research-article

A method to form learners groups in computer-supported collaborative learning systems

Authors:

Rafael Duque Medina,

Domingo Gómez-Pérez,

Alicia Nieto-Reyes,

Crescencio Bravo SantosAuthors Info & Claims

TEEM '13: Proceedings of the First International Conference on Technological Ecosystem for Enhancing Multiculturality

Pages 261 - 266

https://doi.org/10.1145/2536536.2536576

Published: 14 November 2013 Publication History

Abstract

Nowadays, most students take part in collaborative learning activities, which consist of carrying out academic tasks in groups. Computer-Supported Collaborative Learning (CSCL) systems offer tools to support these collective activities. The method used to form the learners groups can be a key element in achieving a successful collaboration. This paper proposes a method of group formation using indicators that analyze previous collaborative activities of the learners. This method is based on data depth, a statistical tool that allows the ordering of multivariate data. In the process, the data depth of the analysis indicators of each learner is calculated, providing a measure that compares the values of the indicators of each learner with those of other learners. Thus, the method allows us to group learners whose analysis indicators register similar or different values. In this way, a flexible approach for forming homogeneous or heterogeneous groups is offered. We develop a software tool for this method, which we use in a case study to form groups of learners who work on programming tasks using a CSCL system.

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Cited By

Wortmann CVahrenhold J(2024)Regulation, Self-Efficacy, and Participation in CS1 Group WorkProceedings of the 2024 ACM Conference on International Computing Education Research - Volume 110.1145/3632620.3671115(359-373)Online publication date: 12-Aug-2024
https://dl.acm.org/doi/10.1145/3632620.3671115
Costaguta R(2015)Algorithms and Machine Learning Techniques in Collaborative Group FormationAdvances in Artificial Intelligence and Its Applications10.1007/978-3-319-27101-9_18(249-258)Online publication date: 10-Dec-2015
https://doi.org/10.1007/978-3-319-27101-9_18

Index Terms

A method to form learners groups in computer-supported collaborative learning systems

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cover image ACM Other conferences

TEEM '13: Proceedings of the First International Conference on Technological Ecosystem for Enhancing Multiculturality

November 2013

582 pages

ISBN:9781450323451

DOI:10.1145/2536536

Editor:
Francisco José García-Peñalvo
University of Salamanca, Salamanca, Spain

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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University of Salamanca: University of Salamanca

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 November 2013

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Ministerio de Ciencia y Tecnología
Ministerio de Economía y Competitividad

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TEEM '13

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University of Salamanca

TEEM '13: Technological Ecosystems for Enhancing Multiculturality Conference

November 14 - 15, 2013

Salamanca, Spain

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TEEM '13 Paper Acceptance Rate 94 of 118 submissions, 80%;

Overall Acceptance Rate 496 of 705 submissions, 70%

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Cited By

Wortmann CVahrenhold J(2024)Regulation, Self-Efficacy, and Participation in CS1 Group WorkProceedings of the 2024 ACM Conference on International Computing Education Research - Volume 110.1145/3632620.3671115(359-373)Online publication date: 12-Aug-2024
https://dl.acm.org/doi/10.1145/3632620.3671115
Costaguta R(2015)Algorithms and Machine Learning Techniques in Collaborative Group FormationAdvances in Artificial Intelligence and Its Applications10.1007/978-3-319-27101-9_18(249-258)Online publication date: 10-Dec-2015
https://doi.org/10.1007/978-3-319-27101-9_18

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