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Vol. 10 No. 2 (2025)

General Computing

Navigating AI in Higher Education: Examining Over-Reliance and Plagiarism among UiTM Tapah Students

https://doi.org/10.24191/jcrinn.v10i2.529

Published 2025-09-01

  • Nor Aslily Sarkam
    • ,
  • Nor Hazlina Mohammad
    • ,
  • Nurizatie Farhanim Saiful Lizam
    • ,
  • Nurul Ain Azmi
    • ,
  • Nadhira Yasmin Mazli
    • ,
  • Mizan Qamalia Mohd Dzahir
    • ,
  • Ros Amira Arisha Md Isa

Nor Aslily Sarkam
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perak Branch, Tapah Campus, 35400 Tapah Road, Perak, Malaysia.

Nor Hazlina Mohammad
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perak Branch, Tapah Campus, 35400 Tapah Road, Perak, Malaysia.

Nurizatie Farhanim Saiful Lizam
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perak Branch, Tapah Campus, 35400 Tapah Road, Perak, Malaysia.

Nurul Ain Azmi
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perak Branch, Tapah Campus, 35400 Tapah Road, Perak, Malaysia.

Nadhira Yasmin Mazli
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perak Branch, Tapah Campus, 35400 Tapah Road, Perak, Malaysia.

Mizan Qamalia Mohd Dzahir
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perak Branch, Tapah Campus, 35400 Tapah Road, Perak, Malaysia.

Ros Amira Arisha Md Isa
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perak Branch, Tapah Campus, 35400 Tapah Road, Perak, Malaysia.

Abstract

The rapid advancement of Artificial Intelligence (AI) has transformed various sectors, including higher education. This study explores the challenges and opportunities of AI tool adoption in higher education, focusing on student learning experiences and ethical considerations. By employing correlation and regression analysis, this research analyzes data from 357 students to examine key factors influencing AI adoption, including effort expectancy, performance expectancy, digital literacy, and behavioural intention. The findings suggest that digital literacy significantly affects students' acceptance of AI tools, reinforcing the importance of targeted educational interventions. While AI integration enhances learning efficiency and accessibility, ethical concerns such as data privacy, algorithmic bias, and academic integrity remain critical challenges. The study provides insights for educators, policymakers, and institutions to develop strategies that balance technological advancements with ethical responsibility, ensuring an inclusive and effective AI-driven educational environment. Future research should explore longitudinal impacts and cross-cultural variations in AI adoption.

Keywords

Artificial Intelligence, Higher Education, Digital Literacy, Academic Integrity, Technology Adoption

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