QuizzICAL is an interactive, computer-adaptive learning system that makes it possible to deploy computer-adaptive testing technology for the purpose of providing students with guided practice exercieses at their level while simultaneously working to improve it.
This is a modern remake of my undergraduate research project from 2006 using modern technologies (Python + React/Redux). The goal of the original project was to simultaneously offer a method to continuously reevaluate the parameters of the questions themselves without needing to perform initial calibration.
The original project was written in ASP.net
Done:
- The data model + CRUD
- Basic user authentication
- The Item Response Theory engine
Still in Progress (was part of the original project)
- Authorization with roles
- Question difficulty reestimation
- Support for multiple question types
- Question categorization by concept
- Support for ability estimation by concept