As decision‐making increasingly relies on machine learning (ML) and (big) data, the issue
of fairness in data‐driven artificial intelligence systems is receiving increasing attention from …

The use of artificial intelligence and machine learning techniques across all disciplines has
exploded in the past few years, with the ever-growing size of data and the changing needs …

The abundance of accessible educational data, supported by the technology-enhanced
learning platforms, provides opportunities to mine learning behavior of students, addressing …

Several challenges are associated with e‐learning systems, the most significant of which is
the lack of student motivation in various course activities and for various course materials. In …

Online learning platforms such as Massive Open Online Course (MOOC), Virtual Learning
Environments (VLEs), and Learning Management Systems (LMS) facilitate thousands or …

E-learning is achieved by the deep integration of modern education and information
technology, and plays an important role in promoting educational equity. With the …

Research has shown online learners' performance to have a strong association with their
demographic characteristics, such as regional belonging, socio-economic standing …

Clustering algorithms are a class of unsupervised machine learning (ML) algorithms that
feature ubiquitously in modern data science, and play a key role in many learning-based …

Educational systems have advanced with the use of electronic learning (e-learning), which
is a promising solution for long-distance learners. Students who engage in e-learning can …

Artificial intelligence is an emerging technology that revolutionizes human lives. Despite the
fact that this technology is used in higher education, many professors are unaware of it. In …