Learning analytics have proved promising capabilities and opportunities to many aspects of
academic research and higher education studies. Data-driven insights can significantly …

Educational data mining has become an effective tool for exploring the hidden relationships
in educational data and predicting students' academic achievements. This study proposes a …

Educational data mining is an emerging research field concerned with developing methods
for exploring the unique types of data that come from educational context. These data allow …

The last few years have witnessed an upsurge in the number of studies using Machine and
Deep learning models to predict vital academic outcomes based on different kinds and …

The early classification of university students according to their potential academic
performance can be a useful strategy to mitigate failure, to promote the achievement of …

Machine learning is emerging nowadays as an important tool for decision support in many
areas of research. In the field of education, both educational organizations and students are …

Students' success has recently become a primary strategic objective for most institutions of
higher education. With budget cuts and increasing operational costs, academic institutions …

Purpose This paper aims to evaluate educational data mining methods to increase the
predictive accuracy of student academic performance for a university course setting. Student …

The present work proposes the application of machine learning techniques to predict the
final grades (FGs) of students based on their historical performance of grades. The proposal …

During the last decades, higher educational institutes have managed to accumulate a large
volume of data about their students' characteristics and performance. Machine learning …