Towards scalable collaborative learning flow pattern orchestratrion technologies
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- dc.contributor.author Manathunga, Kalpanica
- dc.contributor.author Hernández Leo, Daviniaca
- dc.date.accessioned 2017-06-09T16:34:16Z
- dc.date.available 2017-06-09T16:34:16Z
- dc.date.issued 2017
- 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.ca
- 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.en
- 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).en
- dc.format.mimetype application/pdfca
- 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.doi http://dx.doi.org/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.language.iso eng
- dc.publisher IATEDca
- 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.relation.projectID info:eu-repo/grantAgreement/ES/1PE/TIN2014-53199-C3-3-R
- dc.rights All rights reserved. Copyright © 2017, IATED
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.subject.keyword Collaborative learningen
- dc.subject.keyword Computer-supported collaborative learningen
- dc.subject.keyword Collaborative learning flow patternsen
- dc.subject.keyword Learning at scaleen
- dc.subject.keyword MOOC
- dc.title Towards scalable collaborative learning flow pattern orchestratrion technologiesca
- dc.type info:eu-repo/semantics/conferenceObject
- dc.type.version info:eu-repo/semantics/publishedVersion