Abstract
The field of computing has developed so rapidly. Various theories of computational evolution to support human needs are continually being pursued; one of them is the field of education, especially in terms of teaching, testing, and evaluation of exam results. This study aims to develop computerized adaptive tests (CAT) to measure the student's abilities. Students will be measured for their cognitive abilities in Mathematics and Science subjects. It starts with developing a question bank that has been tested with 720 students to classify items based on its characteristic, i.e., easy, medium, and challenging. This research uses the item response theory approach with the model 2 logic parameters (2PL), namely item difficulty and item difference power. The selection of test items for each participant will depend on the response of the previous answer. Fuzzy algorithm is used in analyzing test items through four stages, namely fuzzification, implications, inference, and defuzzification. Meanwhile, to measure the ability of test-takers, the maximum likelihood estimation method, MLE, is used. Based on the testing of 73 students, it was found that each student received a different test item, both in the number of questions and the level of difficulty of the questions, according to student's abilities. The results of the CAT program's measurement of the test taker's ability estimation were stated to be more effective compared to conventional methods, as indicated by the average test length of 15 items compared to traditional tests, which had a length of 50 items. Therefore, the CAT program with the fuzzy item response theory can be used as support to measure students' abilities.
Highlights
With the development of the world and information technology, human behavior changes over time
An item is said to be good if the difficulty level (b) is from -2 to 2 [22], it can be concluded that each item has a normal difficulty level because it ranges from -2.19 to 4.01 for mathematical subjects, and between -3.88 to 3.86 for subject science
Based on the results of testing the computerized adaptive tests (CAT) program in this study, it can be concluded that the CAT program with the fuzzy response item theory model produces different items for each student based on their ability level
Summary
With the development of the world and information technology, human behavior changes over time. This has changed the development of the education system in the world and especially in Indonesia. Test results are information about the characteristics of a person or group of people in terms of their cognitive abilities or skills. Anderson and Kratwohl [3] show that cognitive domain learning is oriented towards thinking abilities, including simpler skills and problems solving skills. This testing activity is one way to predict the ability level of students indirectly, in response to a number of stimuli or questions. To get accurate data needed valid and reliable tests
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