The Best Open and Distance Learning (ODL) Platforms for Mathematics Subjects Based on Student’s Perspective Using Fuzzy Analytical Hierarchy Process (FAHP)

Authors

  • Mohamad Amirul Bin Manam Faculty of Computer and Mathematical Sciences, Universiti Teknologi Mara, Cawangan Negeri Sembilan, Kampus Seremban, Seremban3 70300, Negeri Sembilan, Malaysia

Abstract

COVID-19 is an unprecedented crisis that has affected almost all industry players, including education. Many universities and institutions have decided to execute the Open and Distance Learning (ODL) approach as a replacement for face-to-face learning. Most educators and students use a variety of online learning platforms to achieve greater integration and communication. Students studying mathematics may find ODL challenging because this subject requires computations that are difficult to show using an online learning platform. In addition, it is challenging to determine the exact and suitable criteria for the ODL platforms because there are numerous aspects to consider. This paper presents a finding from research that implements the Fuzzy Analytical Hierarchy Process to rank and identify the best teaching platforms for mathematics subjects during ODL. The eight most popular platforms were evaluated according to six main criteria: design, functionality, accessibility, usability, security and privacy, and maintenance, followed by twenty-five sub-criteria. The result shows Google Classroom is the most preferred information platform and Google Meet is the most preferred video meeting platform by students for ODL.

Keywords:

COVID-19, Fuzzy Analytical Hierarchy Process, Open and Distance Learning

Downloads

Published

2022-12-31

How to Cite

Mohamad Amirul Bin Manam. (2022). The Best Open and Distance Learning (ODL) Platforms for Mathematics Subjects Based on Student’s Perspective Using Fuzzy Analytical Hierarchy Process (FAHP). Applied Mathematics and Computational Intelligence (AMCI), 11(2), 298–313. Retrieved from https://ejournal.unimap.edu.my/index.php/amci/article/view/116