Impact of Covid-19 on Teaching-Learning Perception of Faculties and Students of Higher Education in Indian Purview

Authors

  • Manish Dadhich School of Management, Sir Padampat Singhania University, Udaipur, Rajasthan, India https://orcid.org/0000-0001-6875-8502
  • Kamal Kant Hiran School of Engineering, Sir Padampat Singhania University, Udaipur, Rajasthan, India
  • Shalendra Singh Rao Department of BBE, MLS University, Udaipur, Rajasthan, India
  • Renu Sharma Department of Business Administration, MLS University, Udaipur, Rajasthan, India

DOI:

https://doi.org/10.13052/jmm1550-4646.1841

Keywords:

E-learning, Higher Education (HE), Remote Centres, Virtual Platform, Pandemic, Covid-19.

Abstract

The education system has been brought to a halt due to pandemics around the globe. This study outlines the effect of Covid-19 on the teaching-learning perception of faculties and students of higher education in India. The recent pandemic has provided an impetus for the improvements in teaching and implementation of virtual education. Given the lack of information about how long the pandemic will go on, the demand for the current crisis is a steady move to e-education. The authority has introduced several e-platforms with online shops, e-contents, and other online material. Combining conventional technology (radio, TV, landline phone) with mobile/web technologies would improve connectivity and versatility with all tools. The paper employed a quantitative method to examine the perceptions of teachers and students’ perceptions of e-teaching and e-learning methods. It underlined the application practice of online teaching-learning modes by considering 500 respondents. This study aims to give a holistic view of the ongoing online teaching-learning activities during the pandemic lockdown. The study also found no considerable difference between teacher/learner satisfaction during this academic disruption. Soil recommendations, managerial implications, future scope and conclusion can also be helpful for policymakers, academics, and content analytics to draw a plan of action for e-learning.

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Author Biographies

Manish Dadhich, School of Management, Sir Padampat Singhania University, Udaipur, Rajasthan, India

Manish Dadhich is PhD in Finance from University of Rajasthan, M. Com, UGC-NET (Commerce); MBA-FM, UGC-NET (Management), RPSC-SET (Management). He has 14++ years of teaching experience in various colleges, universities, and corporate sectors, a rare blend of academia, industry, corporate consultancy, and research. He is presently working as Assistant Professor in School of Management, Sir Padampat Singhania University, Udaipur. He has published more than 45 research papers in reputed international & national journals and presented more than 50 research papers in national and international conferences. He was awarded two gold medals in National Seminar for best research paper. He is a regular invitee for FDP, research workshops, orientation, and refresher course lectures in research. He is also awarded one Australian patent. Further, his main research work focuses on Finance, AI-ML, Economics, and Statistics.

Kamal Kant Hiran, School of Engineering, Sir Padampat Singhania University, Udaipur, Rajasthan, India

Kamal Kant Hiran works as an Assistant Professor, School of Engineering at the Sir Padampat Singhania University (SPSU), Udaipur, Rajasthan, India, and a Research Fellow at the Aalborg University, Copenhagen, Denmark. He has over 16 years of experience as an academician and researcher in Asia, Africa, and Europe. He worked in various positions as an Associate Professor, Head, Academics, Head of Department, Senior Lecturer, Assistant Professor and Visiting Faculty in India and abroad. He has several awards to his credit, such as the international travel grant for attending the 114th IEEE Region 8 Committee meeting in Warsaw, Poland; International travel grant for Germany from ITS Europe, Passau, Germany; Best Research Paper Award at the University of Gondar, Ethiopia and SKIT, Jaipur, India; IEEE Liberia Subsection Founder Award; Gold Medal Award in M. Tech (Hons.); IEEE Ghana Section Award – Technical and Professional Activity Chair; IEEE Senior Member Recognition, IEEE Student Branch Award, Elsevier Reviewer Recognition Award. He has published 35 scientific research papers in SCI/Scopus/Web of Science and IEEE Transactions Journal, Conferences, 2 Indian Patents, 1 Australian patent grant and 9 books with internationally renowned publishers. He is a reviewer and editorial board member of various reputed international journals in Elsevier, Springer, IEEE Transactions, IET, Bentham Science, and IGI Global. He is an active member in organizing many international seminars, workshops, and conferences. He has made several international visits to Denmark, Sweden, Germany, Poland, Norway, Ghana, Liberia, Ethiopia, Russia, Dubai, and Jordan for research exposures. His research interests focus on Cloud Computing, Machine Learning and Intelligent IoT.

Shalendra Singh Rao, Department of BBE, MLS University, Udaipur, Rajasthan, India

Shalendra Singh Rao completed his PhD from University of Rajasthan, Jaipur and currently working as Assistant Professor at Mohanlal Sukhadia University, Udaipur. He has published more than 15 research papers in reputed international & national journals. He presented more than 20 research papers in national and international conferences and authored one edited book. His main research work focuses on Education, Finance, Banking, Economics. He has four years of teaching and research experience.

Renu Sharma, Department of Business Administration, MLS University, Udaipur, Rajasthan, India

Rinu Sharma completed her PhD from Mohanlal Sukhadia University, Udaipur, and currently working as Assistant Professor at MLSU, Udaipur. She has published more than 10 research papers in reputed international & national journals and presented more than 15 research papers in national and international conferences. Her main research work focuses on Business Law, Management, HRM. She has four years of teaching and research experience.

References

Alqudah NM, Jammal HM, Saleh O, Khader Y, Obeidat N, Alqudah J. Perception, and experience of academic Jordanian ophthalmologists with E-Learning for undergraduate course during the COVID-19 pandemic. Ann Med Surg [Internet]. 2020;59(September):44–7. Available from: https://doi.org/10.1016/j.amsu.2020.09.014

Peters MA, Wang H, Ogunniran MO, Huang Y, Green B, Chunga JO, et al. China’s Internationalized Higher Education During Covid-19: Collective Student Autoethnography. Post digital Sci Educ. 2020;2(3): 968–88.

Balasopoulou A, Kokkinos P, Pagoulatos D, Plotas P, Makri OE, Georgakopoulos CD, et al. Symposium Recent advances and challenges in the management of retinoblastoma Globe – saving Treatments. BMC Ophthalmol. 2017;17(1):1.

N Kumar MD. An Analysis of Factors Affecting to Entrepreneur Development in Rajasthan. Int J Manag IT Eng. 2015;5(12):41–8.

Singh S, Rylander DH, Mims TC. Efficiency of Online vs. Offline Learning: A Comparison of Inputs and Outcomes. Int J Business, Humanit Technol [Internet]. 2012;2(1):93–8.

Smith C, Hoderi M, Mcdermott W. A Preliminary Study of Students Perception and Learning from Different Delivery Methods. Acad Educ Leadersh J. 2019;23(2):1C.

Ruiz JG, Mintzer MJ, Leipzig RM. The impact of e-learning in medical education. Acad Med. 2006;81(3):207–12.

Dadhich M, Hiran KK, Rao SS. Teaching–Learning Perception Toward Blended E-learning Portals During Pandemic Lockdown BT – Soft Computing: Theories and Applications. In: Sharma TK, Ahn CW, Verma OP, Panigrahi BK, editors.Springer Singapore; 2021. p. 119–29.

Murphy MPA. COVID-19 and emergency eLearning: Consequences of the securitization of higher education for post-pandemic pedagogy. Contemp Secur Policy. 2020;41(3):492–505.

Arkorful V, Abaidoo N. The role of e-learning, advantages, and disadvantages of its adoption in higher education. Int J Instr Technol Distance Learn. 2015;12(1):29–42.

Castro MDB, Tumibay GM. A literature review: efficacy of online learning courses for higher education institution using meta-analysis. Educ Inf Technol. 2019.

Dadhich M, Rao SS, Sethy S, Sharma R. Determining the Factors Influencing Cloud Computing Implementation in Library Management System (LMS): A High Order PLS-ANN Approach. Libr Philos Pract. 2021;6281.

Samsudeen SN, Mohamed R. University students’ intention to use e-learning systems: A study of higher educational institutions in Sri Lanka. Interact Technol Smart Educ. 2019;16(3):219–38.

González-Gómez D, Jeong JS, Airado Rodríguez D, Cañada-Cañada F. Performance and Perception in the Flipped Learning Model: An Initial Approach to Evaluate the Effectiveness of a New Teaching Methodology in a General Science Classroom. J Sci Educ Technol. 2016;25(3):450–9.

Soni NK, Patel TP. Quality Teaching & Higher Education System in India. Int J Sci Res Publ [Internet]. 2014;4(1):2250–3153. Available from: www.ijsrp.org

Otter RR, Seipel S, Graeff T, Alexander B, Boraiko C, Gray J, et al. Comparing student and faculty perceptions of online and traditional courses. Internet High Educ [Internet]. 2013; 19:27–35. Available from: http://dx.doi.org/10.1016/j.iheduc.2013.08.001

Naciri A, Baba MA, Achbani A, Kharbach A. Mobile Learning in Higher Education: Unavoidable Alternative during COVID-19. Aquademia. 2020;4(1): ep20016.

Favale T, Soro F, Trevisan M, Drago I, Mellia M. Campus traffic and e-Learning during COVID-19 pandemic. Comput Networks. 2020;176(4l).

Daniels MM, Sarte E, Cruz J Dela. Students’ perception on e-learning: A basis for the development of e-learning framework in higher education institutions. IOP Conf Ser Mater Sci Eng. 2019;482(1):2–8.

Tuma F, Nassar AK, Kamel MK, Knowlton LM. Students and faculty perception of distance medical education outcomes in resource-constrained system during COVID-19 pandemic. A cross-sectional study. Ann Med Surg [Internet]. 2021;62(December 2020):377–82. Available from: https://doi.org/10.1016/j.amsu.2021.01.073

Belhadi A, Kamble SS, Zkik K, Cherrafi A, Touriki FE. The integrated effect of Big Data Analytics, Lean Six Sigma and Green Manufacturing on the environmental performance of manufacturing companies: The case of North Africa. J Clean Prod. 2020;252(10):1–14.

Zhu X, Liu J. Education in and After Covid-19: Immediate Responses and Long-Term Visions. Postdigital Sci Educ. 2020;2(3):695–9.

Forson IK, Vuopala E. Online learning readiness: perspective of students enrolled in distance education in Ghana. Online J Distance Educ e-Learning [internet]. 2019;7(4):277–94. Available from: www.tojdel.net

Klement M, Dostál J. Students, and e-learning: A Longitudinal Research Study into University Students’ Opinions on e-learning. Procedia – Soc Behav Sci. 2014; 128:175–80.

Costicã L. The Contribution of the New Technologies to Learning Mathematics. Procedia – Soc Behav Sci. 2014; 128:240–5.

Atiyah JM, El Sherbiny MM, Guirguis SK. Evaluation of E-Learning Program versus Traditional Education Instruction for Undergraduate. Int J Adv Res Sci Eng Technol [Internet]. 2015;2(7):776–86. Available from: http://www.ijarset.com/upload/2015/july/9_IJARSET_jasim.pdf

Rakesh Kumar Birda and Manish Dadhich. Study of ICT and E-Governance Facilities in Tribal District of Rajasthan. ZENITH Int J Multidiscip Res. 2019;9(7):39–49.

Liguori E, Winkler C. From Offline to Online: Challenges and Opportunities for Entrepreneurship Education Following the COVID-19 Pandemic. Entrep Educ Pedagog. 2020;3(4):346–51.

Zuvic-Butorac M, Roncevic N, Nemcanin D, Radojicic Z. Blended E-Learning in Higher Education: Research on Students’ Perspective. Issues Informing Sci Inf Technol. 2011;8(1):409–29.

Rai L, Sun N, Cao M, Liu F. Comparison of Online and Offline Impact on MOOC Learning. 2016.

Popovici A, Mironov C. Students’ Perception on Using eLearning Technologies. Procedia – Soc Behav Sci [Internet]. 2015;180(November 2014):1514–9. Available from: http://dx.doi.org/10.1016/j.sbspro.2015.02.300

Yengin I, Karahoca A, Karahoca D. E-learning success model for instructors’ satisfactions in perspective of interaction and usability outcomes. Procedia Comput Sci [Internet]. 2011; 3:1396–403. Available from: http://dx.doi.org/10.1016/j.procs.2011.01.021

Wong L, Fong M. Student attitudes to traditional and online methods of delivery. J Inf Technol Educ. 2014;13(1):1–3.

Al-Azzam N, Elsalem L, Gombedza F. A cross-sectional study to determine factors affecting dental and medical students’ preference for virtual learning during the COVID-19 outbreak. Heliyon [Internet]. 2020;6(12): e05704. Available from: https://doi.org/10.1016/j.heliyon.2020.e05704

Sharma N, Dadhich M. Predictive Business Analytics: The Way Ahead. J Commer Manag Thought. 2014;5(4):652.

Elzainy A, El Sadik A, Al Abdulmonem W. Experience of e-learning and online assessment during the COVID-19 pandemic at the College of Medicine, Qassim University. J Taibah Univ Med Sci [Internet]. 2020;15(6):456–62. Available from: http://dx.doi.org/10.1016/j.jtumed.2020.09.005

Shim TE, Lee SY. College students’ experience of emergency remote teaching due to COVID-19. Child Youth Serv Rev [Internet]. 2020;119(July):105578. Available from: https://doi.org/10.1016/j.childyouth.2020.105578

Muthuprasad T, Aiswarya S, Aditya KS, Jha GK. Students’ perception and preference for online education in India during Covid -19 pandemic. Soc Sci Humanit Open. 2021;3(1):100101

Mishra L, Gupta T, Shree A. Online teaching-learning in higher education during lockdown period of COVID-19 pandemic. Int J Educ Res Open [Internet]. 2020;1(September):100012. Available from: https://doi.org/10.1016/j.ijedro.2020.100012

Dadhich M, Pahwa MS, Rao SS. Factor Influencing to Users Acceptance of Digital Payment System. Int J Comput Sci Eng. 2018;06(09):46–50.

Mahdizadeh H, Biemans H, Mulder M. Determining factors of the use of e-learning environments by university teachers. Comput Educ. 2008;51(1):142–54.

Daumiller M, Rinas R, Hein J, Janke S, Dickhäuser O, Dresel M. Shifting from Face-to-Face to Online Teaching During COVID-19: The Role of University Faculty Achievement Goals for Attitudes Towards This Sudden Change, and Their Relevance for Burnout/Engagement and Student Evaluations of Teaching Quality. Computers in Human Behavior. Elsevier Ltd; 2021. 106677 p. Available from: https://doi.org/10.1016/j.chb.2020.106677

Kumar Naresh, Dadhich Manish RSS. Determinant of Customers’ Perception towards RTGS and NEFT Services. Asian J Res Bank Financ. 2014;4(9):253–60.

Bernard RM, Borokhovski E, Schmid RF, Tamim RM, Abrami PC. A meta-analysis of blended learning and technology use in higher education: From the general to the applied. J Comput High Educ. 2014;26(1):87–122.

Ripoll V, Godino-Ojer M, Calzada J. Teaching chemical engineering to biotechnology students in the time of COVID-19: Assessment of the adaptation to digitalization. Educ Chem Eng [Internet]. 2021; 34:21–32. Available from: https://doi.org/10.1016/j.ece.2020.11.001

Dadhich M. An Analysis of Volatility of Macro Economic Variables on Gold Price. 2017;9(12):21–5.

Kkese E. McGurk effect and audio-visual speech perception in students with learning disabilities exposed to online teaching during the COVID-19 pandemic. Med Hypotheses [Internet]. 2020; 144:110233. Available from: https://doi.org/10.1016/j.mehy.2020.110233.

Dong C, Cao S, Li H. Young children’s online learning during COVID-19 pandemic: Chinese parents’ beliefs and attitudes. Child Youth Serv Rev [Internet]. 2020;118(September):105440. Available from: https://doi.org/10.1016/j.childyouth.2020.105440.

Ibrahim NK, Al Raddadi R, AlDarmasi M, Al Ghamdi A, Gaddoury M, AlBar HM, et al. Medical students’ acceptance and perceptions of e-learning during the Covid-19 closure time in King Abdulaziz University, Jeddah. J Infect Public Health [Internet]. 2021;14(1):17–23. Available from: https://doi.org/10.1016/j.jiph.2020.11.007

Dadhich M. Impact of Demonetization on Indian Economy. Int J Res Soc Sci. 2017;7(8):208–15.

Moser KM, Wei T, Brenner D. Remote teaching during COVID-19: Implications from a national survey of language educators. System [Internet]. 2021; 97:102431.

Wong L, Fong M. Student attitudes to traditional and online methods of delivery. J Inf Technol Educ. 2014;13(1):1–3.

Ruiz JG, Mintzer MJ, Leipzig RM. The impact of e-learning in medical education. Acad Med. 2006;81(3):207–12.

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Published

2022-03-21

How to Cite

Dadhich, M. ., Hiran, K. K. ., Rao, S. S. ., & Sharma, R. . (2022). Impact of Covid-19 on Teaching-Learning Perception of Faculties and Students of Higher Education in Indian Purview. Journal of Mobile Multimedia, 18(04), 957–980. https://doi.org/10.13052/jmm1550-4646.1841

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