As artificial intelligence (AI) takes on cognitive and creative tasks once considered uniquely human, Clinical Assistant Professor for Purdue's Gifted, Creative, and Talented Studies Benna Haas invites educators and scholars to reconsider what intelligence means today. Grounded in gifted, creative, and talented studies and drawing from research in human–AI interaction, her talk explores how human and AI intelligences intersect, diverge, and co-evolve.

Drawing on experience as an industry instructor and time spent shadowing a First-Year Engineering course, PhD Candidate Sage Maul's ENE 590 Presentation will explore key contrasts, challenges, and strategies for tailoring instruction to diverse learning contexts. Then first-year PhD student Aadithan Anbuvanan will discuss a collaborative learning framework that integrates reverse engineering with generative AI and a large-language model.

In this ENE-hosted, student-exchange research seminar, UGA PhD Candidate Deborah Moyaki discusses emerging technologies in engineering education, arguing that the associated research focuses too much on adoption metrics and not enough on how the metrics support learning and career development. She presents a new, human-centered framework that looks at how faculty meaningfully use technology in real educational contexts.

UMich Assistant Professor and Engineering Education Research Chair Karin Jensen, PhD, examines how the culture of normalized stress in engineering undermines student well-being and thriving, and how these norms shape help-seeking and peer interactions. She presents new tools and interventions that use longitudinal data and integrated curricula to promote a culture of wellness alongside technical learning.

Purdue PhD candidates Jorge Cristancho Rodriguez and Kevin Jay Kaufman-Ortiz will present on their ENE 590 research.

Join Purdue ENE PhD Alum Catherine Berdanier as she uncovers key insights into the experiences of engineering graduate students, exploring what drives success, resilience, and the challenges that lead some to step away from the field. Her research bridges disciplines to reveal actionable strategies for supporting the next generation of engineers.

Curious about what's next in your journey as an engineering educator? Join Dr. Audeen Fentiman for this interactive seminar that looks at the past, present, and possibilities ahead in engineering education, and invites you to imagine your own path forward.

Associate Professor in the Purdue University Libraries & School of Information Studies David Zwicky will share his expertise on Artificial Intelligence and Machine Learning (AI/ML) in Engineering Education with particular emphasis on the Scite research tool.

Virginia Tech Associate Professor Andrew Katz will present a comprehensive overview of methodological innovations developed in the IDEEAS Lab to leverage the power of generative AI, large language models, and NLP techniques for advancing engineering education.

Join Purdue ENE's Jason Morphew for an engaging look at the history and future of artificial intelligence in education. Designed for newcomers to AI, this interactive talk explores what “human-like intelligence” really means, how AI works, and how today’s tools are reshaping teaching and learning.