Analysis on the e-learning method in malaysia with AHP-VIKOR model

16Citations
Citations of this article
89Readers
Mendeley users who have this article in their library.

Abstract

A lot of educational institutions are facing the problem in conducting the physical classes due to COVID-19 pandemic recently. Therefore, most of the medium of teaching has been changed from a face-to-face method to online teaching. These changes may create some challenges to the students as well as the teachers or lecturers. In fact, different learning methods have their own strengths and weaknesses. Therefore, this study aims to analyze the preference of E-learning method among the undergraduate students based on multiple criteria. This study determines the priority of decision criteria in the selection of learning methods among the undergraduate students using Analytic Hierarchy Process-VIseKriterijumska Optimizacija I Kompromisno Resenje (AHP-VIKOR) model. The decision criteria that considered in this study are quality management system, information quality, flexibility, learning and teaching as well as attractiveness. Besides, blended learning, distance learning, and e-learning are identified as the alternatives of the learning methods as well as the most preferred learning method is determined in this study. The results of this study show that the most preferred learning method among undergraduate students is E-learning, followed by distance learning, and finally blended learning. Flexibility, information quality, and quality management system are ranked as the top three influential decision criteria. The significance of this study is to determine the most preferred learning method as well as the most influential decision criteria in the selection of learning methods among undergraduate students with AHP-VIKOR model.

Cite

CITATION STYLE

APA

Siew, L. W., Hoe, L. W., Fai, L. K., Bakar, M. A., & Xian, S. J. (2021). Analysis on the e-learning method in malaysia with AHP-VIKOR model. International Journal of Information and Education Technology, 11(2), 52–58. https://doi.org/10.18178/ijiet.2021.11.2.1489

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free