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Metaheuristic Algorithms for Designing Optimal Test Blueprint

  • Autores: Paul Dimple Valayil
  • Localización: Computación y Sistemas (CyS), ISSN 1405-5546, ISSN-e 2007-9737, Vol. 24, Nº. 4, 2020, págs. 1627-1642
  • Idioma: inglés
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  • Resumen
    • Abstract: A test paper blueprint/question paper blueprint, also known as the table of specifications represents the structure of a test. It has been highly recommended in assessment textbook to carry out the preparation of a test with a test blueprint. The paper focuses on modeling a dynamic test paper blueprint using multi-objective optimization algorithm and makes use of the blueprint in dynamic generation of examination test paper. Multi-objective optimization-based models are realistic models for many complex optimization problems. Modeling a dynamic test paper blueprint, similar to many real-life problems, includes solving multiple conflicting objectives satisfying the blueprint specifications. Optimizing a particular candidate blueprint solution with respect to a single objective can result in undesirable results with respect to rest of the objectives. A reasonable solution to the multi-objective blueprint modeling problem is to examine a set of solutions, each of which satisfies the objectives at a satisfactory level without being dominated by any other solution.

Los metadatos del artículo han sido obtenidos de SciELO México

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