TY - GEN
T1 - AI-Powered Engineering Talents Cultivation - Illustrated by BEng Mechatronics and Robotics Programme at XJTLU
AU - Chen, Min
AU - Zhang, Shunqi
AU - Li, Ji
AU - Li, Na
AU - Leach, Mark
AU - Lim, Eng Gee
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025/9/23
Y1 - 2025/9/23
N2 - The rapid development of artificial intelligence (AI) is posing new challenges to the cultivation of engineering talents, especially in the highly interdisciplinary mechatronics and robotics field as practitioners and students adapt to the dramatic technological upgrades. This paper explores the evolution of educational paradigms through industrial assessments to pinpoint the core characteristics required for robotics programs in the AI era. Three levels of AI technique integration in education are analyzed: AI algorithm development, practical application scenarios and the design of user-friendly interface to enhance the usability. Finally, some solutions for the cultivation of robotics programme are proposed, including cross-departmental staff teaching allocation, the establishment of university-industry tangible platforms and an emphasis on fostering scientific attributes. These approaches are deemed effective in nurturing AI-powered engineering talents.
AB - The rapid development of artificial intelligence (AI) is posing new challenges to the cultivation of engineering talents, especially in the highly interdisciplinary mechatronics and robotics field as practitioners and students adapt to the dramatic technological upgrades. This paper explores the evolution of educational paradigms through industrial assessments to pinpoint the core characteristics required for robotics programs in the AI era. Three levels of AI technique integration in education are analyzed: AI algorithm development, practical application scenarios and the design of user-friendly interface to enhance the usability. Finally, some solutions for the cultivation of robotics programme are proposed, including cross-departmental staff teaching allocation, the establishment of university-industry tangible platforms and an emphasis on fostering scientific attributes. These approaches are deemed effective in nurturing AI-powered engineering talents.
KW - AI-powered cultivation
KW - multi-level AI integration
KW - University-Industry collaborative model
UR - https://www.scopus.com/pages/publications/105018089063
U2 - 10.1109/ICAIE64856.2025.11158149
DO - 10.1109/ICAIE64856.2025.11158149
M3 - Conference Proceeding
AN - SCOPUS:105018089063
T3 - 2025 International Conference on Artificial Intelligence and Education, ICAIE 2025
SP - 91
EP - 95
BT - 2025 International Conference on Artificial Intelligence and Education, ICAIE 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 International Conference on Artificial Intelligence and Education, ICAIE 2025
Y2 - 14 May 2025 through 16 May 2025
ER -