Users’ Preference on Online Learning Platform Using Fuzzy Analytical Hierarchy Process

Abstract

Online learning refers to the utilization of online resources for learning activities and the substitution of internet-based virtual sessions. Although various online learning platforms are available, both teachers and students often find it challenging to determine which platform most effectively facilitates learning. This research aims to choose the best online learning platform using the Fuzzy Analytic Hierarchy Process (FAHP) method, which integrates the fuzzy logic and Analytic Hierarchy Process (AHP) approaches. The objective is to weigh and rank alternative platforms based on seven criteria from five decision-makers, who are lecturers from UiTM Cawangan Terengganu experienced in using all three online learning platforms. The findings show that platform compatibility, internet stability, and system quality are the key factors influencing platform preference. Overall, Google Classroom appeared as the most preferred online learning platform (0.7418), followed by Microsoft Teams (0.1922), while UFuture was the least favoured (0.0660). The result will help educators to choose which online learning platform to use during online classes. The survey also provides insights into users’ perceptions of online learning.