Evaluating the impact of MOOC participation on skill development in autonomous engineering colleges
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.spl.07Keywords:
Massive open online courses (MOOCs), Higher education, Engineering colleges, Descriptive statistics, Regression analysis.Dimensions Badge
Issue
Section
License
Copyright (c) 2024 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The integration of massive open online courses (MOOCs) in higher education has introduced new avenues for skill development and academic achievement. This study investigates the impact of MOOC participation on students’ academic performance within autonomous engineering colleges. Specifically, we examine whether students who engage in MOOCs achieve higher academic outcomes compared to their peers who follow traditional coursework only. A sample of 450 engineering students from autonomous colleges was surveyed regarding their MOOC participation, academic performance, and engagement levels. To analyze the hypothesis that MOOC participation positively influences academic performance, multiple statistical methods were employed. Descriptive statistics provided an overview of student participation and performance trends, while a t-test was used to compare academic performance scores between MOOC participants and non-participants. Regression analysis was applied to determine if MOOC participation is a significant predictor of academic success. Additionally, a Chi-square test examined the association between MOOC engagement and academic achievement. The results indicate that MOOC participation positively correlates with academic performance, supporting the hypothesis that MOOCs can serve as a valuable supplement to traditional education. These findings underscore the potential of MOOCs to enhance learning outcomes in engineering education and suggest that autonomous colleges might benefit from promoting MOOC engagement as part of their curriculum.Abstract
How to Cite
Downloads
Similar Articles
- Nalini. S, Ritha. W, Sasitharan Nagapan, Optimal Inventory Policies for Perishable Products Under Demand and Lead Time Uncertainty , The Scientific Temper: Vol. 16 No. 09 (2025): The Scientific Temper
- S. Aasha, R. Sugumar, Lightweight Feature Selection Method using Quantum Statistical Ranking and Hybrid Beetle-Bat Optimization for Smart Farming , The Scientific Temper: Vol. 16 No. 09 (2025): The Scientific Temper
- P S Renjeni, B Senthilkumaran, Ramalingam Sugumar, L. Jaya Singh Dhas, Gaussian kernelized transformer learning model for brain tumor risk factor identification and disease diagnosis , The Scientific Temper: Vol. 16 No. 02 (2025): The Scientific Temper
- Atal Bihari Bajpai, Pragati Misra, Manjul Diman, Indra Rautela, Rajesh Rayal, Kamlesh Jeena, Manish Dev Sharma, Study on the Chemical Composition and Antioxidant Activity of Extracts from Wild and in vitro Raised Endangered Medicinal Plant Ephedra gerardiana , The Scientific Temper: Vol. 12 No. 1&2 (2021): The Scientific Temper
- Shantanu Kanade, Anuradha Kanade, Secure degree attestation and traceability verification based on zero trust using QP-DSA and RD-ECC , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
- Shobhit Shukla, Suman Mishra, Gaurav Goel, River flow modeling for flood prediction using machine learning techniques in Godavari river, India , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Shruti Bhonsle, Vikrantkumar Dasani, M N Parmar, Digital Campaigns and Behaviour Change Communication for Organ Donation , The Scientific Temper: Vol. 17 No. 03 (2026): The Scientific Temper
- N. Yogalakshmi, Awareness on environmental issues and sustainable practices among college students - with special reference to Chennai city region , The Scientific Temper: Vol. 16 No. Spl-2 (2025): The Scientific Temper
- Amanda Q. Okronipa, Jones Y. Nyame, Exploring the effect of perceived empathy and social presence on the intention to use AI in higher education , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Sanskriti Gandhi, Usha Asnani, Srivalli Natarajan, Chinmay Rao, Richa Agrawal, Evaluation of stability of fixation using conventional miniplate osteosynthesis in comminuted and non-comminuted Le Fort I, II, III fractures – A dynamic finite element analysis , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
<< < 15 16 17 18 19 20 21 22 23 24 > >>
You may also start an advanced similarity search for this article.

