Recently, our CEO Jose Ferreira and VP of Research David Kuntz sat down with Len Swanson, the former Executive Director of ETS and the designer of Knewton’s testing algorithm, for a wide-ranging roundtable on all things adaptive learning.
We’ve broken the discussion down into six parts, all of which we’ll be sharing on our blog in the weeks to come. The first topic: why adaptive testing?
Adaptive tests do just what their name suggest: that is, they adapt to the test-taker’s ability level, yielding more efficient measurements of students’ proficiency levels at a given point in time. [It is important to keep in mind that adaptive testing is not synonymous with adaptive learning, which tracks students' proficiency levels over extended periods of time.] If you’ve applied to grad school, you’re probably already familiar with adaptive testing: the GRE and GMAT are both computer-adaptive tests (CATs).
Click on the video to learn more about the reasoning behind adaptive tests.