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Collaborative student learning has been shown to lead to significant academic benefits among students, and to improved social skills that are critical for the workforce, such as communication and teamwork. However, these benefits were limited to small face-to-face groups and required the support of human experts who actively monitored and guided the group’s learning. Technological advances now enable globally dispersed teams to collaborate online, from Q&A forums to virtual laboratories. Augmenting these settings with AI technology can scale up the benefits of collaborative group learning to online groups. I describe challenges to AI research for supporting this new type of online teamwork, as well as opportunities for combining AI and ML towards supporting students' learning and teachers’ understanding of how students learn.

This talk was part of the research day Interfaces between Statistics, Machine Learning and AI hosted by the Centre for Statistics and the Bayes Centre.