Student dropout is non-attendance from school or college for an extended period for no
apparent cause. Tending to this issue necessitates a careful comprehension of the basic …

This study focused on predicting at-risk groups of students at the Open University (OU), a UK
university that offers distance-learning courses and adult education. The research was …

Estimating software enhancement efforts became a challenging task in software project
management. Recent researches focused on identifying the best machine learning …

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 …

As demand for computer software continually increases, software scope and complexity
become higher than ever. The software industry is in real need of accurate estimates of the …

The problem of university dropout is a recurring issue in universities that affects students,
especially in the first year of studies. The situation is aggravated by the COVID-19 pandemic …

The dropout rate in underdeveloped and emerging countries is a pressing social issue, as
highlighted by studies conducted by The Organization for Economic Co-operation and …

College dropout is a concern for educational institutions since it directly impacts educational
management and academic results, as well as being directly related to social problems …

Different Educational Data Mining (EDM) techniques have been utilized to detect the risk of
school dropouts over the previous 10 years, and the issue remains to improve the …

The Institutes of Higher Public Technological Education (IHPTE) of the rural environment in
the Altiplano of the Puno region-Peru, located above 4000 meters above sea level, these …