College context and academic performance are important determinants of academic
success; using students' prior experience with machine learning techniques to predict …

For a lot of beginners, learning to program is challenging; similarly, for teachers, it is difficult
to draw on students' prior knowledge to help the process because it is not quite obvious …

Data mining has emerged as a way of working with large amounts of data in various fields of
technology that produce data types quickly and correctly. In particular, emerging …

College context and academic performance are important determinants of academic
success; using students' prior experience with machine learning techniques to predict …

The identification of students potentially at risk of having learning difficulties is of utmost
importance for the provision of timely support. This paper presents an intelligent academic …

Information literacy (IL) is becoming fundamental in the modern world. Although several IL
standards and assessments have been developed for secondary and higher education …

There has been a rapid growth in the educational domain since education has become an
important need. Data is collected in this domain which can be put to meaningful use to …

The identification of students potentially at risk of having learning dif-ficulties is of utmost
importance for the provision of timely support. This paper presents an intelligent academic …

Objetivo: Diseñar un modelo estadístico que determine los factores académicos sobre
resultados de las Pruebas Saber Pro. Metodología: El estudio de técnicas de relaciones …