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 …

This paper aims to provide the reader with a comprehensive background for understanding
current knowledge on Learning Analytics (LA) and Educational Data Mining (EDM) and its …

In recent years, there has been increasing interest in using the methods of educational data
mining (EDM) and learning analytics (LA) to study and measure learner cognition. In this …

Educational institutions are increasingly turning to learning analytics to identify and
intervene with students at risk of underperformance or discontinuation. However, the extent …

The initial vision for intelligent tutoring systems involved powerful, multi-faceted systems that
would leverage rich models of students and pedagogies to create complex learning …

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 …

In this competitive scenario of the educational system, the higher education institutes use
data mining tools and techniques for academic improvement of the student performance and …

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 …

In this paper, we explore student dropout behavior in Massive Open Online Courses
(MOOC). We use as a case study a recent Coursera class from which we develop a survival …

We review the history and current trends in the field of Educational Data Mining (EDM). We
consider the methodological profile of research in the early years of EDM, compared to in …