Primary Thought on Artificial Intelligence (AI) Enhanced Control Engineering Education
Perspective  ·  Published: 23 September 2025
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ICCK Transactions on Sensing, Communication, and Control
Volume 2, Issue 3, 2025: 215-225
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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]
Volume 2, Issue 3

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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  1. Minna Liu, Xinming Guo. Enhancing dynamic gesture recognition and human–computer interaction through integrated GCN–transformer architecture with transfer learning. Alexandria Engineering Journal, 2026 , 143 .
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  2. Rakhmatjan Tadjikuziev, Shovkat Tursunov, Ma’Rifat Ismailova, Shoirakhon Baybabaeva, Makhmudjon Shakhodjaev, Surayyo Mirzayeva. . 2025 3rd International Conference on IoT, Communication and Automation Technology (ICICAT), 2025 .
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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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TY  - JOUR
AU  - Zhu, Quanmin
AU  - Wang, Haihong
PY  - 2025
DA  - 2025/09/23
TI  - Primary Thought on Artificial Intelligence (AI) Enhanced Control Engineering Education
JO  - ICCK Transactions on Sensing, Communication, and Control
T2  - ICCK Transactions on Sensing, Communication, and Control
JF  - ICCK Transactions on Sensing, Communication, and Control
VL  - 2
IS  - 3
SP  - 215
EP  - 225
DO  - 10.62762/TSCC.2025.254228
UR  - https://www.icck.org/article/abs/TSCC.2025.254228
KW  - generative AI
KW  - computational framework
KW  - virtual demonstration platform
KW  - MATLAB/Simulink
KW  - new assessment
KW  - AI in education community of practice
KW  - ethical issues
AB  - 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.
SN  - 3068-9287
PB  - Institute of Central Computation and Knowledge
LA  - English
ER  - 
BibTeX Format
Compatible with LaTeX, BibTeX, and other reference managers
@article{Zhu2025Primary,
  author = {Quanmin Zhu and Haihong Wang},
  title = {Primary Thought on Artificial Intelligence (AI) Enhanced Control Engineering Education},
  journal = {ICCK Transactions on Sensing, Communication, and Control},
  year = {2025},
  volume = {2},
  number = {3},
  pages = {215-225},
  doi = {10.62762/TSCC.2025.254228},
  url = {https://www.icck.org/article/abs/TSCC.2025.254228},
  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.},
  keywords = {generative AI, computational framework, virtual demonstration platform, MATLAB/Simulink, new assessment, AI in education community of practice, ethical issues},
  issn = {3068-9287},
  publisher = {Institute of Central Computation and Knowledge}
}

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