August 10, 2017
1:00–2:00 pm EST (Expired)
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This webinar will provide an introduction to computerized adaptive testing (CAT) and how it can be used to improve assessment. First, we will provide a brief background to item response theory, the modern paradigm for test development. Next, we will discuss the technical components of a CAT, including item selection algorithm and termination criterion. Finally, we will present a model for the development of a CAT including information on feasibility studies and business cases. Because CAT can drastically improve the quality of an assessment, it has a strong impact on learning as well as producing fairer tests, more secure tests, and more accurate tests. It also decreases test length by 50-90%, allowing professionals to get back to work more quickly.
Attendees will be able to:
- identify of the fundamentals of item response theory and adaptive testing.
- to discuss the benefits of CAT.
- be able to consider a business case for implementing CAT.