Facilitating Learner Centric Decision Making for Massive Open Online Courses

Authors

  • Yogesh Kumar
  • Anshul Bhardwaj
  • Nitasha Hasteer
  • K. M. Soni

DOI:

https://doi.org/10.16920/jeet/2022/v35i3/22095

Keywords:

MOOC, Multiple Criteria Decision Making, Analytical Hierarchical Process.

Abstract

Learners opt for MOOCs as it provides multiple benefits and the most important being that these courses can be accessed anytime and from anywhere with internet access. Learners can study their desired course at their convenience of time and desired pace. But as there are multiple options for them, they may get confused about selecting a course. This study highlights the findings of implementing the Analytical Hierarchical Process (AHP), a Multiple Criteria Decision Making (MCDM) technique used to choose the best option in case of multiple alternatives. Attributes were selected from literature and a survey was administered to learners. Responses were analyzed and courses were ranked based on their scores. From the analysis, we interpret that usefulness of the course in the University Curriculum is the most preferred criteria while selecting the course.

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Published

2022-01-01

How to Cite

Kumar, Y., Bhardwaj, A., Hasteer, N., & Soni, K. M. (2022). Facilitating Learner Centric Decision Making for Massive Open Online Courses. Journal of Engineering Education Transformations, 123–132. https://doi.org/10.16920/jeet/2022/v35i3/22095

Issue

Volume 35, Issue 3, January 2022

Section

Original Article
Crossref
Scopus
Google Scholar
Europe PMC

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