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

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 …

As Large Language Models (LLMs) gain in popularity, it is important to understand how
novice programmers use them and the effect they have on learning to code. We present the …

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 …

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 …

The main objective of this study is to apply data mining techniques to predict and analyze
students' academic performance based on their academic record and forum participation …

Exploring how learners' knowledge states evolve during the learning activities is a critical
task in online learning systems, which can facilitate personalized services downstream, such …

Constructionism can be a powerful framework for teaching complex content to novices. At
the core of constructionism is the suggestion that by enabling learners to build creative …