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Adaptive Technology in Online Learning Platforms for Increasing Equity

The McGraw Hill Learning Science Video Series talks about a multitude of issues relevant to promoting equity in higher education while seeking to understand the role that learning science plays.

In this video, Simon Allen, CEO of McGraw Hill interviews Ryan Baker, Associate Professor, University of Pennsylvania. Simon and Ryan discuss Adaptive Technology and how it can be a powerful force in creating equitable tools and technology in education.

Learn more about Adaptive Technology in this video.

About the Author

Ryan Baker is Associate Professor at the University of Pennsylvania, and Director of the Penn Center for Learning Analytics. His lab conducts research on engagement and robust learning within online and blended learning, seeking to find actionable indicators that can be used today but which predict future student outcomes. Baker has developed models that can automatically detect student engagement in over a dozen online learning environments, and has led the development of an observational protocol and app for field observation of student engagement that has been used by over 160 researchers in 6 countries. Predictive analytics models he helped develop have been used to benefit hundreds of thousands of students, over a hundred thousand people have taken MOOCs he ran, and he has coordinated longitudinal studies that spanned over a decade. He was the founding president of the International Educational Data Mining Society, is currently serving as Editor of the journal Computer-Based Learning in Context, is Associate Editor of two journals, was the first technical director of the Pittsburgh Science of Learning Center DataShop, is on the McGraw-Hill Learning Sciences Advisory Board, and currently serves as Co-Director of the MOOC Replication Framework (MORF). Baker has co-authored published papers with over 300 colleagues, and his work has been cited over 15,000 times.

Profile Photo of Ryan Baker