Exploring the impact of artificial intelligence integration in higher education: perspectives from physics and industrial physics undergraduates at Universiti Teknologi MARA

Ikhsan, Nurul Izrini (2025) Exploring the impact of artificial intelligence integration in higher education: perspectives from physics and industrial physics undergraduates at Universiti Teknologi MARA. GADING (Online) Journal for the Social Sciences, 28 (2): 11. pp. 154-165. ISSN e-ISSN 2600-7568

Official URL: https://gadingssuitm.com/index.php/gadingss/articl...

Identification Number (DOI): 10.24191/gading.v28i2.616

Abstract

Despite the rapid integration of numerous artificial intelligence-driven tools (chatbots, automated feedback systems, and intelligent tutoring platforms), a comprehensive understanding of students’ perspectives is necessary to ensure their effective and ethical deployment. Therefore, this study examined the impact of artificial intelligence (AI) integration on undergraduate educational experiences in higher education. The assessment included undergraduates from the Bachelor of Science (Honours) Industrial Physics and Bachelor of Science (Honours) Physics programmes at the Faculty of Applied Sciences, Universiti Teknologi MARA, Shah Alam. Data collection was then conducted via a Google Forms survey with 30 participants. This process yielded information concerning the participants’ experiences, perceptions, and concerns regarding AI in their academic pursuits. Despite the participants’ perceiving AI as a valuable support tool that could enhance learning engagement, flexibility, and feedback quality, concerns were expressed concerning academic integrity, reduced human interaction, and overreliance on technology. Consequently, this study could offer crucial information regarding the pedagogical effectiveness and learner-centred nature of AI integration in higher education based on students’ viewpoints, enabling them to influence the future of AI in education.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Ikhsan, Nurul Izrini
izrini@uitm.edu.my
Subjects: L Education > LB Theory and practice of education > Educational technology
L Education > LB Theory and practice of education > Higher Education
Divisions: Universiti Teknologi MARA, Pahang > Jengka Campus
Journal or Publication Title: GADING (Online) Journal for the Social Sciences
UiTM Journal Collections: UiTM Journals > Gading Journal for the Social Sciences (GADINGSS)
ISSN: e-ISSN 2600-7568
Volume: 28
Number: 2
Page Range: pp. 154-165
Keywords: Artificial intelligence, Higher education, Student perception, Digital learning, Educational technology
Date: 2025
URI: https://ir.uitm.edu.my/id/eprint/127193
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