Resumen

DIMPLE VALAYIL, Paul. Metaheuristic Algorithms for Designing Optimal Test Blueprint. Comp. y Sist. [online]. 2020, vol.24, n.4, pp.1627-1642.  Epub 11-Jun-2021. ISSN 2007-9737.  https://doi.org/10.13053/cys-24-4-3174.

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.

Palabras llave : Multi-objective optimization; test paper blueprint; meta-heuristic algorithms; Bloom's taxonomy.

        · texto en Inglés     · Inglés ( pdf )