Driving Factors of Undergraduates’ Intention to Use of AI-Based Academic Tools With the Mediating Role of User’s Attitude

Abstract

Economic development does not happen accidentally; it happens through future potentials who are led by quality education in the respective country. If so, in this artificial age, Future students' profiles need to be innovative and creative by prioritizing learning skills with the aid of quality education that is powered by AI (Rampersad, 2020). The present study was carried out to delve into the determinants factors of undergraduates’ intention to use AI-based academic tools with the mediating role of user’s attitude to using them in the context of the Faculty of Commerce & Management Studies (FCMS), University of Kelaniya, Sri Lanka. To achieve the research objectives, the researcher tested the extended version of the TAM technical model: Perceived Usefulness and Perceived ease of use are independent variables while Attitude to use is used as a mediator by excluding other determinants. However, the findings figured out that students’ intention is shaped by both internal and external factors and then the influence of social factors needs to be enhanced further to ensure effective usage of relevant technology in education