Evolutionary Computation (EC) approaches are inspired by nature and solve optimization
problems in a stochastic manner. They can offer a reliable and effective approach to address …

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 …

The potential influence of data mining analytics on the students' learning processes and
outcomes has been realized in higher education. Hence, a comprehensive review of …

Abstract Association Rule Mining (ARM) is a significant task for discovering frequent patterns
in data mining. It has achieved great success in a plethora of applications such as market …

Frequent itemset mining (FIM) is an essential task within data analysis since it is responsible
for extracting frequently occurring events, patterns, or items in data. Insights from such …

Abstract Educational Data Mining (EDM) is the field of using data mining techniques in
educational environments. There exist various methods and applications in EDM which can …

Applying data mining (DM) in education is an emerging interdisciplinary research field also
known as educational data mining (EDM). It is concerned with developing methods for …

El sector educativo puede enriquecerse con la incorporación de la inteligencia artificial (IA)
en diversos aspectos. El campo de la inteligencia artificial y sus aplicaciones en el sector …

The educational sector can be enriched by the incorporation of artificial intelligence (AI) in
various aspects. The field of artificial intelligence and its applications in the education sector …

Early warning systems have been progressively implemented in higher education
institutions to predict student performance. However, they usually fail at effectively …