Predicting student performance is a crucial research area in educational data mining.
Student grades are influenced by various factors such as past academic performance, family …

The rapid growth of the Internet and related technologies has led to the collection of large
amounts of data by individuals, organizations, and society in general [1]. However, this often …

This paper focuses on presenting the benefits of a stacking technique, an ensemble method,
for academic achievement prediction. The data for this study consisted of students' grades in …

Student performance prediction is extremely important in today's educational system.
Predicting student achievement in advance can assist students and teachers in keeping …

Student performance prediction (SPP) aims to evaluate the grade that a student will reach
before enrolling in a course or taking an exam. This prediction problem is a kernel task …

Finding students at high risk of poor academic performance as early as possible plays an
important role in improving education quality. To do so, most existing studies have used the …

Improving the quality, developing and implementing systems that can provide advantages to
students, and predicting students' success during the term, at the end of the term, or in the …

Accurately predicting students' future performance based on their ongoing academic records
is crucial for effectively carrying out necessary pedagogical interventions to ensure students' …

Educational data mining involves finding patterns in educational data which can be obtained
from various e-learning systems or can be gathered using traditional surveys. In this paper …

In the recent years, data mining has been utilized in education settings for extracting and
manipulating data, and for establishing patterns in order to produce useful information for …