Conference Session

AI in the Engineering Management Classroom

Collection

2025 ASEE Annual Conference & Exposition

Authors

Edwin R Addison, North Carolina State University at Raleigh

Tagged Topics

Diversity

Tagged Divisions

Engineering Management Division (EMD)

. He started five companies in IT and the Life Sciences (all based on AI), successfully funded four of them, exited from three of them, was named ”Entrepreneur of the Year” in two of them, and has one still standing. In addition to start-up companies, Dr. Addison previously worked for Westinghouse Electric Corporation, Booz Allen and Hamilton, and IQVIA. Ed Addison has a BSEE from Virginia Tech, an MSEE and MS BME from Johns Hopkins, an MBA from Duke, and a JD from Purdue, and he completed a sabbatical year at MIT in Artificial Intelligence on the BG Lamme Scholarship, where he received the Certificate of Advanced Engineering Studies. He received a teaching award from Johns Hopkins University. He previously taught

Conference Session

AI in the Engineering Management Classroom

Collection

2025 ASEE Annual Conference & Exposition

Authors

Nahid Vesali, The Citadel

Tagged Divisions

Engineering Management Division (EMD)

to balance creativity and precision based on the specificrequirements of the task.ConclusionThis study highlights the transformative potential of AI in engineering education while addressingthe limitations and challenges of current tools. By integrating LLMs into the curriculum, educatorscan prepare students for a rapidly evolving technological landscape. The findings offer actionablerecommendations for leveraging AI to enhance learning outcomes, ensuring that future engineersare well-equipped to harness these innovations responsibly and effectively.This research contributes to the body of knowledge in engineering education by demonstrating astructured approach to integrating AI tools into project management curricula. By focusing

Conference Session

Engineering Management Pedagogy: Teaching for Real-World Impact

Collection

2025 ASEE Annual Conference & Exposition

Authors

Yuxin Xue, Zhejiang University; Tuoyu Li, Zhejiang University; Min Ye, Zhejiang University

Tagged Divisions

Engineering Management Division (EMD)

talentcultivation models of top international universities. North America boasts richexperience in cultivating engineering management talents, with MIT’s System Design& Management (SDM) program being a typical representative. Upon comparison,numerous similarities and differences emerge between the talent training models ofChinese and North American universities. Specifically, regarding training objectives,both programs emphasize the fostering of interdisciplinary awareness and abilities.However, this program underscores the ability to integrate digital intelligencetechnologies with engineering management. Conversely, SDM emphasizes thedevelopment of systematic thinking and leadership. Regarding curriculum setting, thisprogram focuses on establishing an

Conference Session

Engineering Management Pedagogy: Teaching for Real-World Impact

Collection

2025 ASEE Annual Conference & Exposition

Authors

Yooneun Lee, University of Dayton; Khalid Zouhri, University of Dayton; Philip Appiah-Kubi, University of Dayton

Tagged Divisions

Engineering Management Division (EMD)

struggling andmake adjustments to the curriculum and program structure to better prepare graduates for success.Additionally, the analysis of student performance can provide valuable feedback to faculty andadministrators, helping them to continually improve and adapt the program to meet the changing needs ofthe industry. Overall, a thorough analysis of student performance in the first year of an engineeringgraduate program is an essential component of ensuring that graduates are well-prepared to succeed intheir careers and make meaningful contributions to the field of engineering [1].The analysis of student performance in their first engineering graduate program has been a key aspect ofevaluating the effectiveness of such programs for many years. In