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 …

Presently, educational institutions compile and store huge volumes of data, such as student
enrolment and attendance records, as well as their examination results. Mining such data …

Applying data mining (DM) in education is an emerging interdisciplinary research field also
known as educational data mining (EDM). It is concerned with developing methods for …

Learning analytics is a significant area of technology-enhanced learning that has emerged
during the last decade. This review of the field begins with an examination of the …

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 …

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 …

Abstract Educational Data Mining field concentrate on Prediction more often as compare to
generate exact results for future purpose. In order to keep a check on the changes occurring …

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 study aimed to investigate the effect of academic procrastination on e-learning course
achievement. Because all of the interactions among students, instructors, and contents in an …