Final answer:
Computerized adaptive testing (CAT) is a method using algorithms to adjust question difficulty based on performance, which differs from non-adaptive testing that has a fixed set of questions. CAT aims for a more accurate assessment and personalized experience but, like all standardized testing, has concerns about cultural bias and the influence of socioeconomic status.
Step-by-step explanation:
What is Computerized Adaptive Testing?
Computerized adaptive testing (CAT) is a method of assessment that uses a computer algorithm to adjust the difficulty of questions based on the test-taker's performance. In contrast, non-adaptive testing presents all examinees with a fixed set of questions, regardless of their ability levels. CATs start with questions of medium difficulty and change the subsequent question's difficulty based on whether the previous one was answered correctly or incorrectly. This approach aims to provide a more precise measurement of the test-taker's abilities.
Differences from Non-Adaptive Testing
Unlike non-adaptive testing, CAT significantly reduces the number of items that appear too easy or too hard for a particular test-taker, making the testing experience more individually tailored. CAT can also enhance test security by reducing the likelihood of cheating since each test-taker receives a unique set of questions. Furthermore, adaptive tests may require fewer questions to achieve the same level of accuracy, potentially reducing the duration of the test.
Limitations and Considerations
Some concerns associated with standardized testing, whether adaptive or not, include cultural bias and the disparity in preparation opportunities. Research has indicated that factors such as socioeconomic status may influence test results, leading to discussions around the validity of these tests as true measures of intelligence or ability. With the evolution of testing methodologies, the question of how to create fair, accurate, and unbiased assessments remains a work in progress.