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 …

Educational data mining (EDM) is an emerging interdisciplinary research area that deals
with the development of methods to explore data originating in an educational context. EDM …

Currently there is an increasing interest in data mining and educational systems, making
educational data mining as a new growing research community. This paper surveys the …

Educational data mining is an emerging discipline, concerned with developing methods for
exploring the unique types of data that come from the educational context. This work is a …

This chapter aims to provide an up-to-date snapshot of the current state of research and
applications of Data Mining methods in e-learning. The cross-fertilization of both areas is still …

Educational data mining is an emerging trend, concerned with developing techniques for
exploring, and analyzing the huge data that come from the educational context. EDM is …

This work describes the application of subgroup discovery using evolutionary algorithms to
the usage data of the Moodle course management system, a case study of the University of …

Research related to online discussions frequently faces the problem of analyzing huge
corpora. Natural Language Processing (NLP) technologies may allow automating this …

This paper introduces a hybridization approach of AI techniques and statistical tools to
evaluate and adapt the e-learning systems including e-learners. Learner's profile plays a …

The Internet and the advance of telecommunication technologies allow us to share and
manipulate information in nearly real time. This reality is determining the next generation of …