An adaptive test, also known as a computer-adaptive test (CAT), is a type of assessment that adapts to the abilities of the test-taker as they are taking the test. This means that the difficulty level of the questions presented to the test-taker adjusts based on their performance on previous questions.
In an adaptive test, the first question presented to the test-taker is of moderate difficulty. Based on their response, the computer algorithm will determine whether the next question should be easier or more difficult. The test continues in this manner, with the difficulty level of the questions being adjusted in real-time based on the test-taker's responses.
Adaptive tests are designed to provide a more accurate assessment of the test-taker's abilities compared to traditional fixed-form tests. By adapting the difficulty level of the questions, adaptive tests can quickly determine the test-taker's skill level and provide a more precise measurement of their abilities.
One popular example of an adaptive test is the Graduate Record Examination (GRE), a standardized test commonly used for graduate school admissions. The GRE is administered as a computer-adaptive test, with each test-taker receiving a unique set of questions based on their responses during the test.
Overall, adaptive tests offer a more personalized and efficient assessment experience for test-takers, providing more accurate results in a shorter amount of time.
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