Towards data-informed group formation support across learning spaces

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• dc.contributor.author Amarasinghe, Isharica
• dc.contributor.author Hernández Leo, Daviniaca
• dc.contributor.author Jonsson, Anders, 1973-ca
• dc.date.accessioned 2017-04-06T07:26:02Z
• dc.date.available 2017-04-06T07:26:02Z
• dc.date.issued 2017
• dc.description Comunicación acceptada al International Workshop on Learning Analytics Across Spaces (CrossLak) 2017.
• dc.description.abstract Learning via collaboration has gained much success over past few decades given their learning benefits. Group composition has been seen as a relevant design element that contributes to the potential effectiveness of collaborative learning. To support practitioners in this context this paper addresses the problem of automatic group formation implementing policies related to well-known collaboration techniques and considering personal attributes in across-spaces contexts where multiple activities, places and tools are involved in a learning situation. Analytics of contextual and progress-in-activity information about learners presented as a summary would support practitioners to obtain a comprehensive knowledge about them to subsequently facilitate formation of effective collaborative groups to face forthcoming activities. The paper discusses a work in progress web based architecture of a group formation service to compute groupings which also assists in recommending grouping constraints via learning analytics which will facilitate practitioners in the adaptive set-up of the group formation design element across-spaces.
• dc.description.sponsorship This research is partially funded by Spanish Ministry of Economy and Competitiveness under RESET (TIN2014-53199-C3-3-R) and the Maria de Maeztu Units of Excellence Programme (MDM-2015-0502).
• dc.format.mimetype application/pdfca
• dc.identifier.citation Amarasinghe I, Hernández-Leo D, Jonsson A. Towards data-informed group formation support across learning spaces. Paper presented at: International Workshop on Learning Analytics Across Spaces (Cross-LAK), 7th International Conference on Learning Analytics & Knowledge (LAK'17);2017 March 13; Vancouver, Canada.
• dc.identifier.uri http://hdl.handle.net/10230/30804
• dc.language.iso eng
• dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/TIN2014-53199-C3-3-R
• dc.rights © 2017 The authors
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword Learning analytics
• dc.subject.keyword Computer supported collaborative learning
• dc.subject.keyword Collaborative group formation
• dc.subject.keyword Jigsaw
• dc.subject.keyword Social learning
• dc.title Towards data-informed group formation support across learning spacesca
• dc.type info:eu-repo/semantics/conferenceObject
• dc.type.version info:eu-repo/semantics/acceptedVersion