Towards scalable collaborative learning flow pattern orchestratrion technologies

Manathunga, Kalpani; Hernández Leo, Davinia

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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