Motivation-driven mechanics in computer-supported collaborative learning scripts

This dissertation explores motivation within Collaborative Learning Flow Patterns (CLFP), focusing on the Pyramid CLFP. It investigates how incorporating game mechanics (GM) can foster both intrinsic and extrinsic motivation to improve collaborative learning experiences. The study is structured arou...

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Detalles Bibliográficos
Autor: Lobo Quintero, René Alejandro
Tipo de recurso: tesis doctoral
Estado:Versión publicada
Fecha de publicación:2023
País:España
Institución:CBUC, CESCA
Repositorio:TDR. Tesis Doctorales en Red
OAI Identifier:oai:www.tdx.cat:10803/689827
Acceso en línea:http://hdl.handle.net/10803/689827
Access Level:acceso abierto
Palabra clave:Collaborative learning
Pyramid Collaborative Learning Flow Pattern
Learning analytics
CSCL
CLFP
Aprendizaje colaborativo
Flujo de Aprendizaje Colaborativo Pyramid
Analítica del aprendizaje
62
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spelling Motivation-driven mechanics in computer-supported collaborative learning scriptsLobo Quintero, René AlejandroCollaborative learningPyramid Collaborative Learning Flow PatternLearning analyticsCSCLCLFPAprendizaje colaborativoFlujo de Aprendizaje Colaborativo PyramidAnalítica del aprendizaje62This dissertation explores motivation within Collaborative Learning Flow Patterns (CLFP), focusing on the Pyramid CLFP. It investigates how incorporating game mechanics (GM) can foster both intrinsic and extrinsic motivation to improve collaborative learning experiences. The study is structured around three main objectives. Firstly, it examines how GM within Pyramid CLFP can induce a flow state, using Self-Determination Theory and game-based learning insights to optimize engagement. The second objective proposes developing Narrative Scripts (NS) that blend GM with collaborative scripts to elevate satisfaction, attention, and interest among students. Testing this approach revealed its capacity to alter student perceptions and enhance intrinsic motivation. The third objective delves into extrinsic motivation, analyzing reward-based gamification and its impact on participation. It further explores how the interplay between GM, extrinsic motivation, and the Group Awareness Tool within PyramidApp influences student engagement and learning outcomes.Esta tesis explora la mo+vación en los Patrones de Flujo de Aprendizaje Colaborativo (CLFP), enfocándose en Pyramid CLFP. Se investiga cómo la incorporación de mecánicas de juego (GM) puede impulsar la motivación intrínseca y extrínseca para enriquecer las experiencias de aprendizaje colaborativo. El estudio se articula en tres objetivos. Primero, se examina cómo las GM en Pyramid CLFP pueden inducir un estado de flujo, utilizando la Teoría de la Autodeterminación (SDT) y el aprendizaje basado en juegos para optimizar el interés. Segundo, se propone desarrollar guiones narrativos (NS) que fusionen las GM con scripts colaborativos para incrementar la satisfacción y atención de los estudiantes. Tercero, se analiza la motivación extrínseca, enfocándose en la gamificación basada en recompensas. También, se explora cómo la interacción entre las GM, la motivación extrínseca y la herramienta de concienciación de grupo (GAT) en PyramidApp influye en el interés de los estudiantesPrograma de Doctorat en Tecnologies de la Informació i les ComunicacionsUniversitat Pompeu FabraUniversitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions202420242023info:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/publishedVersion211 p.application/pdfhttp://hdl.handle.net/10803/689827TDX (Tesis Doctorals en Xarxa)reponame:TDR. Tesis Doctorales en Redinstname:CBUC, CESCAInglésL'accés als continguts d'aquesta tesi queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons: http://creativecommons.org/licenses/by-nc-sa/4.0/http://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccessoai:www.tdx.cat:10803/6898272026-06-14T12:46:07Z
dc.title.none.fl_str_mv Motivation-driven mechanics in computer-supported collaborative learning scripts
title Motivation-driven mechanics in computer-supported collaborative learning scripts
spellingShingle Motivation-driven mechanics in computer-supported collaborative learning scripts
Lobo Quintero, René Alejandro
Collaborative learning
Pyramid Collaborative Learning Flow Pattern
Learning analytics
CSCL
CLFP
Aprendizaje colaborativo
Flujo de Aprendizaje Colaborativo Pyramid
Analítica del aprendizaje
62
title_short Motivation-driven mechanics in computer-supported collaborative learning scripts
title_full Motivation-driven mechanics in computer-supported collaborative learning scripts
title_fullStr Motivation-driven mechanics in computer-supported collaborative learning scripts
title_full_unstemmed Motivation-driven mechanics in computer-supported collaborative learning scripts
title_sort Motivation-driven mechanics in computer-supported collaborative learning scripts
dc.creator.none.fl_str_mv Lobo Quintero, René Alejandro
author Lobo Quintero, René Alejandro
author_facet Lobo Quintero, René Alejandro
author_role author
dc.contributor.none.fl_str_mv Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions
dc.subject.none.fl_str_mv Collaborative learning
Pyramid Collaborative Learning Flow Pattern
Learning analytics
CSCL
CLFP
Aprendizaje colaborativo
Flujo de Aprendizaje Colaborativo Pyramid
Analítica del aprendizaje
62
topic Collaborative learning
Pyramid Collaborative Learning Flow Pattern
Learning analytics
CSCL
CLFP
Aprendizaje colaborativo
Flujo de Aprendizaje Colaborativo Pyramid
Analítica del aprendizaje
62
description This dissertation explores motivation within Collaborative Learning Flow Patterns (CLFP), focusing on the Pyramid CLFP. It investigates how incorporating game mechanics (GM) can foster both intrinsic and extrinsic motivation to improve collaborative learning experiences. The study is structured around three main objectives. Firstly, it examines how GM within Pyramid CLFP can induce a flow state, using Self-Determination Theory and game-based learning insights to optimize engagement. The second objective proposes developing Narrative Scripts (NS) that blend GM with collaborative scripts to elevate satisfaction, attention, and interest among students. Testing this approach revealed its capacity to alter student perceptions and enhance intrinsic motivation. The third objective delves into extrinsic motivation, analyzing reward-based gamification and its impact on participation. It further explores how the interplay between GM, extrinsic motivation, and the Group Awareness Tool within PyramidApp influences student engagement and learning outcomes.
publishDate 2023
dc.date.none.fl_str_mv 2023
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/doctoralThesis
info:eu-repo/semantics/publishedVersion
format doctoralThesis
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10803/689827
url http://hdl.handle.net/10803/689827
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 211 p.
application/pdf
dc.publisher.none.fl_str_mv Universitat Pompeu Fabra
publisher.none.fl_str_mv Universitat Pompeu Fabra
dc.source.none.fl_str_mv TDX (Tesis Doctorals en Xarxa)
reponame:TDR. Tesis Doctorales en Red
instname:CBUC, CESCA
instname_str CBUC, CESCA
reponame_str TDR. Tesis Doctorales en Red
collection TDR. Tesis Doctorales en Red
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869416664247828480
score 15.300724

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