Applications of Data Science in Education

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Education research thrives when we can collect data that explain learning outcomes in terms of learning processes. How should we sequence the skills taught in a curriculum? Should recency of information from students affect our predictions of their mastery? How can students provide valid and reliable assessments of each other’s work? Are there individual differences among students in how they benefit from feedback? We address these and other research questions through a combination of user experience design, instrumentation and data collection, and data science. The findings can be used to inform the design of technologies for learners and instructors.

Ilya Goldin is a Director of Data Science at 2U, Inc, where his role is to use learning sciences and data science to advance 2U technology for students and faculty. Prior to 2U, he was a Research Scientist in the Center for Digital Data, Analytics and Adaptive Learning at Pearson, and an IES PostPIER postdoctoral fellow at Carnegie Mellon University. He holds a PhD in Intelligent Systems from the University of Pittsburgh. Ilya serves as an Edmund W. Gordon Fellow, funded by MacArthur Foundation and Educational Testing Service.