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 …

The aim of this paper is to survey recent research publications that use Soft Computing
methods to answer education-related problems based on the analysis of educational data …

In the past decade, we have witnessed a tremendous rise in the use of electronic devices in
education. Starting from nursery classes at the preschool level to the postgraduate programs …

Purpose Educational data mining (EDM) and learning analytics, which are highly related
subjects but have different definitions and focuses, have enabled instructors to obtain a …

This survey is an updated and improved version of the previous one published in 2013 in
this journal with the title “data mining in education”. It reviews in a comprehensible and very …

As an emerging field of research, learning analytics (LA) offers practitioners and researchers
information about educational data that is helpful for supporting decisions in management of …

This chapter looks into examining research studies of the last five years and presents the
state of the art of Learning Analytics (LA) in the Higher Education (HE) arena. Therefore, we …

The growing interest in recent years towards Learning Analytics (LA) and Educational Data
Mining (EDM) has enabled novel approaches and advancements in educational settings …

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 …

Educational data mining and learning analytics have recently emerged as two important
fields aimed at rendering e-learning environments more effective. Aim of this study seeks …