Chris Cain is a computer science Ph.D student at Washington State University doing research in gamification, specifically how to use supervised and reinforcement learning to select individual externally motivating games played outside the classroom which will maximize a student's motivation to succeed in a classroom setting, without modifying the classroom setting. By tying progress in the classroom to progress in this game, he aims to show an increase in motivation, learning, retention, and grades in as many students as possible without compromising other students' learning experience.
Matthew E. Taylor graduated magna cum laude with a double major in computer science and physics from Amherst College in 2001. After working for two years as a software developer, he began his Ph.D. work at the University of Texas at Austin with an MCD fellowship from the College of Natural Sciences. He received his doctorate from the Department of Computer Sciences in the summer of 2008, supervised by Peter Stone. Matt then completed a two year postdoctoral research position at the University of Southern California with Milind Tambe and spent 2.5 years as an assistant professor at Lafayette College in the computer science department. He is currently an assistant professor at Washington State University in the School of Electrical Engineering and Computer Science and is a recipient of the National Science Foundation CAREER award. Current research interests include intelligent agents, multi-agent systems, reinforcement learning, transfer learning, and robotics.
Anne Anderson is an Assistant Professor in the School of Design + Construction at Washington State University. Her research focuses on improving construction coordination efforts through the use of building information modeling (BIM) and emerging collaboration technologies.
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