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 …

Students' academic performance is a key aspect of online learning success. Online learning
applications known as Learning Management Systems (LMS) store various online learning …

Education plays a major role in the development of the consciousness of the whole society.
Education has been improved by analyzing educational data related to student academic …

Educational data mining has always been a direction of big data applications, among which
the student achievement prediction is one of the research focuses. The research has two …

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

Educational data mining has received considerable attention in the last few years. Many
data mining techniques are proposed to extract the hidden knowledge from educational …

Blended learning is increasingly used in college teaching, and formative evaluation has
become the main method for assessing student performance. Based on the formative …

Student academic performance prediction is one of the important works in the teaching
management, which can realize accurate management, scientific teaching and personalized …

Student academic performance (SAP) is one of the most important factors that influence the
attainment of an educational institution. Educational data mining (EDM) follows the principle …

For an aspiring graduate student, shortlisting the universities to apply to is a difficult problem.
Since an application is extremely dynamic, students often tend to wonder if their profile …