Student retention is an essential measurement metric in education, indicated by retention
rates, which are accumulated as students re-enroll from one academic year to the next. High …

Educational data mining is an emerging interdisciplinary research area involving both
education and informatics. It has become an imperative research area due to many …

The dropout rates in the European countries is one of the major issues to be faced in a near
future as stated in the Europe 2020 strategy. In 2017, an average of 10.6% of young people …

Dropout students are a severe problem in higher education (HE) in many countries. Student
dropout has a tremendous negative impact not only on individuals but also on universities …

There are three income categories for Malaysians: the top 20%(T20), the middle 40%(M40),
and the bottom 40%(B40). The government has extended B40′ s access to higher …

Recently, students dropping out of school at the tertiary level without prior notice or
permission has intrigued deep concern among academic authorities, instructors, and …

En los últimos años, técnicas de Inteligencia Artificial (IA) como el aprendizaje automático o
Machine Learning (ML) y el Aprendizaje profundo o Deep Learning (DL), han impactado de …

The purpose of this research article was to contrast the benefits of the optimal probability
threshold adjustment technique with other imbalanced data processing techniques, in its …

The objective of this research is to reduce the dropout rate of students in the Faculty of
Systems Engineering and Informatics of the Universidad Nacional Mayor de San Marcos …

The process for building effective machine learning models that predict the learning success
of university students, the competences of the actors involved in model building, and the …