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Faculty Candidate Talk

Machine Learning Methods for Personalized Learning

 

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Thursday, March 01, 2018, 10:30am
 

Personalized learning, i.e., recommending personalized remediation or enrichmentactivities to each learner based on their individual background, interests, learning goal,and learning progress, has the potential to revamp the outdated “one-size-fits-

Speaker: Andrew S. Lan

Bio

Andrew S. Lan is a postdoctoral research associate in the EDGE lab at the Departmentof Electrical Engineering at Princeton University. His research interests are in thedevelopment of ML methods for educational applications including learning and conte

Location : CoRE 301

Committee: 

Desheng Zhang

Event Type: Faculty Candidate Talk

Abstract: 

Organization: 

Princeton University