Dynamic Group Formation With Intelligent Tutor Collaborative Learning: A Novel Approach for Next Generation Collaboration

Group Formation (GF) strongly influences the collaborative learning process in ComputerSupported Collaborative Learning (CSCL). Various factors affect GF that include personal characteristics, social, cultural, psychological, and cognitive diversity. Although different group formation methods aim to...

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Autores: Haq, Ijaz Ul, Anwar, Aamir, Rehman, Ikram Ur, Asif, Waqar, Sobnath, Drishty, Husnain Raza Sherazi, Hafiz, Nasralla, Moustafa M.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:España
Institución:Universitat de Lleida (UdL)
Repositorio:Repositori Obert UdL
OAI Identifier:oai:repositori.udl.cat:10459.1/72335
Acceso en línea:https://doi.org/10.1109/ACCESS.2021.3120557
http://hdl.handle.net/10459.1/72335
Access Level:acceso abierto
Palabra clave:Human–computer interaction
Computer-supported collaborative learning
Group formation
Knowledge level
Collaborative learning
Intelligent tutoring system
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spelling Dynamic Group Formation With Intelligent Tutor Collaborative Learning: A Novel Approach for Next Generation CollaborationHaq, Ijaz UlAnwar, AamirRehman, Ikram UrAsif, WaqarSobnath, DrishtyHusnain Raza Sherazi, HafizNasralla, Moustafa M.Human–computer interactionComputer-supported collaborative learningGroup formationKnowledge levelCollaborative learningIntelligent tutoring systemGroup Formation (GF) strongly influences the collaborative learning process in ComputerSupported Collaborative Learning (CSCL). Various factors affect GF that include personal characteristics, social, cultural, psychological, and cognitive diversity. Although different group formation methods aim to solve the group compatibility problem, an optimal solution for dynamic group formation is still not addressed. In addition, the research lacks to supplement collaborative group formation with a collaborative platform. In this study, the next level of collaboration in CSCL and Intelligent Tutoring System (ITS) platforms is achieved. First, initial groups are formed based on students learning styles, and knowledge level, i.e. for knowledge level, an activity-based dynamic group formation technique is proposed. In this activity, swapping of students takes place on each permutation based on their knowledge level. Second, the formed heterogeneous balanced groups are used to augment the collaborative learning system. For this purpose, a hybrid framework of Intelligent Tutor Collaborative Learning (ITSCL) is used that provides a unique and real-time collaborative learning platform. Third, an experiment is conducted to evaluate the significance of the proposed study. Inferential and descriptive statistics of Paired T-Tests are applied for comprehensive analysis of recorded observations. The statistical results show that the proposed ITSCL framework positively impacts student learning and results in higher learning gains.IEEE2021info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://doi.org/10.1109/ACCESS.2021.3120557http://hdl.handle.net/10459.1/72335reponame:Repositori Obert UdL instname:Universitat de Lleida (UdL)InglésReproducció del document publicat a https://doi.org/10.1109/ACCESS.2021.3120557IEEE Access, 2021, vol. 9, p. 143406-143422cc-by (c) Ijaz Ul Haq et al., 2021info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/oai:repositori.udl.cat:10459.1/723352026-06-24T12:42:17Z
dc.title.none.fl_str_mv Dynamic Group Formation With Intelligent Tutor Collaborative Learning: A Novel Approach for Next Generation Collaboration
title Dynamic Group Formation With Intelligent Tutor Collaborative Learning: A Novel Approach for Next Generation Collaboration
spellingShingle Dynamic Group Formation With Intelligent Tutor Collaborative Learning: A Novel Approach for Next Generation Collaboration
Haq, Ijaz Ul
Human–computer interaction
Computer-supported collaborative learning
Group formation
Knowledge level
Collaborative learning
Intelligent tutoring system
title_short Dynamic Group Formation With Intelligent Tutor Collaborative Learning: A Novel Approach for Next Generation Collaboration
title_full Dynamic Group Formation With Intelligent Tutor Collaborative Learning: A Novel Approach for Next Generation Collaboration
title_fullStr Dynamic Group Formation With Intelligent Tutor Collaborative Learning: A Novel Approach for Next Generation Collaboration
title_full_unstemmed Dynamic Group Formation With Intelligent Tutor Collaborative Learning: A Novel Approach for Next Generation Collaboration
title_sort Dynamic Group Formation With Intelligent Tutor Collaborative Learning: A Novel Approach for Next Generation Collaboration
dc.creator.none.fl_str_mv Haq, Ijaz Ul
Anwar, Aamir
Rehman, Ikram Ur
Asif, Waqar
Sobnath, Drishty
Husnain Raza Sherazi, Hafiz
Nasralla, Moustafa M.
author Haq, Ijaz Ul
author_facet Haq, Ijaz Ul
Anwar, Aamir
Rehman, Ikram Ur
Asif, Waqar
Sobnath, Drishty
Husnain Raza Sherazi, Hafiz
Nasralla, Moustafa M.
author_role author
author2 Anwar, Aamir
Rehman, Ikram Ur
Asif, Waqar
Sobnath, Drishty
Husnain Raza Sherazi, Hafiz
Nasralla, Moustafa M.
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Human–computer interaction
Computer-supported collaborative learning
Group formation
Knowledge level
Collaborative learning
Intelligent tutoring system
topic Human–computer interaction
Computer-supported collaborative learning
Group formation
Knowledge level
Collaborative learning
Intelligent tutoring system
description Group Formation (GF) strongly influences the collaborative learning process in ComputerSupported Collaborative Learning (CSCL). Various factors affect GF that include personal characteristics, social, cultural, psychological, and cognitive diversity. Although different group formation methods aim to solve the group compatibility problem, an optimal solution for dynamic group formation is still not addressed. In addition, the research lacks to supplement collaborative group formation with a collaborative platform. In this study, the next level of collaboration in CSCL and Intelligent Tutoring System (ITS) platforms is achieved. First, initial groups are formed based on students learning styles, and knowledge level, i.e. for knowledge level, an activity-based dynamic group formation technique is proposed. In this activity, swapping of students takes place on each permutation based on their knowledge level. Second, the formed heterogeneous balanced groups are used to augment the collaborative learning system. For this purpose, a hybrid framework of Intelligent Tutor Collaborative Learning (ITSCL) is used that provides a unique and real-time collaborative learning platform. Third, an experiment is conducted to evaluate the significance of the proposed study. Inferential and descriptive statistics of Paired T-Tests are applied for comprehensive analysis of recorded observations. The statistical results show that the proposed ITSCL framework positively impacts student learning and results in higher learning gains.
publishDate 2021
dc.date.none.fl_str_mv 2021
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 https://doi.org/10.1109/ACCESS.2021.3120557
http://hdl.handle.net/10459.1/72335
url https://doi.org/10.1109/ACCESS.2021.3120557
http://hdl.handle.net/10459.1/72335
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a https://doi.org/10.1109/ACCESS.2021.3120557
IEEE Access, 2021, vol. 9, p. 143406-143422
dc.rights.none.fl_str_mv cc-by (c) Ijaz Ul Haq et al., 2021
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
rights_invalid_str_mv cc-by (c) Ijaz Ul Haq et al., 2021
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
dc.source.none.fl_str_mv reponame:Repositori Obert UdL
instname:Universitat de Lleida (UdL)
instname_str Universitat de Lleida (UdL)
reponame_str Repositori Obert UdL
collection Repositori Obert UdL
repository.name.fl_str_mv
repository.mail.fl_str_mv
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