Towards scalable collaborative learning flow pattern orchestratrion technologies

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dc.contributor.authorManathunga, Kalpanica
dc.contributor.authorHernández Leo, Daviniaca
dc.date.accessioned2017-06-09T16:34:16Z
dc.date.available2017-06-09T16:34:16Z
dc.date.issued2017
dc.descriptionComunicació presentada a: EDULEARN17 9th International Conference on Education and New Learning Technologies, celebrat del 3 al 4 de juliolt de 2017 a Barcelona.ca
dc.description.abstractCollaborative 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.en
dc.description.sponsorshipThis 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).en
dc.format.mimetypeapplication/pdfca
dc.identifier.citationManathunga 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.doihttp://dx.doi.org/10.21125/edulearn.2017.2422
dc.identifier.isbn978-84-697-3777-4
dc.identifier.issn2340-1117
dc.identifier.urihttp://hdl.handle.net/10230/32248
dc.language.isoeng
dc.publisherIATEDca
dc.relation.ispartofGómez 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.relation.projectIDinfo:eu-repo/grantAgreement/ES/1PE/TIN2014-53199-C3-3-R
dc.rightsAll rights reserved. Copyright © 2017, IATED
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.subject.keywordCollaborative learningen
dc.subject.keywordComputer-supported collaborative learningen
dc.subject.keywordCollaborative learning flow patternsen
dc.subject.keywordLearning at scaleen
dc.subject.keywordMOOC
dc.titleTowards scalable collaborative learning flow pattern orchestratrion technologiesca
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.type.versioninfo:eu-repo/semantics/publishedVersion

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