In the current educational landscape, where large amounts of data are being produced by
institutions, Educational Data Mining (EDM) emerges as a critical discipline that plays a …

Predicting graduates' first destinations in advance is crucial for targeted career planning and
strategic curriculum development. The relationship between first destinations and academic …

In recent years, schools have shown interest in utilizing data mining to improve the quality of
education. To enhance academic performance, accurately predicting how students will …

Artificial intelligence (AI), which has attracted great attention in recent years, has been
widely used in the field of education as in many other fields. AI in education is used to …

Los indicadores de riesgo de un estudiante que recién inicia sus es-tudios universitarios
son de relevancia para evitar una posible deserción y abandono en un corto plazo. Se …

Abstract The measurement of Students' Academic Performance (SAP) stands as a crucial
gauge for assessing the standing of students within an academic institution. This metric …

This research delves into the significance of seat belt utilization, particularly within public
transportation, for both drivers and passengers. The article examines the issue of non …

This paper aims to present the results achieved after a series of experiments regarding the
prediction of the academic performance of Romanian middle school students. A unique data …

The examination of student attrition within higher education is a dynamic field that seeks to
tackle the complex task of preventing dropout occurrences and formulating effective …

This study reviews the published studies that predict student performance or classify them
into performance groups relying on different types of education-related data coming from …