adaptiivsetest

Adaptive test, also known as adaptive testing or computer adaptive testing (CAT), is a method of assessment where the difficulty of questions is adjusted in real-time based on the test-taker's performance. Unlike traditional paper-and-pencil tests where everyone answers the same set of questions, adaptive tests use algorithms to select the next question for a participant.

The process typically begins with a question of medium difficulty. If the test-taker answers correctly, the next question presented will be more challenging. Conversely, if they answer incorrectly, the subsequent question will be easier. This iterative process allows the test to pinpoint the test-taker's ability level with greater precision and efficiency.

The primary advantage of adaptive testing is its ability to provide a more accurate assessment of an individual's knowledge or skill in a shorter amount of time. It avoids presenting questions that are too easy for highly skilled individuals or too difficult for those with less knowledge, thereby maximizing engagement and reducing frustration. Adaptive tests are commonly used in standardized testing for educational admissions, professional certifications, and large-scale proficiency assessments. The underlying technology requires sophisticated item banks, which are collections of questions pre-calibrated for difficulty and other psychometric properties.