(734) 615- 2132
Applications: Education Methodologies: Machine Learning, Text Analysis and Retrieval Relevant Projects: U.S. Dept of Education (IES): Dynamic Support of Contextual Vocabulary Acquisition for Reading (DSCoVAR): An Intelligent Tutoring System

Kevyn Collins-Thompson

Associate Professor, School of Information


Electrical Engineering and Computer Science

My lab explores algorithms and interfaces for intelligent information systems that can infer when and how to help people learn and discover. Examples include search engines that can deliver the right kind of personalized information at the right time, and intelligent tutoring systems that learn when and how to be most helpful in teaching a particular student. Toward these goals, I employ data-centric methods that include machine learning from interaction traces and large-scale text mining and retrieval. My current research is centered on education, but I’m also interested in mobile and health-related applications.