SciELO - Scientific Electronic Library Online

 
vol.12 número4Evaluación de un Plan de Desarrollo Docente Universitario basado en la Experiencia: el Modelo de Aprendizaje 70:20:10 en la Universidad Europea de MadridEstudio de un Algoritmo Genético para la Administración Académica índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

Links relacionados

  • En proceso de indezaciónCitado por Google
  • No hay articulos similaresSimilares en SciELO
  • En proceso de indezaciónSimilares en Google

Compartir


Formación universitaria

versión On-line ISSN 0718-5006

Resumen

GARCIA-GONZALEZ, José R.; SANCHEZ-SANCHEZ, Paola A.; OROZCO, Manuel  y  OBREDOR, Sergio. Knowledge Capture for the Prediction and Analysis of Results of the Quality Test of Higher Education in Colombia. Form. Univ. [online]. 2019, vol.12, n.4, pp.55-62. ISSN 0718-5006.  http://dx.doi.org/10.4067/S0718-50062019000400055.

In this paper, the prediction and results analysis of the quality test of higher education in Colombia - Saber Pro is performed. The knowledge extraction in databases methodology KDD was used, on which a database of the student's academic performance was built in areas associated with the contents of the Saber Pro test, and neural networks were used as a technique for data mining. The neural networks allowed the prediction of the results of the Saber Pro test with high exactness in both qualitative and quantitative ranges. A correlation between academic performance and Saber Pro results was also found. The findings suggest that the methodology used is an excellent guide for the discovery of hidden patterns in the data, and allows to establish strategies to improve the results of the Saber Pro tests that involve the student's academic performance.

Palabras clave : data mining; knowledge extraction; databases methodology KDD; Saber Pro; higher education.

        · resumen en Español     · texto en Español     · Español ( pdf )