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Towards scalable collaborative learning flow pattern orchestratrion technologies

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dc.contributor.author Manathunga, Kalpani
dc.contributor.author Hernández Leo, Davinia
dc.date.accessioned 2017-06-09T16:34:16Z
dc.date.available 2017-06-09T16:34:16Z
dc.date.issued 2017
dc.identifier.citation Manathunga K, Hérnandez-Leo D. Towards scalable collaborative learning flow pattern orchestration technologies. In: Gómez Chova L, López Martínez A, Candel Torres I, editors. EDULEARN17 Proceedings 9th International Conference on Education and New Learning Technologies; 2017 Jul 3-4; Barcelona, Spain. Valencia: IATED; 2017. p. 6277-86. DOI: 10.21125/edulearn.2017.2422
dc.identifier.isbn 978-84-697-3777-4
dc.identifier.issn 2340-1117
dc.identifier.uri http://hdl.handle.net/10230/32248
dc.description Comunicació presentada a: EDULEARN17 9th International Conference on Education and New Learning Technologies, celebrat del 3 al 4 de juliolt de 2017 a Barcelona.
dc.description.abstract Collaborative Learning Flow Patterns (CLFPs) structure learning flows to shape desired social interactions among learners leading to fruitful learning gains. It is worthwhile to study the possibilities of CLFP extensions to be applicable in large class contexts and also in Massive Open Online Courses (MOOCs) considering their dynamic, unpredictable nature. This study considers most commonly used patterns for the adaptability in such contexts from different dimensions like pedagogical interest, scalability and other related perspectives. As a result derived from the analysis, a collection of use cases is elaborated illustrating potential collaborative learning opportunities, design requirements, initial screen designs of such activities and expected functionality descriptions for novel CSCL orchestration technologies. One of these use cases is implemented in the PyramidApp tool.
dc.description.sponsorship This work has been partially funded by the Spanish Ministry of Economy and Competitiveness under RESET (TIN2014-53199-C3-3-R), the Maria de Maeztu Units of Excellence Programme (MDM-2015- 0502) and RecerCaixa (CoT project).
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher IATED
dc.relation.ispartof Gómez Chova L, López Martínez A, Candel Torres I, editors. EDULEARN17 Proceedings 9th International Conference on Education and New Learning Technologies; 2017 Jul 3-4; Barcelona, Spain. Valencia: IATED; 2017. p. 6277-86.
dc.rights All rights reserved. Copyright © 2017, IATED
dc.title Towards scalable collaborative learning flow pattern orchestratrion technologies
dc.type info:eu-repo/semantics/conferenceObject
dc.identifier.doi http://dx.doi.org/10.21125/edulearn.2017.2422
dc.subject.keyword Collaborative learning
dc.subject.keyword Computer-supported collaborative learning
dc.subject.keyword Collaborative learning flow patterns
dc.subject.keyword Learning at scale
dc.subject.keyword MOOC
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/publishedVersion


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