Vol. 12 No. 3 (2022): Vol 12, Iss 3, Year 2022
Articles

Students perception regarding online learning during the covid-19 pandemic

Karthick R
Department of Industrial Engineering and Management, JSS Campus, JSS Academy of Technical Education, Dr. Vishnuvardhan Road, Mylasandra post, Bangalore – 560060, Visvesvaraya Technological University, Belagavi, Karnataka, India.
Velmurugan D
Department of Industrial Engineering and Management, JSS Campus, JSS Academy of Technical Education, Dr. Vishnuvardhan Road, Mylasandra post, Bangalore – 560060, Visvesvaraya Technological University, Belagavi, Karnataka, India.
Sindhu Ravichandran
Department of Industrial Engineering and Management, JSS Campus, JSS Academy of Technical Education, Dr. Vishnuvardhan Road, Mylasandra post, Bangalore – 560060, Visvesvaraya Technological University, Belagavi, Karnataka, India.
Rashmi S
Department of Industrial Engineering and Management, JSS Campus, JSS Academy of Technical Education, Dr. Vishnuvardhan Road, Mylasandra post, Bangalore – 560060, Visvesvaraya Technological University, Belagavi, Karnataka, India.
Published April 19, 2022
How to Cite
R, K., D, V., Sindhu Ravichandran, & S, R. (2022). Students perception regarding online learning during the covid-19 pandemic. Journal of Management and Science, 12(3), 149-158. Retrieved from https://jms.eleyon.org/index.php/jms/article/view/592

Abstract

With the abrupt change across the globe spurred on by the novel coronavirus, online learning has emerged as a potential alternative for the worldwide education sector. Prior to COVID-19, amidst the surge in popularity of online learning with the advent of the internet and technological advances, students preferred conventional face-to-face learning over online learning. The objective of this research was to see how students perceived online learning during the COVID-19 epidemic. Out of the 105 responses obtained through an online survey, we were able to establish a significant association between demographical characteristics with the factors of student perception with the use of Chi-Square analysis. We used Correlation and Regression analysis to see how the independent factors of Online experience, interaction, learning design, tools and technology, social presence, and attitude related to the dependent variable of Student Perception. The findings revealed that interaction was highly correlated with students' perceptions and that it was also the most essential element among the others.

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