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Volume 2, Issue 3, ICCK Transactions on Sensing, Communication, and Control
Volume 2, Issue 3, 2025
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ICCK Transactions on Sensing, Communication, and Control, Volume 2, Issue 3, 2025: 215-225

Free to Read | Perspective | 23 September 2025
Primary Thought on Artificial Intelligence (AI) Enhanced Control Engineering Education
1 School of Engineering, University of the West of England, Bristol, BS16 1QY, United Kingdom
2 College of Information Science and Technology, Qingdao University of Science and Technology, Qingdao 266061, China
* Corresponding Author: Haihong Wang, [email protected]
Received: 27 May 2025, Accepted: 29 July 2025, Published: 23 September 2025  
Abstract
This study briefly discusses the primary AI’s roles in enhancing control engineering education (CEE), which has the potential to revolutionise the teaching-learning framework by making complex concepts and methodologies more intuitive, interactive, and application-driven. While understanding the potential benefits of these AI tools, such as assisting with problem-solving in education, some of the concerns about their use are summarised. An example is discussed how AI enhances CEE in MATLAB \& Simulink. The centre point in the brief paper is that AI should be a tool to enhance teaching-learning, rather than a shortcut to avoid it.

Graphical Abstract
Primary Thought on Artificial Intelligence (AI) Enhanced Control Engineering Education

Keywords
generative AI
computational framework
virtual demonstration platform
MATLAB/Simulink
new assessment
AI in education community of practice
ethical issues

Data Availability Statement
Not applicable.

Funding
This work was supported without any funding.

Conflicts of Interest
The authors declare no conflicts of interest.

Ethical Approval and Consent to Participate
Not applicable.

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Cite This Article
APA Style
Zhu, Q., & Wang, H. (2025). Primary Thought on Artificial Intelligence (AI) Enhanced Control Engineering Education. ICCK Transactions on Sensing, Communication, and Control, 2(3), 215–225. https://doi.org/10.62762/TSCC.2025.254228

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