Reglas de asociación como estrategia de selección de ítems en exámenes adaptativos computarizados
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jun 9, 2023
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https://doi.org/10.30878/ces.v30n2a10
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Josué Pacheco Ortiz
http://orcid.org/0000-0002-2694-2827
Lisbeth Rodríguez Mazahua
http://orcid.org/0000-0002-9861-3993
Giner Alor Hernández
http://orcid.org/0000-0003-3296-0981
http://orcid.org/0000-0002-2694-2827
Lisbeth Rodríguez Mazahua
http://orcid.org/0000-0002-9861-3993
Giner Alor Hernández
http://orcid.org/0000-0003-3296-0981
Resumen
Se propone un método de selección de ítems en los CAT (Computerized Adaptive Testing) basado en reglas de asociación. De acuerdo con la respuesta correcta (1) o incorrecta (0) del evaluado a cada pregunta, se buscan reglas de asociación que tengan como antecedente la pregunta contestada y su resultado (1 o 0) y, como consecuente, ítems con mayor o menor nivel de complejidad que el ítem respondido, respectivamente. La elección del ítem se realiza considerando las reglas con la mayor confianza y soporte. Para finalizar, se incluye un ejemplo para demostrar la eficacia del método propuesto.
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Como citar
PACHECO ORTIZ, Josué; RODRÍGUEZ MAZAHUA, Lisbeth; ALOR HERNÁNDEZ, Giner.
Reglas de asociación como estrategia de selección de ítems en exámenes adaptativos computarizados.
CIENCIA ergo-sum, [S.l.], v. 30, n. 2, jun. 2023.
ISSN 2395-8782.
Disponible en: <https://cienciaergosum.uaemex.mx/article/view/17328>. Fecha de acceso: 18 ago. 2026
doi: https://doi.org/10.30878/ces.v30n2a10.
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Esta obra está bajo licencia internacional Creative Commons Reconocimiento-NoComercial-SinObrasDerivadas 4.0.
Citas
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Data, 22(2), 207-216.
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exploring the impact of item position effects on ability estimation. Journal of Educational
Measurement, 56(2), 437-451. https://doi.org/10.1111/jedm.12215
Bengs, D., Brefeld, U., & Kröhne, U. (2018). Adaptive item selection under matroid constraints. Journal
of Computerized Adaptive Testing, 6(2), 15-36. https://doi.org/10.7333/1808-0602015
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Machine Learning, 42(1-2), 61-95.
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diagnostic computerized adaptive testing. Educational and Psychological, 79(2), 1-23. https://
doi.org/10.1177/0013164418790634
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assessment of Basque language knowledge. Computers & Education, 55, 1044-1055.
Oppl, S., Reisinger, F., Eckmaier, A., & Helm, C. (2017). A flexible online platform for computerized
adaptive testing. International Journal of Educational Technology in Higher Education, 14(2),
2-21. https://doi.org/10.1186/s41239-017-0039-0
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cursos de primer nivel de la carrera de desarrollo de software del instituto superior tecnológico
Guayaquil. Serie Científica de la Universidad de las Ciencias Informáticas, 14(6), 43-58.
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of Data Mining and Knowledge Discovery, 9(4), 224-235.
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‘18 Proceedings of the 6th International Conference on Information and Education Technology,
55(1), 18-24. https://doi.org/10.1145/3178158.3178187
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5th IIAI International Congress on Advanced Applied Informatics, 445-449. https://doi.
org/10.1109/IIAI-AAI.2016.50çYigit, H., Sorrel, M., & De la Torre, J. (2019). Computerized adaptive testing for cognitively based multiple-choice data. Applied Psychological Measurement, 43(5), 1-14.
Zhang, D., Jintao, L., Zhang, B., Zhang, X., Jiang, H., & Lin, Z. (2020). The characteristics and regularities
of cardiac adverse drug reactions induced by Chinese materia medica: A bibliometric
research and association rules analysis. Journal of Ethnopharmacology, 252, 1-12.