The purpose of this study was to investigate the use of predictive video analytics in online
courses in the literature. A systematic literature review was performed based on a hybrid …

Educators seek to develop accurate and timely prediction models to forecast student
retention and attrition. Although prior studies have generated single point estimates to …

With the increasing attention to artificial intelligence (AI) in education, this study aims to
examine the overall effectiveness of AI on elementary students' mathematics achievement …

Detecting at-risk students provides advanced benefits for improving student retention rates,
effective enrollment management, alumni engagement, targeted marketing improvement …

Learning analytics (LA) has the potential to significantly improve teaching and learning, but
there are still many areas for improvement in LA research and practice. The literature …

Purpose This study aims to investigate the organisational structure to exploit data analytics
in the educational sector. The paper proposes three different organisational configurations …

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 …

In this paper, we examine whether early warning signals from accounting courses (such as
early engagement and early formative performance) are predictive of first-year progression …

Research on the relationship between the digital traces of students in Learning
Management Systems (LMS) and their academic performance has traditionally been an …

Academic performance (AP) is a proper pedagogical strategy to determine acquisition of
learning outcomes. Monitoring is essential for decision-making regarding accompanying …