2011 TC Research
Teachers College, Columbia University
Teachers College Columbia University

Research

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Ryan Shaun Joazeiro de Baker

Professional Background

Educational Background

Ph. D. Human-Computer Interaction. Carnegie Mellon University. Conferred on December 22, 
2005. Advisors: Kenneth R. Koedinger, Albert T. Corbett 

M.S. Human-Computer Interaction. Carnegie Mellon University. Conferred August 9, 2005.

ScB. Computer Science. Brown University. Graduated with Honors in Computer Science, May 
2000.

Scholarly Interests

Educational Data Mining, Learning Analytics, Learner-Computer Interaction, Gaming the System,
Student Modeling (Disengagement, Affect, Robust Learning, Knowledge, Strategic Behavior,
Meta-Cognition), Intelligent Tutoring Systems, Serious Games/Educational Games, Science
Microworlds, Off-Task Behavior, Cultural Factors

Selected Publications

active professional organizations

President, International Educational Data Mining Society. (2011-2015)
 
Associate Editor, Journal of Educational Data Mining (2009-present)

Conference Chair. Third International Conference on Educational Data Mining. Pittsburgh, PA,
USA. June 11-13 2010. 
Program Chair (with Joseph E. Beck). First International Conference on Educational Data
Mining, Montreal, Canada, June 20-21, 2008.
 
Executive Committee. International Artificial Intelligence in Education Society. 2011-present.

Steering Committee. Learning Analytics and Knowledge Conference / Society for Learning
Analytics Research, 2011-present.

biographical information

Ryan Shaun Joazeiro de Baker earned his Ph.D. in Human-Computer Interaction from Carnegie Mellon University, and was a post-doctoral fellow in the Learning Sciences at the University of Nottingham. He earned his Bachelor’s Degree (Sc.B.) in Computer Science from Brown University. Dr. Baker has been Assistant Professor of Psychology and the Learning Sciences at Worcester Polytechnic Institute. He previously served as the first Technical Director of the Pittsburgh Science of Learning Center DataShop, the largest public repository for data on the interaction between learners and educational software. He is currently serving as the founding President of the International Educational Data Mining Society, and as Associate Editor of the Journal of Educational Data Mining. His research combines educational data mining, learning analytics, and quantitative field observation methods in order to better understand how students respond to educational software, and how these responses impact their learning. He studies these issues within intelligent tutors, simulations, and educational games. In recent years, he and his colleagues have developed automated detectors that make inferences in real-time about students' motivation, meta-cognition, affect, and robust learning.

grants

 U.S. Department of Education, Institute of Education Sciences. The Development of a Pedagogical Agent for Physical Science Inquiry Driven by Educational Data Mining. Gobert, J.G. (PI), Baker, R.S.J.d. (Co-PI).

Bill and Melinda Gates Foundation, US Program, Vital Behaviors and Skills Associated with Engagement Derived from Learning Analytics Topic. Towards an Engagement Pedometer for Everyone: Unobtrusive Assessment of Engagement and Disengagement. Baker, R.S.J.d. (PI).

National Science Foundation, Software and Hardware Foundations (SHF). SHF: Small: User Studies to Improve Novice Programming. Fisler, K. (PI), Baker, R.S.J.d. (Co-PI).  

U.S. Department of Education, Institute of Education Sciences. Classroom Environment, Allocation of Attention, and Learning Outcomes in K-4 Students. Fisher, A. (PI), Baker, R.S.J.d. (Co-PI).

National Science Foundation, Innovative Technology Experiences for Students and Teachers (ITEST). Research: Predicting STEM Career Choice from Computational Indicators of Student Engagement within Middle School Mathematics Classes. Baker, R.S.J.d. (PI), Heffernan, N.T. (Co-PI). 

National Science Foundation, Research and Evaluation on Education in Science and Engineering (REESE). Empirical Research: Emerging Research: Using Automated Detectors to Examine the Relationships Between Learner Attributes and Behaviors During Inquiry in Science Microworlds. Gobert, J.G. (PI), Baker, R.S.J.d. (Co-PI).

National Science Foundation, Research and Evaluation on Education in Science and Engineering (REESE). Empirical Research: Emerging Research: Robust and Efficient Learning: Modeling and Remediating Students’ Domain Knowledge. Corbett, A.T. (PI), Baker, R.S.J.d. (Co-PI).  

U.S. Department of Education, Institute of Education Sciences. Promoting Robust Understanding of Genetics with a Cognitive Tutor that Integrates Conceptual Learning with Problem Solving. Corbett, A.T. (PI), Baker, R.S.J.d. (Co-PI).

National Science Foundation, Science of Learning Centers. Toward a Decade of PSLC Research: Investigating Instructional, Social, and Learner Factors in Robust Learning through Data-Driven Analysis and Modeling. Koedinger, K.R. (PI). Baker, R.S.J.d. (Senior Personnel).  

honors and awards

Best Paper Award. 11th International Conference on Intelligent Tutoring Systems, 2012.

James Chen Best Student Paper Award (as co-author with Michael Sao Pedro). 20th
International Conference on User Modeling, Adaptation, and Personalization, 2012.
 
AERA SIG-ATL Best Student Paper Award (as co-author with Michael Sao Pedro). Annual
Meeting of the American Educational Research Association, 2012.
Nomination for Teaching Award. Romeo L. Moruzzi Young Faculty Award for Innovation in
Undergraduate Education, Worcester Polytechnic Institute. 2011.
People’s Choice Award for Best Oral Presentation. 10th International Conference on Intelligent
Tutoring Systems, 2010.

People’s Choice Award for Best Interactive Event. 10th International Conference on Intelligent
Tutoring Systems, 2010.

Best Paper Award. 8th International Conference on Intelligent Tutoring Systems, 2006

principal publications