Causal Factors Affecting Efficiency of Online Teaching during COVID 19 of Teachers at Muban Chombueng Rajabhat University

Abstract

The research aimed to investigate: 1) The causal factors of online teaching during the Covid-19 pandemic for teachers at Muban Chombueng Rajabhat University. 2) The efficiency of online teaching during the Covid-19 pandemic for teachers at Muban Chombueng Rajabhat University. 3) The causal factors affecting the efficiency of online teaching during the Covid-19 pandemic. The study involved 239 participants, including teachers and students from 10 faculties, who completed a questionnaire in Google Form. Statistical analyses included percentage calculations, mean, standard deviation, and stepwise multiple regression analysis. The results revealed: 1) The overview of causal factors affecting online teaching during the Covid-19 pandemic showed a high level. The factors ranked from highest to lowest were teachers, media, information, students, infrastructure, technology, regulations, and teaching methods, with teaching methods falling in the middle range. 2) The overall efficiency of online teaching during the Covid-19 pandemic, as well as its aspects, were rated at a high level. The aspects, from highest to lowest, were learning management, learning achievement, learning atmosphere, satisfaction of the learners, and evaluation. 3) The causal factors affecting the efficiency of online teaching during the Covid-19 pandemic were found to be the overall causal factors and regulations. These factors entered the regression equation respectively. The predictive multiple correlation coefficient was 0.982, and the prediction coefficient (R^2) was 0.963. This indicates that the two variables together could predict the efficiency of online teaching for teachers at Muban Chombueng Rajabhat University during the Covid-19 pandemic with 96.30 percent accuracy. The standard error in prediction was 0.08162, demonstrating that both the overall causal factors and regulations significantly influence the efficiency of online teaching during the Covid-19 pandemic at Muban Chombueng Rajabhat University. The regression analysis equation can be represented as follows: Ŷ_tot = .285 + .764 (X_tot) + .302 (X₉)