Rusell Almond, PhD
Associate Professor
Dr. Russell Almond is a statistician specializing in applying Bayesian networks and Partially Observed Markov Decision Processes to educational measurement. His work focuses on scoring game and simulation-based assessments. The author of two books on the topic, he also developed the “Peanut” system for building and scoring assessments with Bayesian networks.
Research Areas
Publications
- "Bayesian Networks in Educational Assessment", Springer, May-15 [Visit Publication]
Presentations
- "Bayesian Networks in Educational Assessment (Tutorial)", National Council on Measurement in Education, Oct-25
Awards
- 2022 - Outstanding Researcher of the Year