Emma Brunskill, Geoffrey J Gordon

Carnegie Mellon University; Carnegie Mellon University

Tutorial: Machine Learning for Student Learning

1:00 – 3:00pm Monday, December 03, 2012

Emerald Bay B, Harveys Convention Center Floor (CC)

Intelligent tutoring systems and online classes have the potential to revolutionize education. Realizing this potential requires tackling a large number of challenges that can be framed as machine learning problems. We will first provide a survey of several machine learning problems in education, such as modeling a student's thought process as she solves a problem, constructing the atoms of knowledge, and automated problem design. We will then discuss cognitive modeling and instructional policy construction in more depth, and describe state-of-the-art methods as well as ongoing challenges. Throughout the tutorial we will highlight where student learning results in opportunities for new algorithmic and theoretical advances in machine learning.

Emma Brunskill is an Assistant Professor of Computer Science and an
Affiliated Assistant Professor of Machine Learning at Carnegie Mellon
University. Prior to this, she completed her PhD at the Massachusetts
Institute of Technology and was a NSF Mathematical Sciences
Postdoctoral Fellow at UC Berkeley. Her primary research is on
sequential decision making under uncertainty, and she is particularly
excited about applications of this work to intelligent tutoring
systems and healthcare. Emma is also interested in how information
technology can be used to help address challenges that arise in low
resource areas. She is a Rhodes Scholar and was recently selected as a
Microsoft Faculty Fellow.

Dr. Gordon is an Associate Research Professor in the Department of
Machine Learning at Carnegie Mellon University, and co-director of the
Department's Ph. D. program. He works on multi-robot systems,
statistical machine learning, game theory, and planning in
probabilistic, adversarial, and general-sum domains. His previous
appointments include Visiting Professor at the Stanford Computer
Science Department and Principal Scientist at Burning Glass
Technologies in San Diego. Dr. Gordon received his B.A. in Computer
Science from Cornell University in 1991, and his Ph.D. in Computer
Science from Carnegie Mellon University in 1999.