Demographic factors shaping artificial intelligence (AI) perspectives: Exploring their impact on University students' academic performance

Ting Tin Tin and Koh Yi Chor and Wong Jing Hui and Wong Yan Cheng and Chaw Jun Kit and Wan Nor Al-Ashekin Wan Husin and Ali Aitizaz and Lee Kuok Tiung and Sunday A. Afolalu and Umar Farooq Khattak (2024) Demographic factors shaping artificial intelligence (AI) perspectives: Exploring their impact on University students' academic performance. Pakistan Journal of Life and Social Sciences, 22 (2). pp. 1-16. ISSN 1727-4915

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Abstract

Undergraduate students in Malaysia have shown increasing usage of AI in their studies, notably ChatGPT, prompting a need to examine its effects on their academic outcomes. This research studies the impact of demographic factors of students’ understanding of AI knowledge and their attitudes towards AI and their overall academic performance. The study scrutinizes the role of ages, gender, and program study on student’s AI knowledge and attitude towards AI, aiming to comprehend their implication on academic performance. Data was gathered from a varied group of undergraduates via questionnaires, a sample size of 107 students and analyzed using statistical software such as SPSS and the Pearson correlation method. The PROCESS macro examines the mediation effect of AI knowledge and on the relationship between demographic elements and attitudes towards AI, while the path analysis method using AMOS software is employed to study sequential relationships among these variables. The study confirms a positive correlation between age and both AI knowledge and attitude towards AI. However, no significant correlations were observed between gender or program study and AI knowledge and attitudes towards AI. This research provides valuable insight into the impact of demographic elements on AI knowledge and attitude towards AI, and academic performance, potentially influencing student;s future academic and career trajectories in the AI era.

Item Type:	Article
Keyword:	Artificial Intelligence Higher education Attitude Academic performance Education
Subjects:	L Education > LB Theory and practice of education > LB5-3640 Theory and practice of education > LB2300-2430 Higher education > LB2341-2341.95 Supervision and administration. Business management Q Science > Q Science (General) > Q1-390 Science (General) > Q300-390 Cybernetics
Department:	FACULTY > Faculty of Social Sciences and Humanities
Depositing User:	ABDULLAH BIN SABUDIN -
Date Deposited:	16 May 2025 12:51
Last Modified:	16 May 2025 12:51
URI:	https://eprints.ums.edu.my/id/eprint/43763

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