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 …

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 …

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 …

The objective of this study is to discuss the problems to be come across in new generation
web based educational system designs and the solutions derived for these problems. Some …

This paper presents CourseVis, a system that takes a novel approach of using Web log data
generated by course management systems (CMSs) to help instructors become aware of …

In this paper, we show how using data mining algorithms can help discovering
pedagogically relevant knowledge contained in databases obtained from Web-based …

Predicting the student performance is playing vital role in educational sector so that the
analysis of student's status helps to improve for better performance. Applying data mining …

Market basket analysis (MBA), also known as association rule mining or affinity analysis, is a
data-mining technique that originated in the field of marketing and more recently has been …

Maintaining a model of the learner's understanding as they interact with an e-learning
environment allows adaptation to the learner's educational needs. An Open Learner Model …

Adaptation in e-learning has been an important research topic for the last few decades in
computer-based education. In adaptivity the behaviour of the user triggers some actions in …