Determinants of University Students’ Satisfaction with AI-Based Tools: An Empirical Study from Bangladesh

Abstract

Artificial Intelligence (AI) is increasingly integrated into students’ academic and non-academic lives. The paper examines the predictors of student satisfaction with AI-based tools based on technological, ethical, and experiential aspects in Bangladesh, addressing a significant gap in evidence from developing countries. The quantitative research design was used and data were collected from 407 students through structured online questionnaires. The effect of trustworthiness, quality information, ease of use, service quality, security, creativity, time-saving, and academic engagement on overall satisfaction was analyzed through logistic regression analysis, adjusting the demographic and purpose-of-use factors. Trustworthiness, information reliability, ease of use, time efficiency and academic engagement significantly influenced satisfaction, highlighting the importance of ethical trust and psychological engagement while demographic characteristic had limited effect. The findings provide novel evidence from Bangladesh and offer practical guidance for educators, developers, and policymakers to promote responsible and effective AI adoption in education.