Towards a Model: Exploring Fatigue Factors in ZOOM Online Classes

The ascent of Zoom as the predominant platform for facilitating online classes signifies a notable paradigm shift in the domain of remote education. Its rapid adoption can be attributed to several factors, such as its intuitive interface, robust technological infrastructure, and adaptability across various educational contexts. Against the backdrop of the global pandemic, which has mandated a widespread transition to remote learning, Zoom has emerged as a pivotal tool for educators endeavoring to transcend geographical constraints and engage with students in virtual classrooms. Its pervasive presence has reshaped pedagogical approaches, facilitating interactive and collaborative learning experiences irrespective of geographical boundaries. This study examines the correlations between visual fatigue, physical fatigue, mental fatigue, tech-savvy behavior, and online learning among 724 teachers in Karnataka conducting online classes through Zoom. The survey, administered from January to June 2023, utilized purposive sampling. Rigorous data analysis comprised factor loadings, Cronbach's alpha, Rho_A, CR, HTMT ratio, Fornell-Larcker Criterion, assessments of multicollinearity, R square, path coefficients, and predictive validity, employing Smart PLS software.