OptimalCAT

OptimalCAT is an easy-to-use production-grade Computer Adaptive Testing (CAT) engine. It's both for psychometricians to run simulations and for IT engineers to deploy to production.

It builds upon the shadow-test approach. It leverages state-of-the-art Mathematical Programming solvers (FICO Xpress or Gurobi) to deliver optimal tests to each student. It guarantees that test blueprints and constraints are always met, and measurement accuracy is maximized.

The engine is built as a microservice (REST API interface) and can be easily integrated with test delivery systems.

shadow-test approach

We believe every student deserves the most accurate measurement.


Latest Version:    OptimalCAT-2.4-windows.zip (Manual)

    
Core Team:         Jie Li, PhD
                            Wim J. van der Linden, PhD
                            Richard J. Patz, PhD


Support:              OptimalCAT@outlook.com
              

CSEM of shadow test vs. theoretical limit