Evaluation of Intelligent Grouping Based on Learners’ Collaboration Competence Level in Online Collaborative Learning Environment

In this paper we explore the impact of an intelligent grouping algorithm based on learners’ collaborative competency when compared with (a) instructor based Grade Point Average (GPA) method level and (b) random method, on group outcomes and group collaboration problems in an online collaborative le...

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Autores principales:	Maina Elizaphan Muuro, Robert Obwocha Oboko, Peter Waiganjo Wagacha
Formato:	article
Lenguaje:	EN
Publicado:	Athabasca University Press 2016
Materias:	online collaborative learning intelligent grouping Learning Management Systems true experiment design learner’s collaboration competence level Special aspects of education LC8-6691
Acceso en línea:	https://doaj.org/article/cd35be3d014341e1b5039c27a7a71ad9
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spelling	oai:doaj.org-article:cd35be3d014341e1b5039c27a7a71ad92021-12-02T18:03:16ZEvaluation of Intelligent Grouping Based on Learners’ Collaboration Competence Level in Online Collaborative Learning Environment10.19173/irrodl.v17i2.20661492-3831https://doaj.org/article/cd35be3d014341e1b5039c27a7a71ad92016-03-01T00:00:00Zhttp://www.irrodl.org/index.php/irrodl/article/view/2066https://doaj.org/toc/1492-3831 In this paper we explore the impact of an intelligent grouping algorithm based on learners’ collaborative competency when compared with (a) instructor based Grade Point Average (GPA) method level and (b) random method, on group outcomes and group collaboration problems in an online collaborative learning environment. An intelligent grouping algorithm has been added in a Learning Management System (LMS) which is capable of forming heterogeneous groups based on learners’ collaborative competency level. True experiment design methodology was deployed to examine whether there is any association between group formation method and group scores, learning experiences and group problems. From the findings, all groups had almost similar mean scores in all group tests, and shared many similar group collaboration problems and learning experiences. However, with the understanding that GPA group formation method involves the instructor, may not be dynamic, and the random method does not guarantee heterogeneity based on learner’s collaboration competence level, instructors are more likely to adopt our intelligent grouping method as the findings show that it has similar results. Furthermore, it provides an added advantage in supporting group formation due to its guarantee on heterogeneity, dynamism, and less instructor involvement. Maina Elizaphan MuuroRobert Obwocha ObokoPeter Waiganjo WagachaAthabasca University Pressarticleonline collaborative learningintelligent groupingLearning Management Systemstrue experiment designlearner’s collaboration competence levelSpecial aspects of educationLC8-6691ENInternational Review of Research in Open and Distributed Learning, Vol 17, Iss 2 (2016)
institution	DOAJ
collection	DOAJ
language	EN
topic	online collaborative learning intelligent grouping Learning Management Systems true experiment design learner’s collaboration competence level Special aspects of education LC8-6691
spellingShingle	online collaborative learning intelligent grouping Learning Management Systems true experiment design learner’s collaboration competence level Special aspects of education LC8-6691 Maina Elizaphan Muuro Robert Obwocha Oboko Peter Waiganjo Wagacha Evaluation of Intelligent Grouping Based on Learners’ Collaboration Competence Level in Online Collaborative Learning Environment
description	In this paper we explore the impact of an intelligent grouping algorithm based on learners’ collaborative competency when compared with (a) instructor based Grade Point Average (GPA) method level and (b) random method, on group outcomes and group collaboration problems in an online collaborative learning environment. An intelligent grouping algorithm has been added in a Learning Management System (LMS) which is capable of forming heterogeneous groups based on learners’ collaborative competency level. True experiment design methodology was deployed to examine whether there is any association between group formation method and group scores, learning experiences and group problems. From the findings, all groups had almost similar mean scores in all group tests, and shared many similar group collaboration problems and learning experiences. However, with the understanding that GPA group formation method involves the instructor, may not be dynamic, and the random method does not guarantee heterogeneity based on learner’s collaboration competence level, instructors are more likely to adopt our intelligent grouping method as the findings show that it has similar results. Furthermore, it provides an added advantage in supporting group formation due to its guarantee on heterogeneity, dynamism, and less instructor involvement.
format	article
author	Maina Elizaphan Muuro Robert Obwocha Oboko Peter Waiganjo Wagacha
author_facet	Maina Elizaphan Muuro Robert Obwocha Oboko Peter Waiganjo Wagacha
author_sort	Maina Elizaphan Muuro
title	Evaluation of Intelligent Grouping Based on Learners’ Collaboration Competence Level in Online Collaborative Learning Environment
title_short	Evaluation of Intelligent Grouping Based on Learners’ Collaboration Competence Level in Online Collaborative Learning Environment
title_full	Evaluation of Intelligent Grouping Based on Learners’ Collaboration Competence Level in Online Collaborative Learning Environment
title_fullStr	Evaluation of Intelligent Grouping Based on Learners’ Collaboration Competence Level in Online Collaborative Learning Environment
title_full_unstemmed	Evaluation of Intelligent Grouping Based on Learners’ Collaboration Competence Level in Online Collaborative Learning Environment
title_sort	evaluation of intelligent grouping based on learners’ collaboration competence level in online collaborative learning environment
publisher	Athabasca University Press
publishDate	2016
url	https://doaj.org/article/cd35be3d014341e1b5039c27a7a71ad9
work_keys_str_mv	AT mainaelizaphanmuuro evaluationofintelligentgroupingbasedonlearnerscollaborationcompetencelevelinonlinecollaborativelearningenvironment AT robertobwochaoboko evaluationofintelligentgroupingbasedonlearnerscollaborationcompetencelevelinonlinecollaborativelearningenvironment AT peterwaiganjowagacha evaluationofintelligentgroupingbasedonlearnerscollaborationcompetencelevelinonlinecollaborativelearningenvironment
_version_	1718378777230180352

Evaluation of Intelligent Grouping Based on Learners’ Collaboration Competence Level in Online Collaborative Learning Environment

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