As artificial intelligence (AI) becomes increasingly integrated into educational environments,
adopting a human-centered approach is essential for enhancing student outcomes. This …

The aim of this paper is to identify the predictive factors that influence the completion or
dropping out of studies. It compares the data obtained through the ISVU system between two …

Data are becoming more important in education since they allow for the analysis and
prediction of future behaviour to improve academic performance and quality at educational …

Algorithmic bias is a major issue in machine learning models in educational contexts.
However, it has not yet been studied thoroughly in Asian learning contexts, and only limited …

Abstract Educational Data Mining (EDM) is one of the newest topics to emerge in recent
years, and it focuses on developing strategies for analyzing various forms of data gathered …

Accurately predicting student performance in advance has become crucial in educational
systems to ensure timely interventions and enhance academic support. This research …

This study focuses on identifying the most relevant predictive attributes that influence the
academic performance of university students in Peru, the objective of this study is to identify …

Анотація У статті представлено детальний аналіз сучасних методів інтелектуального
аналізу освітніх даних (ІАОД). На основі цього аналізу розроблено інтегрований набір …

A rise in higher education institution closures prompts creative mergers and acquisitions
solutions, resulting in over one hundred higher education institutional mergers in the US this …

Анотація У час, коли суспільство переживає період глибоких трансформацій, необхідно
переосмислення існуючих підходів у всіх аспектах нашого життя, включно з освітою …