C Zhang, H Ahn - Education Sciences, 2023 - mdpi.com
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 …
RS Santos, MA Ponti, KR Rodrigues - Brazilian Conference on Intelligent …, 2023 - Springer
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 …
DZ Medina, JAJ Builes… - 2022 XII International …, 2022 - ieeexplore.ieee.org
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 …