MODIFICATION OF RANDOMIZED ITEMS SELECTION AND STEP-SIZE BASED ON TIME RESPONSE MODEL TO REDUCE ITEM EXPOSURE LEVEL OF CONVENTIONAL COMPUTERIZED ADAPTIVE TESTING

Suhardi, Iwan (2016) MODIFICATION OF RANDOMIZED ITEMS SELECTION AND STEP-SIZE BASED ON TIME RESPONSE MODEL TO REDUCE ITEM EXPOSURE LEVEL OF CONVENTIONAL COMPUTERIZED ADAPTIVE TESTING. In: International Conference on Educational Research and Evaluation (ICERE), 29-31 Mei 2016, Yogyakarta Indonesia.

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Abstract

To estimate the ability of students, computerized adaptive test(CAT) has been shown to be more efficient than conventional tests using paper and pencil test (P&P Test) and computerized-based testing (CBT). However, the conventional CAT applying the Maximum Likeli-hood Estimation(MLE) and the step-size to estimate the ability of the test taker and the application of item information function (IIF) for the selection of items displayed will cause item exposure problems or frequent emergence of some items that given to test participants, so that the item was easy to spot, especially at the beginning of the emergence in the order items. This paper attempts to determine the effect modification by randomization in the CAT algorithm and step-size based on the response time to estimate the ability of the test taker. Items bank for the research using item response theory models one parameter logistic (1 PL). Development model is the method of randomization using 5-4-3-2-1 models based on MLE and grouping the response time for a constant step-sizenya. Based on study results, the CAT algorithm modification resulted in the appearance items are more varied, thereby reducing exposure item problem without reducing the efficiency of CAT.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	FAKULTAS TEKNIK
Depositing User:	Arsad Bahri
Date Deposited:	18 Jun 2023 07:20
Last Modified:	26 Jun 2023 04:17
URI:	http://eprints.unm.ac.id/id/eprint/30221

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