Conference Session

Engineering Management Division (EMD) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Sakhi Aggrawal, Purdue University ; Paul J. Thomas

Tagged Topics

Diversity

Tagged Divisions

Engineering Management Division (EMD)

quantitative data.Concurrently, qualitative data was thematically analyzed to gain insights into usage andperceptions surrounding AI.Results: The study revealed a growing trend among project management professionals inleveraging AI tools for a variety of tasks, including project planning, task assignment, tracking,and crafting emails, reports, and presentations. A strong correlation was observed betweenfamiliarity with ChatGPT and its likely usage in project management tasks. While someparticipants found AI tools convenient and efficient, they were frustrated with potentialinaccuracies and the need for specific input prompts. Overall, industry professionalsdemonstrated the usage of AI in project management, with a notable emphasis on taskautomation

Conference Session

AI in the Engineering Management Classroom

Collection

2025 ASEE Annual Conference & Exposition

Authors

Ekaterina Koromyslova, South Dakota State University; Bishnu karki, South Dakota State University; Prafulla Salunke, South Dakota State University; Carrie Steinlicht, South Dakota State University; Gary Anderson, South Dakota State University

Tagged Topics

Diversity

Tagged Divisions

Engineering Management Division (EMD)

prompt to AI. Thus, a lack of effective communications skills can compromise thequality of the generated output if the question is not clearly formulated, and the prompts are notrefined or elaborated. Moreover, without an expert to evaluate the generated solution, there is adanger that the solution is based on incorrect or biased information [16]. Unless the decisionmakers are able to critically evaluate the generated solutions, they may make costly mistakes.Farrokhnia, Banihashem, Noroozi, and Wals [17] completed a SWOT analysis of ChatGPT – agenerative AI tool which is commonly used in higher education by instructors and students. Theyidentified the following weaknesses and threats of generative AI: • Lack of deep understanding of the

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)

processing, and transformer architectures and how they fit into larger systems • Generative adversarial networks and survey of AI methods (Bayesian reasoning, genetic algorithms, expert systems) and when they are used • Relationship with signal processing, pattern recognition, and data analytics • Open-source tools, data sourcing, licensing, and rights management • Data cleansing strategies and data cost estimation, including cost of data generation • LLMs, prompt engineering, ChatGPT, and organizational adoption and use • Multi-modal AI, agent-based models, and humanoid robotics • Computing infrastructure for AI, including compute requirements and platform selection • The disruptive impact of AI on the