Intentions to Use Artificial Intelligence: A Study on the University Students of Bangladesh

Abstract

The usage and development of artificial intelligence (AI) in higher education in Bangladesh have created new opportunities and difficulties. The internal architecture of higher education will undergo a significant shift in governance as a result of the use of AI in education. However, this study aims to investigate whether students of Bangladeshi universities have any plans to use various AI-related technologies. To get input, students were required to submit a survey on AI and intentions. The data were analyzed using Smart PLS 3 and the Statistical Package for Social Sciences (SPSS) version 24.0 considering the Unified Theory of Acceptance and Use of Technology (UTAUT), which served as the framework. We were able to successfully use a survey to validate our conceptual model and set of hypotheses by collecting data from 304 respondents. The results proved that the adoption of automated technologies, which have a strong correlation with collaboration, is positively connected to the antecedent variables, such as performance expectancy, social influence, and facilitating conditions. Additionally, this study has demonstrated that effort efficiency may not be as significant in forecasting a willingness to adopt new technology. The shortcomings of this study are: a global perspective is lacking, and the respondents don't have much expertise with AI. Researchers may carry out a longitudinal study with a larger sample size from universities in various nations. Additionally, it could include important model components and take into consideration various cultural contexts.