The last few years have witnessed an upsurge in the number of studies using Machine and
Deep learning models to predict vital academic outcomes based on different kinds and …

Educational data mining (EDM) is the application of data mining in the educational field.
EDM is used to classify, analyze, and predict the students' academic performance, and …

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

Computer programming has attracted a lot of attention in the development of information and
communication technologies in the real world. Meeting the growing demand for highly …

Social isolation during the pandemic contributed to the transition of educational processes to
e-learning. A short-term e-marketing education program for a variety of students was …

Machine learning algorithms have been used in many fields, like economics, medicine, etc.
Education data mining is one of the areas concerned with exploring patterns of data in an …

The increased availability of technology in higher education has led to the growth of online
learning platforms. However, a significant concern exists regarding dropout rates in online …

This study explores a student-centered teaching method in postgraduate courses. Teacher-
centered classroom teaching cannot fully stimulate learning initiative and enthusiasm of …

Currently, data mining is being needed in various fields to obtain analysis results from
certain aspects that are needed. One of the fields that make use of data mining is education …