The number of journals, and consequently the number of papers, has grown significantly,
which makes it necessary to use suitable tools in systematic literature reviews. Several …

Association rule mining is a widely used data mining technique in various domains. It
enables the identification of trends, frequent patterns, and relationships among the data …

Integrating machine learning (ML) methods in educational research has the potential to
greatly impact upon research, teaching, learning and assessment by enabling personalised …

The academic intervention to predict at-risk higher education (HE) students requires
effective data model development. Such data modelling projects in the HE context may have …

Academic performance is a crucial issue in the field of Online learning analytics. While deep
learning-based models have made significant progress in the era of big data, many of these …

The universities and institutes produce a large amount of student data that can be used in a
disciplinary way and useful information can be extracted by using an automated approach …

Learner assessment is central to determining students' progress in every educational
establishment. Evaluating students' performance, however, has become a daunting task as …

The rising adoption of learning analytics and academic performance prediction technologies
in higher education highlights the urgent need for transparency and explainability. This …

Artificial Intelligence (AI) and Deep Reinforcement Learning (DRL) have revolutionised e-
learning by creating personalised, adaptive, and secure environments. However, challenges …

Drowsiness is a main factor for various costly defects, even fatal accidents in areas such as
construction, transportation, industry and medicine, due to the lack of monitoring vigilance in …