Online teaching-learning condition in West Bengal during the period of COVID-19
Abstract: The whole educational system from lower to higher level has been collapsed during the lockdown period due to the novel corona-virus disease-19; it affects not only India but the Whole World. The present study aim to identify the learning status, mode of learning and problems related to study during this lockdown amidst the covid-19 pandemic. The present study is descriptive & statistical in nature. The investigator prepared a tool with 13 items and distributed it among graduate student through online. There were 41 participants, responded “YES” or “NO” and collect the data through random sampling method. The investigator uses statistics of percentage to find out the response of student in online learning. The investigator finds number of problems such as lack of available of electric gadget for joining online class, most of them have no experience to operate the electronic gadget and most of the students are not familiar with online learning as they didn’t join online classes before COVID-19. The results were found that students have interest & sufficient confidence level in online learning and teachers were also cooperated with students during online class. It can be concluded that students want online teaching learning but faced a number of problems therefore they don’t support the online teaching learning.
"Online teaching-learning condition in West Bengal during the period of COVID-19", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 5, page no.690 - 694, May-2022, Available :https://ijsdr.org/papers/IJSDR2205123.pdf
Volume 7
Issue 5,
May-2022
Pages : 690 - 694
Paper Reg. ID: IJSDR_200525
Published Paper Id: IJSDR2205123
Downloads: 000347345
Research Area: Social Science and Humanities
Country: Dhulian/ Murshidabad , W.B, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
