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

Recently, educational institutions faced many challenges. One of these challenges is the
huge amount of educational data that can be used to discover new insights that have a …

Artificial Intelligence in higher education (AIED) is becoming a more important research area
with increasing developments and application of AI within the wider society. However, as yet …

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 …

A problem that pervades throughout students' careers is their poor performance in high
school. Predicting students' academic performance helps educational institutions in many …

A personal learning environment (PLE) is known as a crucial support for educators who lead
learners through the process of collection, creation, and organization of personalized …

Exploring efficient and stable electrocatalysts for the bifunctional oxygen evolution reaction
(OER) and oxygen reduction reaction (ORR) is vital to developing renewable energy …

The explosive increase in educational data and information systems has led to new teaching
practices, challenges, and learning processes. To effectively manage and analyze this …

Predicting students' academic performance and the factors that significantly influence it can
improve students' completion and graduation rates, as well as reduce attrition rates. In this …

Student success rate is a significant indicator of the quality of the educational services
offered at higher education institutions (HEIs). It allows students to make their plans to …