A novel justice-based linear model for optimal learner group formation in computer-supported collaborative learning environments

Sadeghi, Hamid; Kardan, Ahmad A.

doi:10.1016/j.chb.2015.01.020

Cited by 40 publications

(40 citation statements)

References 33 publications

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“…Friendship between group members can facilitate the process of collaborative learning but can lead to weaker learning outcomes due to a lack of multiple perspectives. Good friends are not necessarily good learning partners (Sadeghi & Kardan, ). Also, there is a possibility that members of homogeneous groups exclude students with less developed social skills (Wang et al, ).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…Computational tools that help teachers in the formation of groups according to specific criteria are very important (Notari, Baumgartner, & Herzog, ). Recently, several studies have explored the computer‐based methods assisting in group formation procedure (Graf & Bekele, ; Hubscher, ; Hwang et al, ; Lin, Huang, & Cheng, ; Moreno, Ovalle, & Vicari, ; Sadeghi & Kardan, ; Tanimoto, ; Wang, Lin, & Sun, ).…”

Section: Introductionmentioning

confidence: 99%

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A novel metaheuristic approach for collaborative learning group formation

Lambić

Lazović

Djenić

et al. 2018

Computer Assisted Learning

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In this paper, a new approach for the formation of four-member collaborative learning groups is presented. Group formation is presented by the mathematical optimization problem. Based on the proposed approach and the variable neighbourhood search (VNS) algorithm, the application that solves the presented problem and provides the appropriate division into groups is created. The proposed approach considers the scores of a pretest, interpersonal relationships, and prosocial behaviour/openness skill of students. In order to validate our approach, an experiment was designed with 108first-year university students of Belgrade Business School-Higher Educational Institution for Applied Studies. Experimental and control groups were divided into fourmember groups. The experimental group was divided by using the proposed method and the control group by student selection and random selection. Multilevel analysis is used to determine whether there is a significant difference in learning outcomes between the two groups. The experimental results showed that students from the experimental group achieved significantly higher success than the students from the control group. In addition, computational results obtained with the proposed VNS algorithms are compared and verified with the results obtained by random (Monte Carlo) method.

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Section: Theoretical Backgroundmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A novel metaheuristic approach for collaborative learning group formation

Lambić

Lazović

Djenić

et al. 2018

Computer Assisted Learning

View full text Add to dashboard Cite

show abstract

“…A maioria dos trabalhos, sendo eles 42%, apresenta um método para formação de grupos baseado no contexto da interação dos estudantes em atividades colaborativas [33,42,40,18,22,16,23,19,30,24,37,28]. Em seguida, 34% dos trabalhos têm foco em otimização de algoritmos para formar os grupos [21,39,34,41,26,43,35,32,27,15]. Há também abordagens que buscam formar grupos com base no Estilo de Aprendizagem dos estudantes (11%) [20,31,17].…”

Section: Abordagens Para Formação De Grupos Encontradas Nos Trabalhosunclassified

“…O tipo de grupo por estilo de aprendizagem pode ser encontrado em 10% dos trabalhos analisados [20,31,17]. O tipo de grupos mistos, que combinam os perfis de grupos anteriores, são encontrados em 14% dos trabalhos analisados [39,26,18,15]. Outros trabalhos utilizam o tipo de grupo por nível de habilidade sócio-afetiva obtido de questionário aplicado aos alunos (3%) [32].…”

Section: Tipos De Grupos Encontrados Nos Trabalhos Primáriosunclassified

“…Diversas abordagens encontradas na literatura, em geral, propõem estratégias para formação de grupos homogêneos [23,19], heterogêneos [43] e mistos [39,26,18,15], utilizando diferentes crité-rios. Diante disso, este trabalho introduz um novo tipo de agrupamento, chamado de grupos complementares, que permite a complementaridade das características em grupos de estudantes.…”

Section: Tipos De Gruposunclassified

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