Components of the item selection algorithm in computerized adaptive testing / 보건의료교육평가
Journal of Educational Evaluation for Health Professions
;
: 7-2018.
Artículo
en Inglés
| WPRIM
| ID: wpr-764469
ABSTRACT
Computerized adaptive testing (CAT) greatly improves measurement efficiency in high-stakes testing operations through the selection and administration of test items with the difficulty level that is most relevant to each individual test taker. This paper explains the 3 components of a conventional CAT item selection algorithm test content balancing, the item selection criterion, and item exposure control. Several noteworthy methodologies underlie each component. The test script method and constrained CAT method are used for test content balancing. Item selection criteria include the maximized Fisher information criterion, the b-matching method, the a-stratification method, the weighted likelihood information criterion, the efficiency balanced information criterion, and the Kullback-Leibler information criterion. The randomesque method, the Sympson-Hetter method, the unconditional and conditional multinomial methods, and the fade-away method are used for item exposure control. Several holistic approaches to CAT use automated test assembly methods, such as the shadow test approach and the weighted deviation model. Item usage and exposure count vary depending on the item selection criterion and exposure control method. Finally, other important factors to consider when determining an appropriate CAT design are the computer resources requirement, the size of item pools, and the test length. The logic of CAT is now being adopted in the field of adaptive learning, which integrates the learning aspect and the (formative) assessment aspect of education into a continuous, individualized learning experience. Therefore, the algorithms and technologies described in this review may be able to help medical health educators and high-stakes test developers to adopt CAT more actively and efficiently.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Selección de Paciente
/
Educadores en Salud
/
Retinoscopía
/
Educación
/
Habilidades para Tomar Exámenes
/
Aprendizaje
/
Lógica
/
Métodos
Tipo de estudio:
Estudio pronóstico
Límite:
Animales
/
Humanos
Idioma:
Inglés
Revista:
Journal of Educational Evaluation for Health Professions
Año:
2018
Tipo del documento:
Artículo
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