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Navigating the Use of AI in Engineering Education Through a Systematic Review of Technology, Regulations, and Challenges
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Author(s): Novrindah Alvi Hasanah (Universitas Islam Negeri Maulana Malik Ibrahim Malang, Indonesia), Miladina Rizka Aziza (Universitas Islam Negeri Maulana Malik Ibrahim Malang, Indonesia), Allin Junikhah (Universitas Islam Negeri Maulana Malik Ibrahim Malang, Indonesia), Yunifa Miftachul Arif (Universitas Islam Negeri Maulana Malik Ibrahim Malang, Indonesia)and Manuel B. Garcia (FEU Institute of Technology, Philippines)
Copyright: 2025
Pages: 26
Source title:
Pitfalls of AI Integration in Education: Skill Obsolescence, Misuse, and Bias
Source Author(s)/Editor(s): Manuel B. Garcia (FEU Institute of Technology, Philippines), Joanna Rosak-Szyrocka (Częstochowa University of Technology, Poland)and Aras Bozkurt (Anadolu University, Turkey)
DOI: 10.4018/979-8-3373-0122-8.ch016
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Abstract
The integration of artificial intelligence (AI) into engineering education has emerged as a transformative force, offering innovative tools to enhance teaching, learning, and administrative processes. This study presents a systematic review of the current landscape, focusing on the AI technologies application, the regulatory frameworks, and the challenges encountered in engineering education. The findings reveal how AI can improve student learning outcomes, personalize educational experiences, and automate complex processes. The review also addresses critical issues, such as ethical considerations and the imperative for regulatory compliance. Furthermore, it identifies key barriers to adoption, such as technological limitations and the preparedness of educators and students to embrace AI-powered solutions. This study provides a comprehensive understanding of the potential and limitations of AI in engineering education, offering actionable insights for educators, policymakers, and stakeholders aiming to foster effective and ethical AI integration in academic settings.
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