Educational data mining is an emerging interdisciplinary research area involving both
education and informatics. It has become an imperative research area due to many …

The amount of students' data stored in educational databases is increasing rapidly. These
databases contain hidden patterns and useful information about students' behaviour and …

With the increasing development of universities and institutions of higher education, student
satisfaction is one of the most critical issues for their acceptance to new areas, the main …

The plethora of changes that have taken place in policy formulations on higher education in
recent years in Greece has led to unification, the abolition of departments or technological …

The study period of the student in a tertiary institution is undoubtedly essential in
implementing the objectives of the tertiary institution, particularly for the implementation of …

In this day and age, choosing a career is hard work. Most students do not understand the
concept of work from the early stages of their lives because they lack the development and …

When the binary response variable contains an excess of zero counts, the data are
imbalanced. Imbalanced data cause trouble for binary classification. To simplify the …

In many countries, particularly in Iraq, the students' academic performance (SsAP) system is
based on the final grade scores in high school. This final high school grade may not reflect …

A significant amount of research works has tackled the problem of students' performance
prediction. The introduction of learning management systems enabled providing teachers …

In order to increase student performance, several universities use machine learning to
analyze and evaluate their data so that it enables to improve the quality of education in the …