Educational data mining (EDM) is the application of data mining in the educational field.
EDM is used to classify, analyze, and predict the students' academic performance, and …

While learning analytics (LA) has been highlighted as a field aiming to address systemic
equity and quality issues within educational systems between and within regions, to date, its …

This paper describes a nationwide learning analytics initiative in Uruguay focused on the
future implementation of governmental policies to mitigate student retention and dropouts in …

The exponential growth of data in the field of education has created a pressing demand for a
robust system capable of analyzing this vast amount of information, empowering decision …

In the realm of Educational Technology, personalized learning is pivotal, yet predicting
students' learning abilities based on learning styles and ICT remains challenging. We …

There is a significant amount of data available about students and their learning activities in
many educational systems today. However, these datasets are frequently spread across …

This paper seeks to present the similarities and differences of the practical application of
Learning Analitycs and Educational Data Mining in different educational contexts and levels …

We investigated the influence of chronotype on eating habits among adolescents attending
schools with morning (07: 00 hours–12: 00 hours) or afternoon (13: 00 hours–18: 00 hours) …

Few studies have examined how the personal characteristics of students, together with
factors from their local social environments and communities, affect students living in …

Addressing the issue of high school non-completion poses a crucial challenge for
contemporary education. This research introduces a machine learning-based methodology …