I am President of the
International Educational Data Mining Society. I am also Associate Editor of the Journal of Educational Data Mining. I am also a member of the Pittsburgh Science of Learning Center.
My research is at the intersection of Educational Data Mining and Human-Computer Interaction. I develop and use methods for mining the data that comes out of the interactions between students and educational software, in order to better understand how students respond to educational software, and how these responses impact their learning. I study these issues within intelligent tutors and educational games.
In recent years, my colleagues and I have developed automated detectors that make inferences in real-time about students' affect and motivational and meta-cognitive behavior, using data from students' actions within educational software (no sensor, video, or audio data). We have in particular studied gaming the system, off-task behavior, carelessness, "WTF behavior", boredom, frustration, engaged concentration, and appropriate use of help and feedback. We use these models to make basic discoveries about human learning and learners.
I have made some tools for EDM research available here.
Selected Current and Upcoming Projects
- Predicting STEM Career Choice from Computational Indicators of
Student Engagement within Middle School Mathematics Classes (funded by NSF ITEST)
- Classroom Environment, Allocation of Attention, and Learning Outcomes
in K-4 Students (funded by IES)
- Understanding Disengaged Behaviors as Mediators Between Individual Differences and Learning Outcomes (funded by NSF REESE)
- Understanding the Differences Between Rational and
Machine-Learned Models of Gaming the System (funded by NSF-SLC PSLC)
- Preventing and Adapting to Gaming the System (funded by NSF-SLC PSLC)
- Modeling Relationship Between Affect and Robust Learning (funded by NSF-SLC PSLC)
- Integrating Conceptual Learning and Problem-Solving in Genetics (funded by IES)
- Studying the Robustness of Student Learning in Genetics (funded by NSF REESE)
- Detectors of Affect in Educational Software (funded by NSF-SLC PSLC and Gates Foundation)
- Studying Relationship Between Affect, Learning, and Persistence (funded by Gates Foundation)
- Detecting, Studying, and Adapting to Affect in Military Training (cooperative agreement with Army Research Laboratory)
- Student Behavior in Educational Software Across Cultures
Please check out my publications web page for recent papers.
I organize the Learning Analytics Seminar Series at Teachers College.
Teachers College now offers a Concentration in Learning Analytics, within the Masters program in Cognitive Studies in Education.
Follow my research group on Twitter or Facebook.