A novel metaheuristic approach for collaborative learning group formation

Journal of Computer Assisted Learning - Tập 34 Số 6 - Trang 907-916 - 2018
Dragan Lambić1, Bojana Lazović2, Aleksandar Djenić3, Miroslav Marić3
1Faculty of Education, University of Novi Sad, Serbia
2Belgrade Business School—Higher Educational Institution for Applied Studies Serbia
3Faculty of Mathematics, University of Belgrade, Serbia

Tóm tắt

AbstractIn 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 108 first‐year university students of Belgrade Business School—Higher Educational Institution for Applied Studies. Experimental and control groups were divided into four‐member 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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Tài liệu tham khảo

Abrami P. C., 1995, Classroom connections: Understanding and using cooperative learning

10.4278/0890-1171-12.1.8

Bekele R.(2005).Computer‐assisted learner group formation based on personality traits. Ph.D. Dissertation University of Hamburg. Retrieved August 25 2010 fromhttp://www.sub.uni‐hamburg.de/opus/volltexte/2006/2759/

10.1145/937503.937505

Cohen E. G., 1997, Working for equity in heterogeneous classrooms: Sociological theory in practice

10.1177/014920639702300303

10.1016/S0923-4748(96)01006-5

Costa P. T.Jr&McCrae R. R.(1992).Revised NEO personality inventory and NEO five‐factor inventory professional manual. Psychological Assessment Resources Odessa FL.

10.1007/b101874

Gogoulou A. Gouli E. Boas G. Liakou E. &Grigoriadou M.(2007).Forming homogeneous heterogeneous and mixed groups of learners. Proceedings of the workshop personalisation in learning environments at individual and group level in conjunction with 11th international conference of user modeling 33–40.

10.1007/11774303_22

10.1177/1046496495264003

10.1007/978-1-4419-1665-5_3

10.1080/01421590050110768

Hsu J.‐L., 2008, A two‐dimensional process in explaining learners' collaborative behaviors in CSCL, Educational Technology & Society, 11, 66

10.1109/TLT.2010.17

Hwang G. J., 2008, An enhanced genetic approach to composing cooperative learning groups for multiple grouping criteria, Journal of Educational Technology & Society, 11, 148

Johansson F., 2004, The Medici effect: Breakthrough insights at the intersection of ideas, concepts, and cultures

10.1007/978-1-4899-3650-9_4

Johnson D. W., 1990, Perspectives on small group learning: Theory and practice, 119

Johnson D. W., 1998, Cooperation in the classroom

10.1037/0022-3514.65.4.681

10.1109/ICNN.1995.488968

10.1016/j.learninstruc.2011.01.001

Kreijns K., 2002, The sociability of computer‐supported collaborative learning environments, Educational Technology & Society, 5

10.1016/S0747-5632(02)00057-2

10.1016/j.compedu.2010.06.014

Maqtary N., 2017, Group formation techniques in computer‐supported collaborative learning: A systematic literature review, Technology, Knowledge and Learning, 1

Marić М., 2010, An efficient genetic algorithm for solving the multi‐level uncapacitated facility location problem, Computing and Informatics, 29, 183

10.1016/S0305-0548(97)00031-2

10.1016/j.compedu.2011.09.011

10.1111/jcal.12026

10.1146/annurev.psych.56.091103.070141

Reeves C., 1993, Modern heuristic techniques for combinatorial problems

10.1007/978-1-4757-4137-7

10.1016/j.chb.2015.01.020

10.1016/0747-5632(96)00003-9

10.1037/0033-2909.94.3.429

10.2307/1130612

10.5755/j01.itc.41.1.1115

Sternberg R. J., 1998, Thinking styles

10.1016/j.compedu.2014.12.002

Tanimoto S. L.(2007).The squeaky wheel algorithm: Automatic grouping of students for collaborative projects. Proceedings of the workshop personalisation in learning environments at individual and group level in conjunction with 11th international conference user modeling 79–80.

10.1177/105960117700200404

10.1016/j.chb.2006.02.008

10.1016/0883-0355(89)90014-1