Academic institutions operate in an extremely demanding and competitive environment.
Some difficulties confronting most schools are delivering high-quality education to the …

Student success is essential for improving the higher education system student outcome.
One way to measure student success is by predicting students' performance based on their …

This study aims to employ the supervised machine learning algorithms to examine factors
that negatively impacted academic performance among college students on probation …

In the last decade, the adoption of technological tools in manufacturing industry, such as the
use of the Internet of Things (IoT) and Machine Learning (ML), has led to the advent of the …

Early prediction of students' learning performance and analysis of student behavior in a
virtual learning environment (VLE) are crucial to minimize the high failure rate in online …

With the development of university campus informatization, effective information mined from
fragmented data can greatly improve the management levels of universities and the quality …

Reducing student attrition in tertiary education plays a significant role in the core mission
and financial well-being of an educational institution. The availability of big data source from …

Education systems have significantly changed with the emergence of the internet. It has a
significant impact on how students learn things. Nevertheless, its impact can also be …

This study aimed to conduct intensive experiments on predictive machine learning models to
predict the parameters behind death due to the coronavirus (COVID-19). Datasets were …

Logistic regression models have traditionally been used to identify the factors contributing to
students' conceptual understanding. With the advancement of the machine learning-based …