For Harry Sha, exceptional teaching means inspiring lasting curiosity. For Pan Chen, it’s about helping students learn in ways that go beyond simply absorbing course content. Though their definitions differ, both University of Toronto computer science PhD candidates share a commitment to creating meaningful learning experiences.
Transforming education through AI-powered adaptive experiments: U of T computer scientists’ team wins XPRIZE Digital Learning Challenge
U of T computer scientists' MOOClet framework helps personalize and improve online learning experiences
The Adaptive Experimentation Accelerator, which includes Assistant Professor Joseph Jay Williams and U of T CS students Ilya Musabirov, Mohi Reza, Pan Chen and Harsh Kumar, is one of three finalists for the XPRIZE Digital Learning Challenge. The team’s software architecture uses machine learning to design inclusive and personalized online classrooms.