Build tests that personally adapt to each student, item by item through modern AI & machine learning. Adaptive testing software will make exams shorter, more accurate, more secure, and more engaging.
Import your items into our item banking platform. Run the item response theory calibration and CAT simulation studies for validity. Then select your CAT options in our test publishing interface. No need to write any code! Our approach to Rapid Assessment Development is core to how our software is designed.
You have full control over all other aspects of publishing as well, from time limits to customized messages to score reports. Our adaptive testing software is just one part of a professional assessment ecosystem: user management, item banking, essay scoring, and more.
Quickly publish your adaptive tests with a range of security options, from unique passwords to time/date windows to lockdown browser to remote proctoring.
Our easy-to-use examinee interface means that there is no learning curve for test-takers and they can focus on what is important: showing what they know.
Decades of scientific research have demonstrated the benefits of CAT, from shorter tests to increased security to increased student engagement.
Want to learn more about our experience? Our Co-Founder and the father of CAT, Prof. David J. Weiss, provides a history and introduction to CAT in the video here. Prof. Weiss directed the Psychometrics PhD program at the University of Minnesota for 4 decades; during the 1970s and 1980s, the US Department of Defense funded the seminal research on CAT that was occurring there.
Scholarly research is so important to us that our co founders also founded the International Association for Computerized Adaptive Testing (www.iacat.org). We’d also love to help your organization migrate to this modern assessment paradigm.
Computerized adaptive testing (CAT) is a simple algorithm but with complex calculations. Items are intelligently selected one at a time, matched to examinee ability. If you get a question wrong, an easier item is presented; if you get a question right, a harder item is shown. But those calculations are based on item response theory – if you just subjectively rank item difficulty, your test is just a legal landmine.
The test can also be variable-length, which means an intelligent stopping rule is implemented to maximize efficiency and fairness. Sub algorithms can govern content constraints, exposure controls, enemy items, and more. But these allow you to effectively publish the best exams for educational assessment and certification or pre-employment testing.
Before you can even consider a move to adaptive testing, you should confirm that you meet the minimum requirements:
But you don’t have to guess on things like item bank size… Simulation studies can help you find the answers!
It’s not easy to build an adaptive test. Our experts have decades of experience and can help you get there as quickly as possible, with relevant validity documentation.
We follow the validity framework that our cofounders established years ago, which you can view at the link below.
Our expert consultants can help you implement these modern methodologies.
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