Proceedings of the Focus Conference (TFC 2024)

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Integrating Artificial Intelligence in Electrical Engineering Education: A Framework for the Fourth Industrial Revolution

Authors
P. Naidoo1, *, M. Sibanda1
1Mangosuthu University of Technology, Durban, South Africa
*Corresponding author. Email: pnaidoo@mut.ac.za
Corresponding Author
P. Naidoo
Available Online 31 December 2024.
DOI
10.2991/978-94-6463-630-7_17How to use a DOI?
Keywords
Artificial Intelligence (AI); Fourth Industrial Revolution (4IR); Electrical Engineering Education; Teaching, Learning, and Assessment (TLA); Curriculum Design
Abstract

The advent of the Fourth Industrial Revolution (4IR) demands a paradigm shift in engineering education, necessitating the integration of Artificial Intelligence (AI) in Teaching, Learning, and Assessment (TLA). This research highlights the imperative need for Higher Education (HE) institutions to adapt their curricula and teaching practices to prepare students for an AI-driven market. The study focuses on integrating AI into the electrical engineering curriculum, emphasising the need for curriculum redesign and the incorporation of interactive learning experiences as core components of this transformation.

The research showcases specific examples of AI integration into the electrical engineering curriculum, such as Machine Learning (ML)-based project design and simulation tools. While acknowledging the challenges of algorithmic bias, data privacy, and societal impact associated with AI, the research emphasises the crucial role of interdisciplinary collaboration and robust monitoring frameworks to ensure responsible AI integration.

This paper provides a framework for HE institutions to redesign their electrical engineering programs, incorporating AI and aligning with 4IR demands. By doing so, students are equipped with the cognitive skills required to thrive in an AI-driven market, enhancing critical thinking and problem-solving capabilities. The proposed framework addresses potential implementation barriers, such as faculty training and infrastructure needs, offering strategies to overcome these obstacles and ensure a seamless transition to an AI-integrated educational model.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Focus Conference (TFC 2024)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
31 December 2024
ISBN
978-94-6463-630-7
ISSN
2667-128X
DOI
10.2991/978-94-6463-630-7_17How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - P. Naidoo
AU  - M. Sibanda
PY  - 2024
DA  - 2024/12/31
TI  - Integrating Artificial Intelligence in Electrical Engineering Education: A Framework for the Fourth Industrial Revolution
BT  - Proceedings of the Focus Conference (TFC 2024)
PB  - Atlantis Press
SP  - 313
EP  - 327
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-630-7_17
DO  - 10.2991/978-94-6463-630-7_17
ID  - Naidoo2024
ER  -