Educational Data Mining (EDM) involves the extraction of concepts and similar useful
information from data sets that store information about academic work. EDM incorporates a …

The presented work is a student marks and grade prediction system using supervised
machine learning techniques, the system is developed on the historic performance of …

Purpose–The purpose of this paper is to develop a holistic model for educational purposes
using data‐mining techniques for exploring the effects of probable changes in processes …

In several areas, including education, the use of machine learning, such as artificial neural
networks, has resulted in significant improvements in predicting tasks. The opacity of these …

Artificial intelligence (AI) in higher education has proven to be a useful learning technology;
it can help learners achieve positive learning outcomes in the learning environment and can …

The Learning Analytics community has recently paid particular attention to early predict
learners' performance. An established approach entails training classification models from …

Data Mining is gaining immense popularity in the field of education due to its predictive
capabilities. But, most of the prior effort in this area is only directed towards prediction of …

Machine learning is emerging nowadays as an important tool for decision support in many
areas of research. In the field of education, both educational organizations and students are …

The large volume of data and its complexity in educational institutions require the sakes from
informative technologies. In order to facilitate this task, many researchers have focused on …

This article primarily focuses on understanding the reasons behind the failure of
undergraduate admission seekers using different machine learning (ML) strategies. An …