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 …

Throughout the centuries, nature has been a source of inspiration, with much still to learn
from and discover about. Among many others, Swarm Intelligence (SI), a substantial branch …

At present times, Blockchain technology is gaining more attraction with every passing day,
as it has revolutionized the traditional trade due to its distributed ledger feature, every record …

Over the past year, defined by the COVID-19 pandemic, we have witnessed a boom in
applying key emerging technologies in education. In such challenging situations, technology …

Feature Selection (FS) is considered a crucial step in machine learning and data mining
tasks, which facilitates minimizing the direct consequence of redundant and irrelevant …

Feature selection (FS) is a crucial step in machine learning and data mining projects. It aims
to remove redundant and uncorrelated features, thus improving the accuracy of models …

In the last decade, artificial intelligence (AI), machine learning (ML) and learning data
analytics have been introduced with great effect in the field of higher education. However …

Predicting university student graduation is a beneficial tool for both students and institutions.
With the help of this predictive capacity, students may make well-informed decisions about …

Maintaining student engagement is pivotal in the rapidly evolving landscape of online
education. The factors that affect and predict students' satisfaction during online learning are …

ABSTRACT Aim/Purpose Drawing on transactional distance theory (TDT) and collaborative
learning, this research proposes a research model to examine the role of collaborative …