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Solving the Student Grouping Problem in e-Learning Systems Using Swarm Intelligence Metaheuristics
Journal article   Peer reviewed

Solving the Student Grouping Problem in e-Learning Systems Using Swarm Intelligence Metaheuristics

Hamad Alhunitah and Mohamed El Bachir Menai
Computer applications in engineering education, Vol.24(6), pp.831-842
01/11/2016
DOI: https://doi.org/10.1002/cae.21752

Abstract

Computer Science Computer Science, Interdisciplinary Applications Education & Educational Research Education, Scientific Disciplines Engineering Engineering, Multidisciplinary Science & Technology Social Sciences Technology
The student grouping problem (SGP) is NP-hard; however, obtaining approximate solutions is essential to collaborative work in e-learning. This paper explores swarm intelligence metaheuristics including particle swarm optimization (PSO), ant colony system (ACS), and artificial bee colony (ABC) to solve the student grouping problem and create heterogeneous groups. (C) 2016 Wiley Periodicals, Inc.

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