|
Vol.10, No.3, August 2021. ISSN: 2217-8309 eISSN: 2217-8333
TEM Journal
TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS Association for Information Communication Technology Education and Science |
Group Formation based on Students’ Learning Styles by Circular Genetic Algorithm
Anon Sukstrienwong
© 2021 Anon Sukstrienwong, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)
Citation Information: TEM Journal. Volume 10, Issue 3, Pages 1016-1021, ISSN 2217-8309, DOI: 10.18421/TEM103-02, August 2021.
Received: 23 March 2021. Revised: 11 July 2021.
Abstract:
Student group formation plays a critical role in promoting academic learning styles. Therefore, in this study, we employed a heuristic algorithm called the circular genetic algorithm (CGA) to form balanced groups of dissimilar students in terms of personal preferred learning styles. The benefit of balancing students’ learning styles is to assist students with diverse abilities to work collaboratively. With the assistance of our developed web application, members within a group contain mixed characteristics, while all formed groups of students are similar. In addition, an empirical case study was used to verify the feasibility and effectiveness of the proposed algorithm. Corresponding results verified by the analysis of variance (ANOVA) indicate that the algorithm can optimally allocate students in an efficient way.
Keywords –Circular Chromosome, Genetic algorithms, Group Formation, Learning styles, Web application. |
|
----------------------------------------------------------------------------------------------------------- ----------------------------------------------------------------------------------------------------------- |