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Título del libro: Proceedings - 2023 11th International Conference In Software Engineering Research And Innovation, Conisoft 2023
Título del capítulo: Academic Achievement in Mathematics of Higher-Middle Education Students in Veracruz: An Approach Based on Computational Intelligence

Autores UNAM:
GUILLERMO GILBERTO MOLERO CASTILLO;
Autores externos:

Idioma:

Año de publicación:
2023
Palabras clave:

Artificial intelligence; Data acquisition; Education computing; K-means clustering; Academic achievements; Education systems; Educational systems; High-middle education; Me-xico; Quality education; Quality of education; Research papers; Standardized tests; Veracruz; Students


Resumen:

Given the role that education plays in society; it is important to have a quality education system. In this sense, the academic achievement of students is an indicator that allows measuring the quality of education offered by educational systems. One way to measure academic achievement is through the results of standardized tests, as is the case of PLANEA in Mexico. This research paper presents the analysis of academic achievement in mathematics of high-middle education students in Veracruz, through an approach based on computational intelligence. For this, an unsupervised learning approach based on K-means was used, an algorithm that models a set of input variables and assigns elements (data vectors) with similar characteristics to certain clusters. The solution method was divided into four stages: data acquisition, exploratory data analysis, variable selection, and algorithm application. As a result, a differentiated segmentation was observed for the evaluation period. From this segmentation, some characteristics stand out in each group were identified, such as: the shift, degree of marginalization, support, programmed students and evaluated students. © 2023 IEEE.


Entidades citadas de la UNAM: