According to various international reports, Artificial Intelligence in Education (AIEd) is one of
the currently emerging fields in educational technology. Whilst it has been around for about …

In recent years, in the field of education, there has been a clear progressive trend toward
precision education. As a rapidly evolving AI technique, machine learning is viewed as an …

Predicting students' performance is one of the most important topics for learning contexts
such as schools and universities, since it helps to design effective mechanisms that improve …

The ability to predict student performance in a course or program creates opportunities to
improve educational outcomes. With effective performance prediction approaches …

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

In the field of educational technology, Artificial Intelligence in Education (AIEd) is an
emerging field that is projected to have a profound impact on the teaching and learning …

Retention and dropout of higher education students is a subject that must be analysed
carefully. Learning analytics can be used to help prevent failure cases. The purpose of this …

The aim of this paper is to survey recent research publications that use Soft Computing
methods to answer education-related problems based on the analysis of educational data …

Effective candidates screening is critical for any IT firm as it impacts the future growth and
productivity of that firm. Currently majority of these firms follow a manual approach of hiring …

Objectives: To make a systematic review of literature on the prediction of university student
dropout through data mining techniques. Methods/Analysis: The study was developed as a …