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Primetime: Machine Learning for Human Learning

How is today's online education different from distance-learning based on VHS tapes in the decades past? One answer is that we can collect a lot more data about student's learning behavior now. Let's explore how to turn fine-granular, real-time data into prediction, recommendation and automated individualization. We'll look at the latest research in this area and the impact it has started to make in deployed services.

Mung Chiang, John A. Edwardson Dean of the College of Engineering, Purdue University

ASU+GSV 2018