Accompanied with the development of storage and processing capacity of modern
technology, educational data increases sharply. It is difficult for educational researchers to …

Data mining approach has been successfully implemented in higher education and emerge
as an interesting area in educational data mining research. The approach is intended for …

Educators seek to harness knowledge from educational corpora to improve student
performance outcomes. Although prior studies have compared the efficacy of data mining …

Educational Data Mining (EDM) involves the extraction of concepts and similar useful
information from data sets that store information about academic work. EDM incorporates a …

Educational data mining has been widely used to predict student performance and establish
intervention strategies to improve that performance. Most studies have implemented …

This paper presents and analyzes the experience of applying certain data mining methods
and techniques on 932 Systems Engineering students' data, from El Bosque University in …

Student success plays a vital role in educational institutions, as it is often used as a metric for
the institution's performance. Early detection of students at risk, along with preventive …

In the current educational landscape, where large amounts of data are being produced by
institutions, Educational Data Mining (EDM) emerges as a critical discipline that plays a …

Student performance is crucial to the success of tertiary institutions. Especially, academic
achievement is one of the metrics used in rating top‐quality universities. Despite the large …

Student information systems hold a lot of information that can be mined for useful patterns.
This work aims to build a prediction model to predict the result of students in 'C'Programming …