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Showing 1 to 5 of 5 for “"Item Selection Methods"”.
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Item Selection Methods in Polytomous Computerized Adaptive Testing
… of administering adaptive tests with polytomous items is in great need. With regard to the applicability of adaptive testing using polytomous IRT models, adaptive testing can use polytomous items of either rating scales, or in some testing situations of multiple choice. Additionally, the …
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Item selection methods in multidimensional computerized adaptive testing adopting polytomously-scored items under multidimensional generalized partial credit model
Four item selection methods are compared and investigated under three test formats in the context of Multidimensional Computerized Adaptive Testing (MCAT) delivering polytomous items partially or completely in tests. Item selection methods examined include Fisher information based D-optimality …
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Kullback-Leibler information and its applications in multidimensional adaptive testing
… information in the context of multi-dimensional item response theory and is further interpreted for the two-dimensional case, from a geometric perspective. This explication should allow for a better understanding of the various item selection methods in multi-dimensional adaptive tests (MAT) …
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Data-driven adaptive learning systems
… classification testing (CCT) tailors test items to learners' abilities so as to give a more efficient latent trait estimation. On the other hand, the learning plan (called policy) is another key component of such systems. It is the algorithm that designs the learning paths, or in other …
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New methods of online calibration for item bank replenishment
"Item parameter calibration is important for tests based on item response theory, because the scoring, equating, bias analysis of the test, and item selection in adaptive tests are all based on the item parameters. As a test is continuously administered, item calibration needs to be conducted for …