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 …

In recent years, the evolution of research in the domain of education focuses on learning
analytics which provides vital insights on education outcome by collecting valuable data …

Featured Application The herein survey is among the first research efforts to synthesize the
intelligent models and paradigms applied in education to predict the attainment of student …

Large swaths of data are readily available in various fields, and education is no exception. In
tandem, the impetus to derive meaningful insights from data gains urgency. Recent …

The topic of predictive algorithms is often regarded among the most relevant fields of study
within the data analytics discipline. They have applications in multiple contexts, education …

Improving the quality, developing and implementing systems that can provide advantages to
students, and predicting students' success during the term, at the end of the term, or in the …

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 …

Machine Learning (ML) is expected, in the near future, to provide various venues and
effective tools to improve education in general, and Science-Technology-Engineering …

In this paper, we describe a large-scale study about the use of predictive learning analytics
data with 240 teachers in 10 modules at a distance learning higher education institution. The …

This chapter describes the process, practice, and challenges of using predictive modelling in
teaching and learning. In both the fields of Educational Data Mining (EDM) and Learning …