Considering the increasing importance of Artificial Intelligence in Education (AIEd) and the
absence of a comprehensive review on it, this research aims to conduct a comprehensive …

In recent years, a wide array of tools have emerged for the purposes of conducting
educational data mining (EDM) and/or learning analytics (LA) research. In this article, we …

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 …

This paper constitutes a literature review on student modeling for the last decade. The
review aims at answering three basic questions on student modeling: what to model, how …

We present a method for assessing science inquiry performance, specifically for the inquiry
skill of designing and conducting experiments, using educational data mining on students' …

Increasing widespread use of educational technologies is producing vast amounts of data.
Such data can be used to help advance our understanding of student learning and enable …

Opportunities to apply data mining techniques to analyze educational data and improve
learning are increasing. A multitude of data are being produced by institutional technology, e …

The development of machine learning has promoted the construction of smart education
platforms. It is of great significance to deeply investigate the usage of machine learning …

With the widespread adoption of Learning Management Systems (LMS) and other learning
technology, large amounts of data–commonly known as trace data–are being recorded and …

All forms of learning take time. There is a large body of research suggesting that the amount
of time spent on learning can improve the quality of learning, as represented by academic …