As online learning has been widely adopted in higher education in recent years, artificial
intelligence (AI) has brought new ways for improving instruction and learning in online …

We discuss the new challenges and directions facing the use of big data and artificial
intelligence (AI) in education research, policy-making, and industry. In recent years …

In recent years, in the field of education, there has been a clear progressive trend toward
precision education. As a rapidly evolving AI technique, machine learning is viewed as an …

Student dropout is a serious problem globally. It affects not only the individual who drops out
but also the former school, family, and society in general. With the current development of …

Learning analytics (LA) as a research field has grown rapidly over the last decade. However,
adoption of LA is mostly found to be small in scale and isolated at the instructor level. This …

Most work in the design of learning technology uses click-streams as their primary data
source for modelling & predicting learning behaviour. In this paper we set out to quantify …

Dropout is one of the major problems online higher education faces. Early identification of
the dropout risk level and an intervention mechanism to revert the potential risk have been …

Predictive modeling has been a core area of learning analytics research over the past
decade, with such models currently deployed in a variety of educational contexts from …

Featured Application The found model with the best values of the performance metrics,
found as the result of comparing several machine learning classifiers, can identify students …

Abstract MOOCs (Massive Open Online Courses) have usually high dropout rates. Many
articles have proposed predictive models in order to early detect learners at risk to alleviate …