The Teachable Agents Group at Vanderbilt University
 Vanderbilt University | School of Engineering: EECS | ISIS

John Kinnebrew

 Research Scientist,
Department of Electrical Engineering and Computer Science,
Institute for Software Integrated Systems
Address: Institute for Software Integrated Systems
Vanderbilt University
1025 16th Avenue South
Nashville, TN 37212
URL: johnkinnebrew.com


Biography

Dr. John S. Kinnebrew joined the Teachable Agents Group as a Research Associate in the Summer of 2010. Since 2013, he has continued as part of the group's leadership as a Research Scientist at the Institute for Software Integrated Systems at Vanderbilt University. He received his B.A. in Computer Science from Harvard University and his Ph.D. in Computer Science from Vanderbilt University. His research and background is in artificial intelligence, including machine learning, intelligent agents, open-ended learning environments, and coordination in multi-agent systems. He is currently involved in a variety of data mining and adaptive learning environment projects with the Teachable Agents Group. His research in these projects focuses on the design of intelligent pedagogical agents and machine learning techniques to model important learning behaviors, including metacognition and self-regulated learning strategies, from activity traces of student interaction in the system.

Dr. Kinnebrew has developed novel data mining algorithms to identify differential patterns among multiple contexts within and across sequential data series (e.g., autonomously-identified phases of task performance within learning activity traces). He has also developed techniques to model the evolution of patterns over the course of long data series and refine the representation of patterns to appropriate levels of specificity in multi-dimensional, hierarchical sequential data. Further, he has applied these approaches to improve the design of pedagogical agents and their coordination mechanisms for dynamic personalization and adaptation to the user.


Publications with the Teachable Agents Group

2017

2016

2015

2014

2013

2012

2011

2010