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Towards data-informed group formation support across learning spaces

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dc.contributor.author Amarasinghe, Ishari
dc.contributor.author Hernández Leo, Davinia
dc.contributor.author Jonsson, Anders
dc.date.accessioned 2017-04-06T07:26:02Z
dc.date.available 2017-04-06T07:26:02Z
dc.date.issued 2017
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.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.language.iso eng
dc.rights © 2017 The authors
dc.title Towards data-informed group formation support across learning spaces
dc.type info:eu-repo/semantics/conferenceObject
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.relation.projectID info:eu-repo/grantAgreement/ES/1PE/TIN2014-53199-C3-3-R
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/acceptedVersion


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