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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: Naixin, Zhang, Wai Yie, Leong, Tong, Zhang, Changqing, Wei
Format: Article
Language:English
English
Published: INTI International University 2024
Subjects:
L Education (General)
LB2300 Higher Education
QA75 Electronic computers. Computer science
T Technology (General)
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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spelling my-inti-eprints.20832024-12-04T11:04:13Z http://eprints.intimal.edu.my/2083/ Artificial Intelligence in Engineering Education: A Review of Pedagogical Innovations Naixin, Zhang Wai Yie, Leong Tong, Zhang Changqing, Wei L Education (General) LB2300 Higher Education QA75 Electronic computers. Computer science T Technology (General) 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. INTI International University 2024-12 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/2083/2/624 text en cc_by_4 http://eprints.intimal.edu.my/2083/3/ij2024_46.pdf Naixin, Zhang and Wai Yie, Leong and Tong, Zhang and Changqing, Wei (2024) Artificial Intelligence in Engineering Education: A Review of Pedagogical Innovations. INTI JOURNAL, 2024 (46). pp. 1-10. ISSN e2600-7320 https://intijournal.intimal.edu.my
institution INTI International University
building INTI Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider INTI International University
content_source INTI Institutional Repository
url_provider http://eprints.intimal.edu.my
language English
English
topic L Education (General)
LB2300 Higher Education
QA75 Electronic computers. Computer science
T Technology (General)
spellingShingle L Education (General)
LB2300 Higher Education
QA75 Electronic computers. Computer science
T Technology (General)
Naixin, Zhang
Wai Yie, Leong
Tong, Zhang
Changqing, Wei
Artificial Intelligence in Engineering Education: A Review of Pedagogical Innovations
description 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.
format Article
author Naixin, Zhang
Wai Yie, Leong
Tong, Zhang
Changqing, Wei
author_facet Naixin, Zhang
Wai Yie, Leong
Tong, Zhang
Changqing, Wei
author_sort Naixin, Zhang
title Artificial Intelligence in Engineering Education: A Review of Pedagogical Innovations
title_short Artificial Intelligence in Engineering Education: A Review of Pedagogical Innovations
title_full Artificial Intelligence in Engineering Education: A Review of Pedagogical Innovations
title_fullStr Artificial Intelligence in Engineering Education: A Review of Pedagogical Innovations
title_full_unstemmed Artificial Intelligence in Engineering Education: A Review of Pedagogical Innovations
title_sort artificial intelligence in engineering education: a review of pedagogical innovations
publisher INTI International University
publishDate 2024
url 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
_version_ 1818840133898600448
score 13.232389

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