JOURNAL ARTICLE

Facilitating Learner Centric Decision Making for Massive Open Online Courses

Yogesh KumarAnshul BhardwajNitasha HasteerKrishan Soni

Year: 2022 Journal:   Journal of Engineering Education/Journal of engineering education transformations/Journal of engineering education transformation Vol: 35 (3)Pages: 123-132

Abstract

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. Keywords : MOOC, Multiple Criteria Decision Making, Analytical Hierarchical Process

Keywords:
Multiple-criteria decision analysis Pace Computer science Analytic hierarchy process Process (computing) The Internet Curriculum Course (navigation) Knowledge management Multimedia Operations research World Wide Web Psychology Engineering Pedagogy

Metrics

2
Cited By
0.76
FWCI (Field Weighted Citation Impact)
13
Refs
0.73
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Educational and Technological Research
Physical Sciences →  Computer Science →  Information Systems
Technology-Enhanced Education Studies
Social Sciences →  Social Sciences →  Education
Online Learning and Analytics
Physical Sciences →  Computer Science →  Computer Science Applications

Related Documents

JOURNAL ARTICLE

Learner-Centric Hybrid Filtering-Based Recommender System for Massive Open Online Courses

Kaur RamneetDeepali GuptaM. Theradi Mani

Journal:   International Journal of Performability Engineering Year: 2023 Vol: 19 (5)Pages: 324-324
JOURNAL ARTICLE

Learner Groups in Massive Open Online Courses

Skand AroraManav GoelA. Sai SabithaDeepti Mehrotra

Journal:   American Journal of Distance Education Year: 2017 Vol: 31 (2)Pages: 80-97
JOURNAL ARTICLE

Learner Satisfaction with Massive Open Online Courses

Bahaa G. Gameel

Journal:   American Journal of Distance Education Year: 2017 Vol: 31 (2)Pages: 98-111
JOURNAL ARTICLE

Massive Open Online Courses: designing for the unknown learner

Hamish MacleodChristine SinclairJeff HaywoodAmy Woodgate

Journal:   Teaching in Higher Education Year: 2015 Vol: 21 (1)Pages: 13-24
BOOK-CHAPTER

Massive Open Online Courses

Nada DabbaghAngela D. BensonAndré R. DenhamRoberto JosephMaha Al‐FreihGhania ZgheibHelen FakeZhetao Guo

Springer briefs in educational communications and technology Year: 2015 Pages: 9-13
© 2026 ScienceGate Book Chapters — All rights reserved.