RELATIONSHIP BETWEEN AIR QUALITY, TRAFFIC, EDUCATION AND ONLINE WORKING IN EDUCATION INSTITUTIONS

Abstract

The Coronavirus disease 2019, commonly known as Covid-19, is a contagious illness that has had a widespread impact on human life globally. Instead of it contagious affects, there is significant changes in air pollution during the pandemic highlight which improves the air quality and reducing traffic accidents. This research examines the relationship between air quality, traffic, and online working in Saudi education institutions. The study aims to investigate the influence of these factors on the online learning environment and shed light on their interconnectedness. The research employed a quantitative analysis through correlation analysis, ANOVA, and multiple regression analysis. The findings indicate significant associations between air quality, traffic, and online working, highlighting their importance in shaping the engagement and effectiveness of online work and activities. Significant variations emerge from the mean scores obtained. For air quality, AQ2 shows notably lower agreement, while AQ4 has the highest agreement. Among traffic factors, T2 and T3 exhibit higher perceived influence. Within education factors, E2 garners substantial influence, contrasting with E5's comparatively lower impact. The reliability analysis yielded a coefficient of .874, indicating high internal consistency of the measurement instrument. The MRA demonstrates that the predictors (AQ, T, and E) account for 87% of the variation in the dependent variable (R-square = .870). This further supports the notion that the predictors significantly impact online working/doing activities online. The statistically significant F-value (F = 11.613, p < .05) indicates that the model has a significant overall fit and can be examined for its relationships.