Prof. Marti Hearst and I co-founded the successful ACM Learning@Scale conference to attract interdisciplinary work in this area.) My background and previous projects (see left) are in Internet systems, programming systems, and applied machine learning; I bring these ideas to bear on CS education at scale. Besides the fact that this area is a good fit for the current exploding demand for computing education, it's both rich because of scale and rich despite scale: Rich despite scale: At scale, what mechanisms increase students’ sense of engagement and of being part of a cohort despite the fact they may never meet their peers in person, and how can we help instructors better understand what’s happening in such large cohorts? Delivered as a service: With online learning technology taking the form of Web services accessed by standard clients such as browsers, the potential exists for reducing research results to practice much more quickly and “baking in” best practices directly into the software. Current Graduate Students and Committees (see also Alumni)
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