The advancement in technology has contributed largely to the application of data mining in
education in recent times. However, selecting appropriate algorithm (s) to “mine” knowledge …

The analysis and evaluation of student achievement is an important part of teaching work
and an important part of school routine management. Scientifically analysing and evaluating …

Abstract Machine learning has emerged as the most widely used tool in resolving
administrative and other educational-related problems like student dropout. Most of the …

The use of ensemble techniques is widely recognized as the most advanced approach to
solving a variety of problems in machine learning. These strategies train many models and …

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 …

Student's performance is a major problem for the society. Rapid growth of technologies and
the application of differentmachine learning methodsin present years, the development of …

In order to improve the teaching quality of online education, the prediction method of
students' online academic performance has been studied. First, the learning analysis …

The modern technologies, which are characterized by cyber-physical systems and internet
of things expose organizations to big data, which in turn can be processed to derive …

The development of intelligent technologies gains popularity in the education field. The
rapid growth of educational data indicates traditional processing methods may have …

The introduction of the Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning
(ML), Deep Learning (DL), and Big Data have paved the way for research focused on …