Benjamin Manning, a student pursuing his Ph.D. in Engineering Education at Purdue, will talk about ways to use the educational tool of reverse engineering to bridge theoretical concepts and practical applications to enhance student confidence and interest in ECE.

ENE's Dr. Tamara Moore will walk through the process of obtaining an approved IRB protocol and the ongoing process once it is approved.

In this ENE Explorer Presentation, grad student Udeme Idem will discuss 1) how microelectronics and microcontrollers have been integrated into engineering curriculums to enhance active learning, engagement, and foundational competencies, and 2) how Generative AI can be used in ways that enable humans to actively guide AI-driven design processes.

In this ENE 590 Presentation, graduate student Yash Garje discusses new research-based approaches to integrating robotics into curricula to engage and retain diverse participants.

Dr. Maya Denton with the University of Oklahoma will talk about the research associated with how engineering students approach career choices and the workforce as they near graduation.

Clemson doctoral student and retired U.S. Air Force Colonel Keith Balts will talk about a study analyzing proxy variables from multiple government-provided databases to investigate relationships between undergraduate experiences and early career performance at the United States Space Force (USSF).

Dr. Rea Lavi's talk on teaching systems thinking to engineering students will focus on the Systems Thinking Assessment Rubric, first developed during his doctoral studies, and the System Architecture-Function-Outcome framework. He will provide examples from classroom projects and peer-reviewed studies.

Dr. Jessica Deters will discuss her research findings on what negatively affects the mental health of engineering students, and how to design educational environments that support student mental health and well-being.

Dr. Louis Tay will trace how the concept of bias has evolved from psychometrics to machine learning, and show how his work has advanced some of the conceptualization, testing, and assessment of bias across these endeavors, culminating in his current thinking on Machine Learning Measurement Bias and beyond.

Register today to attend a two-day open house this fall showcasing the ENE Graduate Programs.