A Study on Commerce Students Attitude towards Online Classes during Lockdown Period (With Special Reference to Madurai City)

  • M Parimala Associate Professor, Department of Commerce, Lady Doak College, Madurai, Tamil Nadu, India
  • V Gayathri Assistant Professor, Department of Commerce, Mangayarkarasi College of Arts and Science for Women, Madurai, Tamil Nadu, India https://orcid.org/0000-0003-4307-5195
Keywords: e – Learning, Students attitude, Online classes, COVID-19, Satisfaction Level, Lockdown Period

Abstract

The COVID -19, lockdown period teaches many things to each one of us; all “WH” questions are answered to realize our self like Who we are? How is our life need to be? Which is necessary for life and What are all not important that much. To find the answer to any “WH” questions, critical thinking and knowledge are much important. This lockdown help to unlock our wisdom at the global level. Many of us got a chance to expose talents and skills which is hidden inside of them. Enrolled in online courses, attended webinars which keep each of the active and enthuse to gain more and more knowledge. Arts students get a chance to study basic computer language online courses. Teaching through virtual mode has become the requisite part of educational institutions around the world due to the pandemic crisis of COVID-19. The present study aims to determine the student’s attitude towards e-learning, primary data and secondary data were used, primary data has been collected from II and III Year Commerce Students of Lady Doak College and Ambika College of Madurai. By using Convenient Sampling techniques, 120 respondents’ datas’ are collected with the help of a structured questionnaire. Through e-mail ID, a Google form link was shared to collect the datas’. Tools like Chi-Square, ANOVA, Correlation, t-test and Likert Scaling methods are used to analyze the attitude of the students towards online classes. Even though advantages of e-learning, it would not be meaningful if learners don’t adapt to it.

Published
2021-04-01
Statistics
Abstract views: 7 times
PDF downloads: 7 times
Section
Articles