Learning at Scale and the Science of Learning

Large-scale learning environments—from massive open online courses to learning management systems used by many thousands of students—offer tremendous opportunities to advance the science of learning. In this session, HarvardX Research Fellow Justin Reich will share emerging findings and map for the future of online learning research.

OUTCOMES: Learn how to distinguish between participation data (which is abundant) and learning data (which is scarce) * Learn about a taxonomy of current research approaches ranging from fishing in the data exhaust to design research in the core * Understand the importance of randomized experiments (A/B testing) to advancing the science of learning