Análisis de la incertidumbre en la medición del nivel cognitivo usando Lógica Difusa

Autores/as

DOI:

https://doi.org/10.24215/18509959.33.e5

Palabras clave:

Incertidumbre, Nivel cognitivo, Lógica difusa

Resumen

El objetivo del presente artículo es formular un enfoque del tratamiento de la incertidumbre en la medición del estado cognitivo. Esta incertidumbre se origina en la apreciación subjetiva del evaluador de las acciones del estudiante, sujeta a su experiencia y sensibilidad. Por tal motivo, se utiliza la Lógica Difusa como base de un diseño del modelo del diagnóstico. En el modelo propuesto se identificaron elementos que agregan información relevante a la evaluación si se la compara con la realizada con los métodos tradicionales. Dichos elementos son: •Variables lingüísticas que agregan información sobre el esfuerzo individual en el aprendizaje a lo largo de un período académico, arrojando información sobre su nivel final de desempeño. Se obtiene un perfil individual. •Niveles cognitivos basados en la taxonomía revisada de Bloom. A partir de ellos se obtienen perfiles grupales. Asimismo, se ha medido la incertidumbre total de cada grupo de estudiantes. Se presenta un ejemplo del modelo donde se comparan los valores observados contra los inferidos por el sistema. Asimismo, se presentan valores sobre la performance del modelo

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Publicado

2022-12-30

Cómo citar

[1]
C. R. Huapaya, F. A. J. Lizarralde, M. Gonzalez, y D. E. Benchoff, «Análisis de la incertidumbre en la medición del nivel cognitivo usando Lógica Difusa», TEyET, n.º 33, p. e5, dic. 2022.

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