Nowadays due to technological revolution huge amount of data is generated in every fields
including education as well. Extracting the useful insights from consequential data is a very …

With data accumulating rapidly in education, it is possible for researchers to predict students
academic performance. Among the prediction models, the machine learning model is …

ABSTRACT Performance Factors Analysis (PFA) is considered one of the most important
Knowledge Tracing (KT) approaches used for constructing adaptive educational …

Many stakeholders including students, teachers, and educational institutions, benefit from
accurately predicting student performance and facilitating data-driven policies. In this field …

Purpose The purpose of this paper is to empirically investigate and compare the use of
multiple data sources, different classifiers and ensembles of classifiers technique in …

A high prediction accuracy of the students' performance is more helpful to identify the low
performance students at the beginning of the learning process. Data mining is used to attain …

Predicting students' academic performance has been a research area of interest in recent
years, with many institutions focusing on improving the students' performance and the …

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 …

The ability to predict students' academic performance is critical for any educational institution
that aims to improve their students' learning process and achievement. Although students' …

Online learning has become a popular way of learning due to the rapid development of
informatization of education, the rise of online learning platforms has provided great …