Due to the growing interest in e-learning as an important process of teaching and learning,
new mechanisms to evaluate its pedagogical effectiveness are necessaries. This review …

The proliferation of mobile devices and the rapid development of information and
communication technologies (ICT) have seen increasingly large volume and variety of data …

In today's global culture where the Internet has established itself as the main tool for
communication and commerce, the capability to massively analyze and predict citizens' …

Academic performance prediction is a fundamental and hot issue in educational data mining
(EDM). Recently, researchers have proposed a series of effective machine learning (ML) …

Educational Data Mining (EDM) is an emerging inter-disciplinary research area that involves
education and computer science. EDM employs data mining tools and techniques, on large …

This paper highlights the importance of using student data to drive improvement in
education planning. It then presents techniques of how to obtain knowledge from databases …

Educational Data Mining (EDM) is an interdisciplinary ingenuous research area that handles
the development of methods to explore data arising in a scholastic fields. Computational …

Predictive analytics is the process of forecasting future courses of action by analyzing
historical and current facts. It's now a priority in many organizations because it can suggest …

This work presents, to the extent of the authors' knowledge, the first systematic literature
review of the application of Deep Learning to Educational Data Mining and Learning …

Este artigo, tendo como foco o quarto desafio da SBC, o qual trata do “Acesso participativo e
universal do cidadão brasileiro ao conhecimento”, apresenta uma análise de melhorias …