What do we do?

• We develop, apply, and evaluate computational models of instruction, assessment, human learning, and human information processing.
• The research area Computational Psychometrics is a central focus of our work.
• We disseminate our work through publications, presentations, and software tools.

How do we do it?

Our highly multidisciplinary methods combine research threads from areas such as: psychometrics, the learning sciences, experimental psychology, usability engineering, applied and theoretical mathematical statistics, and machine learning. These methodologies are best summarized as: Computational Psychometrics, Bayesian Networks in Educational Assessment, and Statistical Machine Learning.

Why do we do it?

• Advance scientific knowledge in computational psychometrics, the learning sciences, and theoretical mathematical statistics.
• Improve the quality of assessment and instruction for children and adults.
• Provide advanced scientific training for the next generation of psychometricians and learning scientists.