The last few years have witnessed an upsurge in the number of studies using Machine and
Deep learning models to predict vital academic outcomes based on different kinds and …

Technologies and teaching practices can provide a rich log data, which enables learning
analytics (LA) to bring new insights into the learning process for ultimately enhancing …

Educational data mining is an emerging interdisciplinary research area involving both
education and informatics. It has become an imperative research area due to many …

A significant body of recent research in the field of Learning Analytics has focused on
leveraging machine learning approaches for predicting at-risk students in order to initiate …

This study analyses the potential of a learning analytics (LA) based formative assessment to
construct personalised teaching sequences in Mathematics for 5th‐grade primary school …

Transparency and trustworthiness are among the key requirements for the ethical use of
learning analytics (LA) and artificial intelligence (AI) in the context of social inclusion and …

Student agency, or agency for learning, refers to an individual's ability to act and cause
changes during the learning process. Recently, learning analytics (LA) has demonstrated its …

This study attempts to predict secondary school students' performance in English and
Mathematics subjects using data mining (DM) techniques. It aims to provide insights into …

Increasing productivity in educational systems is of great imprtance. Researchers are keen
to predict the academic performance of students; this is done to enhance the overall …

Globally, the increased demand for engineers is not matched by an increase in graduates.
This is further exacerbated by the fact that student dropout rates in engineering are higher …