2025 ASEE Annual Conference & Exposition

Generative Artificial Intelligence for Enhanced Engineering Education; Strengths, Challenges and Validation

Presented at Multidisciplinary Engineering Division (MULTI) Technical Session 8

In today’s rapidly evolving technological landscape, there is a pressing need to explore innovative approaches that leverage Generative Artificial Intelligence (AI) and Augmented/Mixed Reality (AR/MR) to enhance engineering education. This study investigates students’ perceptions, familiarity, and opinions on generative AI and AR/MR technologies in engineering and beyond. We surveyed graduate and undergraduate students from the Civil and Mechanical Engineering departments to examine the strengths and challenges of AI in the engineering field. Additionally, exams and homework assignments were utilized to assess the accuracy of AI in solving engineering problems. The selected courses for this study included Transportation Engineering, Highway Engineering, and Concrete and Asphalt Lab from the Civil Engineering department, as well as Advanced Fluid Mechanics (graduate course) and Thermodynamics from the Mechanical Engineering department. A total of 72 students participated in the study. Based on the results, we provide suggestions and recommendations to enhance the integration of AI and VR into engineering education, addressing potential challenges and opportunities for future development.

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The full paper will be available to logged in and registered conference attendees once the conference starts on June 22, 2025, and to all visitors after the conference ends on June 25, 2025