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 …

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 …

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 …

One distinctive feature of any adaptive system is the user model that represents essential
information about each user. This chapter complements other chapters of this book in …

In this paper we compare different data mining methods and techniques for classifying
students based on their Moodle usage data and the final marks obtained in their respective …

This paper shows how web usage mining can be applied in e‐learning systems in order to
predict the marks that university students will obtain in the final exam of a course. We have …

Use of machine learning techniques for educational proposes (or educational data mining)
is an emerging field aimed at developing methods of exploring data from computational …

Data pre-processing is the first step in any data mining process, being one of the most
important but less studied tasks in educational data mining research. Pre-processing allows …

Artificial intelligence (AI) provides opportunities to improve the effectiveness of e‐learning by
increasing students' engagement. Adaptive e‐learning uses AI to support individual learners …