Engineering Educators' Perspectives on the Impact of Generative AI in Higher Education
Umama Dewan, Ashish Hingle, Nora McDonald, Aditya Johri

TL;DR
This study surveys engineering educators to understand their perspectives on generative AI, revealing generally positive attitudes and highlighting the importance of engagement for productive integration in higher education.
Contribution
It provides new insights into educators' perceptions and experiences with GenAI, emphasizing the role of active engagement in shaping positive attitudes and addressing challenges.
Findings
Most educators are somewhat familiar with GenAI.
Engagement with students correlates with more positive views.
Educators recognize both potential benefits and risks of GenAI.
Abstract
The introduction of generative artificial intelligence (GenAI) has been met with a mix of reactions by higher education institutions, ranging from consternation and resistance to wholehearted acceptance. Previous work has looked at the discourse and policies adopted by universities across the U.S. as well as educators, along with the inclusion of GenAI-related content and topics in higher education. Building on previous research, this study reports findings from a survey of engineering educators on their use of and perspectives toward generative AI. Specifically, we surveyed 98 educators from engineering, computer science, and education who participated in a workshop on GenAI in Engineering Education to learn about their perspectives on using these tools for teaching and research. We asked them about their use of and comfort with GenAI, their overall perspectives on GenAI, the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsEngineering Education and Technology · Biomedical and Engineering Education
