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 …

Considering the increasing importance of Artificial Intelligence in Education (AIEd) and the
absence of a comprehensive review on it, this research aims to conduct a comprehensive …

Education is a vital part of the development of society and it is changing over time in terms of
methods, content, concepts, and models. Recently, it has been increasingly prevalent to …

This review pursues a twofold goal, the first is to preserve and enhance the chronicles of
recent educational data mining (EDM) advances development; the second is to organize …

This paper constitutes a literature review on student modeling for the last decade. The
review aims at answering three basic questions on student modeling: what to model, how …

An early warning system can help to identify at-risk students, or predict student learning
performance by analyzing learning portfolios recorded in a learning management system …

This paper provides interested beginners with an updated and detailed introduction to the
field of Intelligent Tutoring Systems (ITS). ITSs are computer programs that use artificial …

The recent diffusion of online education (both MOOCs and e-courses) has led to an
increased economic and scientific interest in e-learning environments. As widely …

The aim of the study was to analyze the correlation between the students' involvement and
their progress within the online component of the blended learning model during the …

Nowadays, the need for e-learning is amplified, especially after the Covid-19 pandemic. E-
learning platforms present a solution for the continuity of the learning process. Learners are …