Extending the TAM model to evaluate the impact of online learning on students' knowledge and career growth during COVID-19 Online publication date: Fri, 13-Oct-2023
by K. Ravishankar; N. Akbar Jan; A.K. Subramani; Rajasekhar David
International Journal of Management in Education (IJMIE), Vol. 17, No. 6, 2023
Abstract: The study aims to evaluate the impact of online learning on students' knowledge and career growth during the COVID-19 pandemic. This study extends Technology Acceptance Model (TAM) by adding e-learning access, trust, students' knowledge and career growth as external variables. This research is quantitatively based and administered through an online survey and a judgmental sampling technique. This survey was conducted among 912 college and university students across India concerning online learning, which was mandated during COVID-19. The data analysis was performed using PLS-SEM. Through Q square values using PLS-SEM analysis, the study found that the present developed model represents strong predictive relevance. Hence, the present model can be generalised in different contexts ahead in future. Among the constructs, intention to use online learning (f² = 0.396) discloses a strong effect size on the usage of online learning improves the students' knowledge and career growth.
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