Purpose Many studies have examined pre-diploma students' backgrounds and academic
performance with results showing that some did not achieve the expected level of …

In the realm of Educational Data Mining (EDM), the predictive analysis of student
performance has emerged as a pivotal area of interest, particularly within computer science …

In the era of AI, one of the most important fields that can make best use of it is Education. Be
it the student, teacher or the institution, each one of them can use it for their benefit. One …

Objective This study seeks to explore and compare ensemble learning models for more
accurate predictions of students' national ranks in Iran's nationwide university entrance …

Este estudo aborda a dificuldade de analisar indicadores do engajamento dos estudantes
em atividades de ensino-aprendizagem online. Foi analisado o desempenho de diferentes …

Both student's performance prediction and its analysis are essential activities for any
educational institute. Existing research studies show that there are many factors like …

The student performance is examined in this study using a number of methods of
Educational Data Mining (EDM), Clustering and classification techniques are employed to …

In a country like India, where students constitute a major part of the population, there is a
need to predict a student's performance. The need for analysing students' academic …

The development of a country is highly dependent on education and its technology.
Sustainable development of once country influenced by educated person. In Ethiopia there …

Perkembangan teknologi dan data dalam bidang pendidikan membuka peluang baru untuk
memahami dan memprediksi performa akademik mahasiswa. Literatur ini mengkaji …