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 …

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 …

One of the challenges in e‐learning is the customization of the learning environment to
avoid learners' failures. This paper proposes a Stacked Generalization for Failure Prediction …

The main purpose of educational institutions is to provide quality education to their students.
However, it is difficult to analyze large data manually. Educational data mining is more …

Abstract Autism Spectrum Disorder is a neurodevelopmental disorder characterized by
deficits in social communication and interaction as well as the presence of repetitive …

Featured Application Application to student counseling and reducing the dropout rate in
universities. Abstract Since a high dropout rate for university students is a significant risk to …

The need for a knowledge-based society has perpetuated an increasing demand for higher
education around the globe. Recently, there has been an increase in the demand for …

Purpose The prediction of student attrition is critical to facilitate retention mechanisms. This
study aims to focus on implementing a method to predict student attrition in the upper years …

This research aims to make a systematic review of the literature with the theme of predictive
learning analytics (PLA) for student dropouts using data mining techniques. The method …

Background: Artificial intelligence (AI) is a booming sector that has profoundly influenced
every walk of life, and the education sector is no exception. In education, AI has helped to …