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A Cyclic-genetic-algorithm Approach to Composing Heterogeneous Groups of Students

Journal: TEM JOURNAL - Technology, Education, Management, Informatics (Vol.5, No. 4)

Publication Date:

Authors : ;

Page : 467-474

Keywords : Cooperative learning; Cyclic genetic algorithm; Group formation; Heterogeneous groups; Peer assessment;

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In this paper, the proposed model is described to demonstrate how to mix students in a heterogonous way and equally balance groups in terms of the educational background and assessment of students. A cyclic genetic algorithm (CGA) is employed in the model to mimic the natural process of evolution to achieve the optimized solution. In order to keep population diversity in the CGA, a particular cycle shift operator and self-crossover operator are presented. The model can be used as a starting point for considering both educational background and peer assessments in the formation of heterogeneous groups of students.

Last modified: 2016-11-27 04:32:41