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AI in Assessment: Introduction to Computerized Adaptive Testing

Many exams, across all fields, remain the same as they were 50 years ago: a conventional, linear, multiple choice assessment. In some cases, they have migrated from paper to a computer screen, but with no other changes. The worst example is the "gridded" item, which takes a bubble sheet and puts it on a computer screen! One of the most important technological advancements in assessment is the use of machine learning and AI to make personalized assessments, which is called computerized adaptive testing (CAT). While it has been around for decades, CAT remains a black box to many people, and many organizations consider it out of their reach. This webinar will provide an accessible, non-mathematical introduction to CAT, allowing you to better evaluate its feasibility for your organization. Or, if you are already interested, more information on how to apply it. Some of the topics: 1. The CAT algorithm 2. Advantages of CAT 3. Requirements for CAT 4. How to implement CAT Presenter: Nathan Thompson, PhD CEO, Assessment Systems http://assess.com