This study focused on two main points: the generation of licensure examination performance
prediction models; and the development of a Decision Support System. In this study, data …

This study focused on the generation of the licensure examination performance models
implementing PART and JRip classifiers. Specifically, it identified the attributes that are …

Education plays a vital role in the development of a country, and predicting the students'
performance is essential to identify future risks they might encounter and enable academic …

E-learning platforms known as Learning Management System (LMS) generate huge amount
of data that need to be examine in order to derive meaning out of it. This can be achieved …

Student outcomes are of great importance in higher education institutions. Accreditation
bodies focus on them as an indicator to measure the performance and effectiveness of the …

AIMS: This study aimed to predict the performance of residents on preboard examinations
based on the results of in-training examinations (ITE) using various educational data mining …

Prediction on students' academic performance is a subject or situation under consideration
of interest for both students and educational institutions at large. This is a strong emerging …

Most students have a problem to keep track on their learning performance. Some lecturers
with high teaching hours and burden of administration jobs may have difficulty to identify …

The aims of this study are 1) to study the prediction accuracy rate between the two data
mining techniques: decision tree and neural network in classifying a group of student …

The explosive growth of available data as a result of computerization [1] of almost every
aspect of the day-today operations of organizations has instinctive contributions to the …