park KSohn HMott BMin WSaleh AGlazewski KHmelo-Silver CLester JScheffel MDowell NJoksimovic SSiemens G(2021)Detecting Disruptive Talk in Student Chat-Based Discussion within Collaborative Game-Based Learning EnvironmentsLAK21: 11th International Learning Analytics and Knowledge Conference10.1145/3448139.3448178(405-415)Online publication date: 12-Apr-2021
https://dl.acm.org/doi/10.1145/3448139.3448178
Velamazán MSantos PHernández-Leo D(2021)Awareness Tools for Monitoring Socio-emotional Regulation During Collaboration in Settings Outside School Without Teacher SupervisionTechnology-Enhanced Learning for a Free, Safe, and Sustainable World10.1007/978-3-030-86436-1_41(389-393)Online publication date: 20-Sep-2021
https://dl.acm.org/doi/10.1007/978-3-030-86436-1_41
Dindar MMalmberg JJärvelä SHaataja EKirschner P(2020)Matching self-reports with electrodermal activity data: Investigating temporal changes in self-regulated learningEducation and Information Technologies10.1007/s10639-019-10059-525:3(1785-1802)Online publication date: 1-May-2020
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Garcia CMeincheim AFaria Junior EDallagassa MSato DCarvalho DSantos EScalabrin E(2019)Process mining techniques and applications – A systematic mapping studyExpert Systems with Applications: An International Journal10.1016/j.eswa.2019.05.003133:C(260-295)Online publication date: 1-Nov-2019
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Malmberg JJärvelä SHolappa JHaataja EHuang XSiipo A(2019)Going beyond what is visibleComputers in Human Behavior10.1016/j.chb.2018.06.03096:C(235-245)Online publication date: 1-Jul-2019
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