Studying the flow experience in computer-supported collaborative learning: a study with pyramidApp

Computer-Supported Collaborative Learning (CSCL) is recognized as an effective methodology for fostering social interaction mediated by technology in ways that potentially trigger learning. The successful implementation of CSCL hinges on factors such as the scripting mechanics for activity sequencin...

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Autores: Lobo-Quintero, René, Sánchez Reina, Jesús Roberto, Hernández-Leo, Davinia
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Universitat Pompeu Fabra
Repositorio:Repositorio Digital de la UPF
OAI Identifier:oai:repositori.upf.edu:10230/68845
Acceso en línea:http://hdl.handle.net/10230/68845
http://dx.doi.org/10.18608/jla.2024.8185
Access Level:acceso abierto
Palabra clave:Flow experience
Collaborative learning
Pyramid collaborative learning flow pattern
Learning analytics
Research paper
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spelling Studying the flow experience in computer-supported collaborative learning: a study with pyramidAppLobo-Quintero, RenéSánchez Reina, Jesús RobertoHernández-Leo, DaviniaFlow experienceCollaborative learningPyramid collaborative learning flow patternLearning analyticsResearch paperComputer-Supported Collaborative Learning (CSCL) is recognized as an effective methodology for fostering social interaction mediated by technology in ways that potentially trigger learning. The successful implementation of CSCL hinges on factors such as the scripting mechanics for activity sequencing proposed by Collaborative Learning Flow Patterns (CLFP). Yet, research in CSCL scripts has not studied if CLFPs achieves the so-called notion of “flow experience,” defined as an optimal state in which individuals are engaged and absorbed in an activity. This study proposes an approach to measure flow in the case of the Pyramid CLFP and studies the factors that influence the flow experience in the PyramidApp tool. The study tests a model that uses analysis of the Flow Short Scale and data logs. The findings show that there is a relationship between factors such as the speed of individual contributions and active participation in groups with the flow experience. Notably, the quantity of participation does not exhibit a discernible impact on the flow. The study emphasizes the interest of the modelled factors and the proposed approach for learning analytics to understand the flow experience in CLFP implementations.This work was supported by the National Research Agency of the Spanish Ministry (PID2020-112584RB-C33/MICIN/AEI/10.13039/501100011033, CEX2021-001195-M), Volkswagen Stiftung (grant number Courage 95 566) and the Department of Research and Universities of the Government of Catalonia (SGR 00930). D. Hernández-Leo (Serra Húnter) acknowledges the support by ICREA under the ICREA Academia programme.Society for Learning Analytics Research202420242024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/68845http://dx.doi.org/10.18608/jla.2024.8185reponame:Repositorio Digital de la UPFinstname:Universitat Pompeu FabraInglésJournal of Learning Analytics. 2024;11(3):106-22info:eu-repo/grantAgreement/ES/2PE/PID2020-112584RB-C33info:eu-repo/grantAgreement/ES/3PE/CEX2021-001195-MThe Journal of Learning Analytics works under a Creative Commons License, Attribution -NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0).http://creativecommons.org/licenses/by-nc-nd/3.0/info:eu-repo/semantics/openAccessoai:repositori.upf.edu:10230/688452026-06-12T07:21:37Z
dc.title.none.fl_str_mv Studying the flow experience in computer-supported collaborative learning: a study with pyramidApp
title Studying the flow experience in computer-supported collaborative learning: a study with pyramidApp
spellingShingle Studying the flow experience in computer-supported collaborative learning: a study with pyramidApp
Lobo-Quintero, René
Flow experience
Collaborative learning
Pyramid collaborative learning flow pattern
Learning analytics
Research paper
title_short Studying the flow experience in computer-supported collaborative learning: a study with pyramidApp
title_full Studying the flow experience in computer-supported collaborative learning: a study with pyramidApp
title_fullStr Studying the flow experience in computer-supported collaborative learning: a study with pyramidApp
title_full_unstemmed Studying the flow experience in computer-supported collaborative learning: a study with pyramidApp
title_sort Studying the flow experience in computer-supported collaborative learning: a study with pyramidApp
dc.creator.none.fl_str_mv Lobo-Quintero, René
Sánchez Reina, Jesús Roberto
Hernández-Leo, Davinia
author Lobo-Quintero, René
author_facet Lobo-Quintero, René
Sánchez Reina, Jesús Roberto
Hernández-Leo, Davinia
author_role author
author2 Sánchez Reina, Jesús Roberto
Hernández-Leo, Davinia
author2_role author
author
dc.subject.none.fl_str_mv Flow experience
Collaborative learning
Pyramid collaborative learning flow pattern
Learning analytics
Research paper
topic Flow experience
Collaborative learning
Pyramid collaborative learning flow pattern
Learning analytics
Research paper
description Computer-Supported Collaborative Learning (CSCL) is recognized as an effective methodology for fostering social interaction mediated by technology in ways that potentially trigger learning. The successful implementation of CSCL hinges on factors such as the scripting mechanics for activity sequencing proposed by Collaborative Learning Flow Patterns (CLFP). Yet, research in CSCL scripts has not studied if CLFPs achieves the so-called notion of “flow experience,” defined as an optimal state in which individuals are engaged and absorbed in an activity. This study proposes an approach to measure flow in the case of the Pyramid CLFP and studies the factors that influence the flow experience in the PyramidApp tool. The study tests a model that uses analysis of the Flow Short Scale and data logs. The findings show that there is a relationship between factors such as the speed of individual contributions and active participation in groups with the flow experience. Notably, the quantity of participation does not exhibit a discernible impact on the flow. The study emphasizes the interest of the modelled factors and the proposed approach for learning analytics to understand the flow experience in CLFP implementations.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/68845
http://dx.doi.org/10.18608/jla.2024.8185
url http://hdl.handle.net/10230/68845
http://dx.doi.org/10.18608/jla.2024.8185
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Journal of Learning Analytics. 2024;11(3):106-22
info:eu-repo/grantAgreement/ES/2PE/PID2020-112584RB-C33
info:eu-repo/grantAgreement/ES/3PE/CEX2021-001195-M
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/3.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/3.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Society for Learning Analytics Research
publisher.none.fl_str_mv Society for Learning Analytics Research
dc.source.none.fl_str_mv reponame:Repositorio Digital de la UPF
instname:Universitat Pompeu Fabra
instname_str Universitat Pompeu Fabra
reponame_str Repositorio Digital de la UPF
collection Repositorio Digital de la UPF
repository.name.fl_str_mv
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