Factors affecting Malaysian universities students’ intention to use Artificial Intelligence (AI)

Chang, Ching Yee and Lim, Chai Yin and Loo, Chia Yuan (2025) Factors affecting Malaysian universities students’ intention to use Artificial Intelligence (AI). Final Year Project, UTAR.

PDF Download (3109Kb)

Abstract

With its enormous potential to improve academic support, teaching, and learning, artificial intelligence (AI) is being increasingly used in higher education. However, there is still uncertainty over students' willingness to use AI tools, particularly in the Malaysian higher education environment. Previous research on AI in higher education has mostly focused on particular institutional types, such as public or private institutions, without taking into consideration both contexts. This research aims to investigate the factors that impact Malaysian university students' intention to use AI, with a particular emphasis on perceived usefulness, perceived ease of use, social influence, and habit. A structured questionnaire was used in a quantitative study design and given to students at public and private universities in Kuala Lumpur, Selangor, Perak, Penang, and other areas. Moreover, 384 valid responses have been collected via non-probability sampling. According to the results, students' intention to use AI is significantly positively impacted by perceived ease of use and habit, but not by perceived usefulness or social influence. These findings provide insightful information that helps educational institutions and AI developers better customize AI-related projects that seek to improve student engagement and promote the successful integration of cutting-edge technologies in higher education. Keywords: artificial intelligence, student intention, perceived usefulness, perceived ease of use, social influence, habit, public university, private universities Subject Area: L7-991 Education (General)

Actions (login required)