Factors Influencing University Students’ E-Learning Adoption in Bangladesh During COVID-19: An Empirical Study with Machine Learning

Abstract

The present study investigates the factors that influence Bangladeshi university students’ behavior toward adopting the e-learning system during the COVID-19 emergency. A conceptual framework was developed by adopting the variables from several previously published studies to meet the aims of the study. The current study was conducted in the quantitative approach by performing a survey on 393 university students of Bangladesh. All the obtained data were analyzed by using SPSS, AMOS, and machine learning algorithms. The findings of the study indicate that facilitating condition, effort expectancy, performance expectancy, and social influence affect the behavioral intention of the students to adopt e-learning, and the current study provides both practical and theoretical contributions. Theoretically, it provides a research framework and the literature to analyze the factors that trigger the behavioral intention of Bangladeshi university students. Practically, the findings will assist the policymakers of the education industry in Bangladesh.