Artificial Intelligence in Engineering Education: A Review of Pedagogical Innovations
This study critically evaluates the integration of artificial intelligence (AI) into engineering education, with a specific focus on its transformative role within the Digital-Intelligent Era. Drawing on General Systems Theory (GST), this research synthesizes insights from 82 empirical studies sp...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
INTI International University
2024
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| Subjects: | |
| Online Access: | http://eprints.intimal.edu.my/2083/2/624 http://eprints.intimal.edu.my/2083/3/ij2024_46.pdf http://eprints.intimal.edu.my/2083/ https://intijournal.intimal.edu.my |
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| Summary: | This study critically evaluates the integration of artificial intelligence (AI) into engineering
education, with a specific focus on its transformative role within the Digital-Intelligent Era.
Drawing on General Systems Theory (GST), this research synthesizes insights from 82 empirical
studies spanning 2011 to 2024, exploring AI's impact on the evolution of educational frameworks.
The study identifies six key application domains of AI within engineering education, including
intelligent tutoring systems, adaptive learning platforms, virtual laboratories, and personalized
curriculum design. It highlights the synergy between AI and other emerging technologies, such as
5G, Cloud Computing, and Big Data, driving pedagogical innovation and enhancing the learning
experience. Additionally, the paper addresses challenges related to the implementation of AI-based
educational strategies, including infrastructure limitations, resistance to change, and equity
concerns. Finally, it offers strategic solutions to overcome these challenges, fostering a more
inclusive and effective educational environment. |
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