Thematic and Sentiment Analysis of Learners’ Feedback in MOOCs




Thematic, sentiment, analysis, feedback, MOOC, Retention, factor


In recent years, sentiment analysis has gained popularity among researchers in various domains, including the education domain. Sentiment analysis can be applied to review the course comments in Massive Open Online Courses (MOOCs), which could enable course designers’ to easily evaluate their courses. The objective of this study is to explore the influential factors that affect the completion rate of MOOCs and unravel the sentiments of dropout learners by evaluating learners’ feedback. In the present study, sentiment analysis was performed using Python programming and NVivo tools on the feedback of the learners enrolled in three MOOCs entitled Introduction to Cyber Security, Digital Forensics and Development of Online Courses for SWAYAM, which was hosted on the SWAYAM platform ( Two instruments were used for data collection: (1) a structured questionnaire using a 5-point Likert scale was administrated using Google Forms — the questionnaires have also some additional open-ended questions — and (2) semi-structured interview schedules with the domain experts. The feedback was collected using Google Forms and a total of 324 responses were received between April 23, 2022 to May 31, 2022. The non-probability sampling method served as the sampling approach in the quantitative phase in this study. During analysis, the findings of the feedback uncovered important dimensions of some peculiar factors that may be responsible for retention of learners, i.e., content localisation, credit mobility and latest trend courses that were less explored in the earlier literature.

Author Biographies

Harsh Vardhan Pant, Ph. D. Scholar, Graphic Era Hill University

Harsh Vardhan Pant is an Assistant Professor at the Amrapali Institute, Haldwani, India and is pursuing a PhD in Computer Science from Graphic Era Hill University, Bhimtal Campus, India. The key area of his research is in the analytical study in a distance education domain such as MOOCs. Email:

Manoj Chandra Lohani, Graphic Era Hill University, Bhimtal, India

Manoj Chandra Lohani is a Professor and Head (CSE) and Campus Director, Graphic Era Hill University, Bhimtal, India. As well as a PhD in Computer Science, he holds an MS degree in Cyber Security and Cyber Laws. With more than 20 years in teaching and research, Prof. Manoj Chandra Lohani gives the Bhimtal Campus of GEHU both academic and administrative leadership. Email:

Jeetendra Pande, Uttarakhand Open University, Haldwani-263139, INDIA.

Jeetendra Pande is an Associate Professor, Computer Science, Uttarakhand Open University, Haldwani-263139, INDIA. Dr. Pande has published over 18 research papers in international journals, 15 papers in conference proceedings, and three refereed books. His research interests include cyber security, computer forensics, component-based software development, education technology, and Open Educational Resources. He has been involved in many projects as a Principal Investigator sanctioned by the government of India, government of Uttarakhand and Commonwealth Educational Media Center for Asia. He is a member of several academic and professional bodies in the area of computer science and distance educationEmail:



How to Cite

Pant, H. V., Manoj, M. C. L., & Jeetendra, J. P. (2023). Thematic and Sentiment Analysis of Learners’ Feedback in MOOCs. Journal of Learning for Development, 10(1), 38–54.



Research Articles
Received 2022-07-16
Accepted 2023-02-23
Published 2023-03-20