This survey is an updated and improved version of the previous one published in 2013 in
this journal with the title “data mining in education”. It reviews in a comprehensible and very …

Study success includes the successful completion of a first degree in higher education to the
largest extent, and the successful completion of individual learning tasks to the smallest …

This study investigates current approaches to learning analytics (LA) dashboarding while
highlighting challenges faced by education providers in their operationalization. We analyze …

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 …

Educational data mining and learning analytics, although experiencing an upsurge in
exploration and use, continue to elude precise definition; the two terms are often …

Learning analytics (LA) is an emerging area that has had extensive development in higher
education in recent years, focused both on the learning process of students within subjects …

The purpose of this chapter is to present a summary of the dashboard and visualization
studies carried out within the scope of learning analytics. Learning analytics dashboards are …

Higher education policies are designed to facilitate students' learning progression and
academic success. Following Tinto's integration theory and Bean's attrition model, this study …

Contemporary education is a vast field that is concerned with the performance of education
systems. In a formal e-learning context, student dropout is considered one of the main …

Educational institutions need to formulate a well-established data-driven plan to get long-
term value from their learning analytics (LA) strategy. By tracking learners' digital traces and …