Massive online open courses or MOOCs have enormous amounts of data that is disorganized, rapid, multi-sourced and constant. Conducting education research in the midst of this deluge of data is tedious, slow, resource-consuming and unscalable. Dr. Una-May O’Reilly, the leader of the AnyScale Learning For All (ALFA) research group at MIT’s Computer Science and Artificial Intelligence Lab, is creating a novel information model named MOOCdb, a multi-institution effort converging on organization of MOOC data that supports multi platform, open access, collaborative, online education research.
In this fourth installment of the Thomson Reuters Knowledge Worker Innovation Series Mona Vernon, Senior Director of Emerging Technology at Thomson Reuters and Dr. O’Reilly discuss big data innovation trends in education, MOOCs, interactive visualization & analytics.
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About the series
Inspired by a neighborhood of innovators and entrepreneurs, the Knowledge Worker Innovation Series consists of events that bring in thought leaders from industry and academia to discuss, dissect and explore technology topics and trends.