Abstract Background The use of Artificial Intelligence or AI is rising in higher education. With
this rise, the morality of AI programs is being questioned. There is, as such, a need to …

The integration of machine learning (ML) systems into various sectors, notably education,
has great potential to transform business workflows and decision-making processes …

Predictive analytics methods in education are seeing widespread use and are producing
increasingly accurate predictions of students' outcomes. With the increased use of predictive …

A key goal of educational institutions around the world is to provide inclusive, equitable
quality education and lifelong learning opportunities for all learners. Achieving this requires …

The greater the proliferation of AI in educational contexts, the more important it becomes to
ensure that AI adheres to the equity and inclusion values of an educational system or …

Learning analytics (LA), like much of machine learning, assumes the training and test
datasets come from the same distribution. Therefore, LA models built on past observations …

To promote cross-community dialogue on matters of significance within the field of learning
analytics], we as editors-in-chief of the Journal of Learning Analytics have introduced a …

The increasing use of machine learning in learning analytics (LA) has raised significant
concerns around algorithmic fairness and privacy. Synthetic data has emerged as a dual …

Researchers have focused extensively on understanding the factors influencing students'
academic achievement over time. However, existing longitudinal studies have often …

In recent years, predictive models have been increasingly used by education practitioners
and stakeholders to leverage actionable insights to support student success. Usually, model …