The present work proposes the application of machine learning techniques to predict the
final grades (FGs) of students based on their historical performance of grades. The proposal …

The use of machine learning with educational data mining (EDM) to predict learner
performance has always been an important research area. Predicting academic results is …

Educational data mining has become an effective tool for exploring the hidden relationships
in educational data and predicting students' academic achievements. This study proposes a …

Universities gather large volumes of data with reference to their students in electronic form.
The advances in the data mining field make it possible to mine these educational data and …

The ability to predict the performance tendency of students is very important to improve their
teaching skills. It has become a valuable knowledge that can be used for different purposes; …

Recently, educational institutions faced many challenges. One of these challenges is the
huge amount of educational data that can be used to discover new insights that have a …

Abstract Information is everywhere in a hidden and scattered way. It becomes useful when
we apply Data mining to extracts the hidden, meaningful, and potentially useful patterns from …

Machine learning is emerging nowadays as an important tool for decision support in many
areas of research. In the field of education, both educational organizations and students are …

Predicting the performance of a student is a great concern to the higher education
managements. The scope of this paper is to identify the factors influencing the performance …

Abstract Nowadays, Educational Data Mining (EDM), begun as a new research area due to
the broadening of numerous statistical approaches that are used to perform data exploration …