ARTIFICIAL INTELLIGENCE IN EDUCATION: EVIDENCE FROM MALAYSIAN ACCOUNTING STUDENTS

Abstract

Artificial Intelligence (AI) has significantly permeated in every sphere of human life, specifically education. To date, although developed nations have extensively embedded it in teaching and learning, emerging economies are still in the infancy stages, widening the gaps in educational digital performance. Intrigued to bridge these gaps, the researchers aim to investigate what factors would influence students to adopt AI in education within the Malaysian context. Following the Unified Theory of Acceptance and Use of Technology (UTAUT), the researchers predict that performance expectancy, effort expectancy, social influence, and facilitating conditions would significantly impact students' adoption of AI. Additionally, they predicted that a growth mindset would also play a significant role. Based on 200 data sets, the multiple regressions of PLS-SEM 3 confirmed that all predicted variables are significantly related to students' adoption of AI. The results contribute competent insights to policymakers, higher educational institutions, and academicians in formulating interventions for accelerating the adoption of AI among higher educational institutions. Hence, embracing AI is aligned with the aspiration of the United Nations’ sustainable development goals for ensuring inclusive, equitable, and quality education for all by 2030.