Multistage testing

We are proud to announce that ASC’s next-generation platform,, was recently announced as a Finalist for the 2021 EdTech Awards. This follows the successful launch of the landmark platform in 2020, where it quickly garnered attention as a finalist for the Innovation award at the 2020 conference of the Association of Test Publishers.

What is brings together best practices in assessment with modern approaches to automation, AI, and software design. It is built to make it easier to develop high-quality assessments with automated item review and automated item generation, and deliver with advanced psychometrics like adaptive and multistage testing.

Computerized Adaptive Testing Software

An example of this approach is shown below; a modern UI/UX presents a visual platform for publishing MultiStage Tests based on information functions from item response theory (IRT). Users can easily publish tests with this modern AI-based approach, without having to write a single line of code.

Multistage testing


What are the EdTech Awards?

See the full list of finalists, and learn more about the awards, via the link below.
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Nathan Thompson, PhD

Nathan Thompson earned his PhD in Psychometrics from the University of Minnesota, with a focus on computerized adaptive testing. His undergraduate degree was from Luther College with a triple major of Mathematics, Psychology, and Latin. He is primarily interested in the use of AI and software automation to augment and replace the work done by psychometricians, which has provided extensive experience in software design and programming. Dr. Thompson has published over 100 journal articles and conference presentations, but his favorite remains .
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