There is a growing awareness among researchers about the apparent variations in the
academic performance of students in tertiary institutions. Although, many studies have …

The use of machine learning techniques in higher education can be beneficial in optimizing
teaching and providing higher institutions with the solutions they need, like monitoring …

In several areas, including education, the use of machine learning, such as artificial neural
networks, has resulted in significant improvements in predicting tasks. The opacity of these …

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

The objective of this research is to develop an machine learning (ML)-based system that
evaluates the performance of high school students during the semester and identify the most …

The use of machine learning and data mining in the educational field to predict student
performance, known as educational data mining, which has always been an important study …

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 …

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 …

Academic success for students in any educational institute is the primary requirement for all
stakeholders, ie, students, teachers, parents, administrators and management, industry, and …

In higher education, student learning relies increasingly on autonomy. With the rise in
blended learning, both online and offline, students need to further improve their online …