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

Educational data mining is an emerging interdisciplinary research area involving both
education and informatics. It has become an imperative research area due to many …

This systematic literature review aims to identify the recent research trend, most studied
factors, and methods used to predict student academic performance from 2015 to 2021. The …

Abstract Virtual Learning Environments (VLE), such as Moodle and Blackboard, store vast
data to help identify students' performance and engagement. As a result, researchers have …

Machine learning algorithms have been used in many fields, like economics, medicine, etc.
Education data mining is one of the areas concerned with exploring patterns of data in an …

La introducción de la inteligencia artificial (IA) ha supuesto el comienzo de la cuarta
revolución industrial y la génesis de un cambio de paradigma en proceso …

This article provides a thorough review of educational data mining (EDM) in the period 2015-
2019. Going beyond earlier review works, in this article we examine previous research from …

In order to improve the low efficiency of higher education management and the unequal
distribution of curriculum resources, facing the actual situation of higher education …

Higher educational institutes generate massive amounts of student data. This data needs to
be explored in depth to better understand various facets of student learning behavior. The …

With the recent advancements of learning analytics techniques, it is possible to build
predictive models of student academic performance at an early stage of a course, using …