Understanding the impact of online teaching on students’ learning and performance: a post-pandemic analysis

ABSTRACT

During the COVID-19 pandemic period of almost two years, online teaching was adopted by Higher Educational Institutes (HEIs) mostly as an emergency measure to maintain endurance in teaching-learning activities in academics. Although a lot of research works have focussed on the teaching-learning strategies deployed during the pandemic period, the post-pandemic era remains rather unexplored with formal attempts. The objective of this study is to perform a post-pandemic analysis of online teaching on the students’ learning and their academic performance. For the first time for the post-pandemic analysis, a novel and formal theoretical model is proposed, designed, developed, and tested by using the survey method comprising six constructs, Confirmatory Factor Analysis (CFA) and path analysis with Structural Equation Modelling (SEM). This quantitative research was conducted for the students of (HEIs) who have experienced e-teaching using digital technologies. The main contributions of the paper include the findings for (a) improving the scenario of online teaching-learning from the students’ learning perspective (b) enlightening teachers on understanding the students’ behaviour better and accordingly aligning their teaching approaches, and (c) planning of evaluations for enhancing the academic performance of the students. This research will provide the future directions to the technology-mediated teaching-learning.

KEYWORDS:

• Learning abilities
• learning engagement
• online teaching
• self-directed learning
• technical self-efficacy

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Sarika Sharma

Sarika Sharma, PhD (Management), is a professor at the Symbiosis Institute of Computer Studies and Research (SICSR), Symbiosis International (Deemed University), Pune, India. She is a member of board of studies for the faculty of computer studies at the university. She has teaching and research experience of 20 years. She is the author of six books on data mining for CRM, project risk management, and information technology management. She has more than 50 research publications to her credit in international and national journals of repute and has presented her research work at various conferences. She is a research supervisor for PhD and four of her students got the degree awarded. She is a life member of professional bodies like the Indian Science Congress Association.

Jatinderkumar R. Saini

Jatinderkumar R. Saini received his PhD degree in 2009. He is currently working as a professor and the Director at the Symbiosis Institute of Computer Studies and Research (SICSR), Symbiosis International (Deemed University), Pune, India. Formerly, he has also worked at one of only four licensed Certifying Authorities of the Ministry of Information Technology, Government of India. He has 240+ research publications in various journals and conferences of international repute, 1400+ citations in 50+ countries, an h-index of 20, and an i10 index of 45. Under his supervision, 11 candidates have been awarded Ph.D. degrees. He has reviewed more than 1000 papers, including 100+ papers alone for journals of ACM/IEEE Transactions. He has been included in the top 1% of computer science reviewers in the world by WoS. He has completed more than 50 certifications from different organizations, including IBM, Google, MIT, Stanford University, University of Texas, Johns Hopkins University, and Cambridge University. He has been working as an active Executive Committee Member in various capacities with chapters of different professional bodies, such as CSI, IETE, ISRS, and ISG. He secured Gold Medals and first rank at the university level in all years of post-graduation, preceded by a Silver Medal in the final year of graduation. He is a recipient of the DAAD Fellowship from Germany.