TY - GEN
T1 - Navigating Identity Dilemmas among Industry Mentors in AI-Era Engineering Education
AU - Ma, Shuoran
AU - Ma, Yonghong
AU - Qu, Yue
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - The widespread adoption of artificial intelligence (AI) technology is transforming engineering education, posing challenges for industry mentors in their professional identity. Drawing on the analytical frameworks of Professional Identity Theory (PIT) and Socio-Technical Systems Theory (STS), this study identifies three key issues: (1) Challenges to knowledge authority: industry mentors need to shift from being purveyors of knowledge to serving as cognitive and ethical gatekeepers for AI-generated content. (2) Role contradictions: industry mentors are asked to assume the role of 'Broker' but lack the resources and authority to effectively address institutional differences between academia and industry. (3) Undervaluation of their work: existing evaluation criteria fail to fully recognize the important role of industry mentors in cross-disciplinary collaboration and ethical guidance. The study suggests that the root cause of these contradictions lies in the mismatch between the pace of technological innovation and the renewal of educational management systems, necessitating the development of a more resilient education system to cope with this transformation.
AB - The widespread adoption of artificial intelligence (AI) technology is transforming engineering education, posing challenges for industry mentors in their professional identity. Drawing on the analytical frameworks of Professional Identity Theory (PIT) and Socio-Technical Systems Theory (STS), this study identifies three key issues: (1) Challenges to knowledge authority: industry mentors need to shift from being purveyors of knowledge to serving as cognitive and ethical gatekeepers for AI-generated content. (2) Role contradictions: industry mentors are asked to assume the role of 'Broker' but lack the resources and authority to effectively address institutional differences between academia and industry. (3) Undervaluation of their work: existing evaluation criteria fail to fully recognize the important role of industry mentors in cross-disciplinary collaboration and ethical guidance. The study suggests that the root cause of these contradictions lies in the mismatch between the pace of technological innovation and the renewal of educational management systems, necessitating the development of a more resilient education system to cope with this transformation.
KW - Artificial Intelligence
KW - Engineering Education
KW - Identity Dilemmas
KW - Industry Mentorship
KW - Sociotechnical Systems Theory
UR - https://www.scopus.com/pages/publications/105030164858
U2 - 10.1109/WEEF-GEDC66748.2025.11256408
DO - 10.1109/WEEF-GEDC66748.2025.11256408
M3 - 会议稿件
AN - SCOPUS:105030164858
T3 - WEEF-GEDC 2025 - World Engineering Education Forum - Global Engineering Deans Council Annual Conference, in conjunction with the KSEE Annual Conference 2025: Engineering Education We Need, Conference Proceedings
BT - WEEF-GEDC 2025 - World Engineering Education Forum - Global Engineering Deans Council Annual Conference, in conjunction with the KSEE Annual Conference 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 World Engineering Education Forum - Global Engineering Deans Council Annual Conference, WEEF-GEDC 2025
Y2 - 21 September 2025 through 25 September 2025
ER -