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Title:
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Towards scalable collaborative learning flow pattern orchestratrion technologies
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Author:
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Manathunga, Kalpani; Hernández Leo, Davinia
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Abstract:
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Comunicació presentada a: EDULEARN17 9th International Conference on Education and New Learning Technologies, celebrat del 3 al 4 de juliolt de 2017 a Barcelona. |
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Abstract:
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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. |
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Abstract:
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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). |
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Subject(s):
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-Collaborative learning
-Computer-supported collaborative learning
-Collaborative learning flow patterns
-Learning at scale
-MOOC |
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Rights:
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All rights reserved. Copyright © 2017, IATED
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Document type:
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Conference Object
Article - Published version |
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Published by:
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IATED
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