Automatic Group Organization for Collaborative Learning Applying Genetic Algorithm Techniques and the Big Five Model

Revelo Sánchez, Oscar; Collazos, César A.; Redondo, Miguel A.

doi:10.3390/math9131578

Open AccessArticle

Automatic Group Organization for Collaborative Learning Applying Genetic Algorithm Techniques and the Big Five Model

by

Oscar Revelo Sánchez

^1,*

,

César A. Collazos

²

and

Miguel A. Redondo

³

¹

Galeras.NET Research Group, Universidad de Nariño, San Juan de Pasto 52001, Colombia

²

IDIS Research Group, Universidad del Cauca, Popayán 190001, Colombia

³

CHICO Research Group, Universidad de Castilla-La Mancha, 13071 Ciudad Real, Spain

^*

Author to whom correspondence should be addressed.

Mathematics 2021, 9(13), 1578; https://doi.org/10.3390/math9131578

Submission received: 29 March 2021 / Revised: 29 June 2021 / Accepted: 1 July 2021 / Published: 5 July 2021

(This article belongs to the Special Issue Advances in Artificial Intelligence and Statistical Techniques with Applications to Health and Education)

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Abstract

In this paper, an approach based on genetic algorithms is proposed to form groups in collaborative learning scenarios, considering the students’ personality traits as a criterion for grouping. This formation is carried out in two stages: In the first, the information of the students is collected from a psychometric instrument based on the Big Five personality model; whereas, in the second, this information feeds a genetic algorithm that is in charge of performing the grouping iteratively, seeking for an optimal formation. The results presented here correspond to the functional and empirical validation of the approach. It is found that the described methodology is useful to obtain groups with the desired characteristics. The specific objective is to provide a strategy that makes it possible to subsequently assess in the context what type of approach (homogeneous, heterogeneous, or mixed) is the most appropriate to organize the groups.

Keywords: collaborative learning; collaborative work; genetic algorithms; group formation; personality traits

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MDPI and ACS Style

Revelo Sánchez, O.; Collazos, C.A.; Redondo, M.A. Automatic Group Organization for Collaborative Learning Applying Genetic Algorithm Techniques and the Big Five Model. Mathematics 2021, 9, 1578. https://doi.org/10.3390/math9131578

AMA Style

Revelo Sánchez O, Collazos CA, Redondo MA. Automatic Group Organization for Collaborative Learning Applying Genetic Algorithm Techniques and the Big Five Model. Mathematics. 2021; 9(13):1578. https://doi.org/10.3390/math9131578

Chicago/Turabian Style

Revelo Sánchez, Oscar, César A. Collazos, and Miguel A. Redondo. 2021. "Automatic Group Organization for Collaborative Learning Applying Genetic Algorithm Techniques and the Big Five Model" Mathematics 9, no. 13: 1578. https://doi.org/10.3390/math9131578

APA Style

Revelo Sánchez, O., Collazos, C. A., & Redondo, M. A. (2021). Automatic Group Organization for Collaborative Learning Applying Genetic Algorithm Techniques and the Big Five Model. Mathematics, 9(13), 1578. https://doi.org/10.3390/math9131578

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

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Automatic Group Organization for Collaborative Learning Applying Genetic Algorithm Techniques and the Big Five Model

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