In recent years, Neural Network (NN) has seen widespread and successful implementations
in a wide range of data mining applications, often surpassing other classifiers. This study …

The primary goal of educational systems is to enrich the quality of education by maximizing
the best results and minimizing the failure rate of poor-performing students. Early predicting …

Recently, student's academic performance prediction has become an increasingly
prominent research topic in the field of Educational Data Mining (EDM). The prediction of …

Predicting students' academic performance is one of the oldest and most popular
applications of educational data mining. It helps to estimate the unknown evaluation of a …

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 …

The performance of students was bad instead of the extreme effect of its teachers in a
Portuguese school. The core problem is there low performance in two of the main subjects …

The application of machine learning techniques in predicting students' performance, based
on their background and their in-term performance has proved to be a helpful tool for …

Abstract Recently, Educational Data Mining (EDM), emerged as a new area of research due
to the enlargement of various statistical methods used to explore data in educational …

The research on educational field that involves Data Mining techniques is rapidly increasing.
Applying Data Mining techniques in an educational environment are known as Educational …

Educational data mining is an emerging interdisciplinary research area involving both
education and informatics. It has become an imperative research area due to many …