University at Buffalo PhD candidate Duncan Mullins explores how future engineering faculty understand learning and teaching. Drawing on phenomenological research, he reveals that graduate students favor student-centered, application-driven approaches—far from traditional lecture models. His findings highlight a striking gap between emerging educators’ beliefs and current classroom practices, offering insight into how engineering education can better prepare both teachers and students for real-world complexity.

A celebratory evening recognizing the standout alumni, faculty, and students who embody the mission and impact of Purdue’s School of Engineering Education.

Join Roland Molontay, Associate Professor at Budapest University of Technology and Economics, for an engaging talk on how data science supports evidence-based decision-making in higher education. Drawing on large-scale administrative and academic datasets, he will present research on dropout prediction, admission system validity, student success factors, grade inflation, and explainable AI (XAI). The talk also introduces a web-based decision-support tool that helps prospective students make informed academic choices.

University at Buffalo Assistant Professor Andrew Olewnik examines how reflection shapes the journey from engineering student to professional. Using studies with undergraduates and early-career engineers, he highlights how classroom and experiential learning influence problem-solving and professional identity. The talk emphasizes reflective practices that help students recognize themselves as engineers and successfully transition into the profession.

Join us for a seminar with Sharon Miller, Associate Professor of Engineering Practice in the Weldon School of Biomedical Engineering and Assistant Vice Provost for Purdue University in Indianapolis, as she explores how embedding team-based biomedical design projects across three consecutive years of an undergraduate curriculum impacts student self-efficacy. Dr. Miller will share insights into how continuous exposure to real-world design—and experiences beyond the classroom like clinical immersion—can strengthen students’ belief in their ability to succeed.

Get ready for the April 24, 2026 compliance deadline under Title II of the Americans with Disabilities Act (ADA). Join Ben Holmes, Purdue's Lead Educational Technology Consultant for Innovative Learning, for a hands-on workshop on creating accessible digital instructional materials. Through practical examples and guided discussion, you’ll gain clear, actionable strategies to meet new federal accessibility standards and ensure every learner can fully engage with your content.

This interactive seminar explores how early diagnostics and flexible instructional tools can be used to assess and develop students' computational thinking skills across engineering curricula. Noemi Mendoza Diaz from Texas A&M presents scalable, language-agnostic teaching strategies that support learning in classrooms of any size while grounding essential AI and machine learning competencies. The talk also addresses the educational and psychological implications of the growing reliance on chatGPT.

This one-hour, live webinar provides prospective students with the opportunity to learn more about one of the Purdue School of Engineering Education's online programs: the Teaching & Learning in Engineering Graduate Certificate.

Curious about engineering paths that don’t fit neatly into one box? Join MDESS at the Multidisciplinary Engineering Open House to explore how Multidisciplinary Engineering (MDE) blends engineering with other fields—or multiple engineering disciplines—into unique, flexible concentrations. Chat casually with seniors, browse poster-style displays, ask questions, and discover where MDE can take you. Come by anytime, grab a snack, and see how intersectional engineering could shape your future.

This research seminar challenges us to rethink intelligence, ability, and progress in the age of artificial intelligence (AI). Rua Williams, an assistant professor in Purdue's School of Applied and Creative Computing and a former Just Tech Fellow with the Social Science Research Council, will discuss how cultural assumptions about disability and eugenics are embedded in AI systems, shaping new forms of inequality and harm. Attendees will leave with tools to critically evaluate AI’s promises and imagine more just technological futures.