In online education systems, for offering proactive services to students (eg, personalized
exercise recommendation), a crucial demand is to predict student performance (eg, scores) …

The increasing popularity of e‐learning has created a need for accurate student
achievement prediction mechanisms, allowing instructors to improve the efficiency of their …

For a productive and a good life, education is a necessity and it improves individuals' life
with value and excellence. Also, education is considered a vital need for motivating self …

Predicting students' performance is one of the most important issues in educational data
mining. In this study, a method for representing students' partial sequence of learning …

The knowledge obtained from data can be useful for the improvement of education systems,
giving rise to a research space called Educational Data Mining (EDM). EDM covers the …

Performance prediction is an important research facet of educational data mining. Most
models extract student behavior features from campus card data for prediction. However …

Educational Data Mining (EDM) is a branch of data mining that focuses on extraction of
useful knowledge from data generated through academic activities at school, college or at …

Abstract-Student performance prediction has a pivotal role in educational institutions,
providing valuable insights into students' academic outcomes and aiding educators in …

Students' academic performance analysis and prediction activities enable the educators to
prevent their students from failure by providing necessary support and counseling. With this …

Predicting student performance supports educational decision-making by allowing directives
and teachers to detect students in special situations (eg students at risk of failing a course or …