Artificial Intelligence in University Learning: Student Usage Patterns, Perceived Impact, and Ethical Considerations
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Abstract
Background and Aim: This study investigates the impact of artificial intelligence (AI) tools on students' learning experiences in higher education, emphasizing awareness levels, usage patterns, perceived learning outcomes, attitudes towards AI integration, and related challenges.
Materials and Methods: A total of 200 students from Universiti Teknologi MARA, representing diploma, undergraduate, and postgraduate programmes, participated in a structured survey. The research instrument consisted of four principal dimensions: (1) awareness and utilization of AI tools, (2) perceived influence on learning, (3) attitudes towards AI in higher education, and (4) challenges and ethical considerations.
Results: The results show that students were very familiar with AI applications and often use tools like generative AI, language models, and productivity applications for academic purposes. Students generally reported positive learning impacts, including enhanced understanding of complex topics, greater efficiency in academic tasks, improved motivation, and better management of workload. Respondents expressed strong acceptance of AI as a learning support tool and acknowledged its utility, indicating similar positive attitudes toward its adoption. Despite these benefits, students also identified concerns related to accuracy, bias, plagiarism risks, and the need for clearer institutional guidelines to support responsible use.
Conclusion: Overall, the study shows how AI is increasingly being incorporated into academic settings at universities and emphasizes how crucial it is to improve ethical governance and AI literacy in order to guarantee successful and responsible adoption.
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