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

• Published in: Interactive learning environments 2024-10, Vol.32 (9), p.5089-5105
• Main Authors: Sharma, Sarika, Saini, Jatinderkumar R.
• Format: Article
• Language: English
• Subjects: Academic achievement; Factor analysis; Fatigue tests; Impact analysis; Influence of Technology; Learning; Learning abilities; Learning Activities; learning engagement; Learning Strategies; Online instruction; online teaching; Pandemics; Path Analysis; Performance evaluation; self-directed learning; Students; Teaching; technical self-efficacy; Technology assessment
• ISSN: 1049-4820; 1744-5191
• DOI: 10.1080/10494820.2023.2209787

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.