Conference Session

Generative AI and Its Role in Industrial Engineering

Collection

2025 ASEE Annual Conference & Exposition

Authors

THOMAS AMING'A OMWANDO, Simpson University; Adel Alhalawani, Rose-Hulman Institute of Technology; Ashutosh Khandha, University of Delaware; Bhavana Kotla, The Ohio State University

Tagged Topics

Diversity

Tagged Divisions

Industrial Engineering Division (IED)

scenarios and enhancestudent preparedness for real-world challenges.Despite this potential, limited research exists on how GenAI can be tailored for discipline-specific assessments, particularly in fields like engineering [2], [14]. There is a pressing need tocustomize GenAI applications to meet the unique demands of engineering education [6], [7].Current AI tools face challenges in effectively assessing soft skills such as teamwork andcommunication, which are vital components of engineering education. Research by Nikolic et al.[4], and Kadel et al. [11] underscores these limitations, pointing to the necessity foradvancements in this domain. There is a notable absence of longitudinal studies that evaluate theeffects of GenAI-based grading on both