This study provides an overview of research on teachers' use of artificial intelligence (AI)
applications and machine learning methods to analyze teachers' data. Our analysis showed …

Although the field of Artificial Intelligence in Education (AIEd) has a substantial history as a
research domain, never before has the rapid evolution of AI applications in education …

Despite the wide adoption of emergency remote learning (ERL) in higher education during
the COVID-19 pandemic, there is insufficient understanding of influencing factors predicting …

One of the develo** fields of the present times is educational data mining that pertains to
develo** methods that help in examining various kinds of data obtained from the …

Due to the widespread use of the Internet of Things (IoT), organizations should concentrate
their efforts on system security. Any vulnerability could lead to a system failure or …

Examining the blended learning (b-learning) acceptance is not a new research topic, and it
has been tackled by many scholars. Nevertheless, the analysis of information systems (IS) …

Successful prediction of student performance has significant impact to many stakeholders,
including students, teachers and educational institutes. In this domain, it is equally important …

This study aims to contribute to expanding international academic interest in enhancing the
business, ecological, and social aspects of Industry 4.0. Specifically, the objectives of this …

In the last two decades, the great technological advances swee** society have made
inroads into the educational sphere. The use of information and communication technology …

Predicting students' performance is one of the most important issues in educational data
mining (EDM), which has received more and more attention. By predicting students' …