The Adaptive Experimentation Accelerator, led by Assistant Professor Joseph Jay Williams, aims to design inclusive and personalized learning experiences.
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.