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Much of the research on educational technology (e.g., MOOCs and adaptive learning systems) has been driven by the capabilities of technology instead of the pedagogy and cognition of learners. Our research takes the opposite approach. A review of the literature on educational technology and instructional methods for teaching STEM courses was used to identify the strengths of technology in education. These findings are being used to develop educational technology and provide heuristics and guidelines for developing effective STEM courses that optimally support learning.

We are seeking to use AI to help high-school engineering teachers provide students with a more balanced approach across all steps of the engineering design process, and real-time, judgement-free feedback as they navigate open-ended challenges. Currently, the focus is on gaining a deeper understanding teachers' needs and pedagogical practices around the EDP which will inform our future design.

Agility handlers need a reliable, accurate way to measure and monitor athlete activity to help reduce the high incidence of injury in agility dogs. Through this project, we hope to help develop a canine-wearable system to recognize agility activity in order to lay the groundwork for creating a user interface that can measure training workload, speed, fatigue, and other parameters to evaluate relation to injury risk and target injury prevention strategies.