Learning analytics can improve learning practice by transforming the ways we support
learning processes. This study is based on the analysis of 252 papers on learning analytics …

We present a systematic literature review of the emerging field of visual learning analytics.
We review existing work in this field from two perspectives: First, we analyze existing …

The analysis of data collected from the interaction of users with educational and information
technology has attracted much attention as a promising approach for advancing our …

This paper aims to provide the reader with a comprehensive background for understanding
current knowledge on Learning Analytics (LA) and Educational Data Mining (EDM) and its …

There are emerging concerns about the Fairness, Accountability, Transparency, and Ethics
(FATE) of educational interventions supported by the use of Artificial Intelligence (AI) …

With the increase in available educational data, it is expected that Learning Analytics will
become a powerful means to inform and support learners, teachers and their institutions in …

By collecting longitudinal learner and learning data from a range of resources, predictive
learning analytics (PLA) are used to identify learners who may not complete a course …

This article introduces learning analytics dashboards that visualize learning traces for
learners and teachers. We present a conceptual framework that helps to analyze learning …

The usage of learning management systems in education has been increasing in the last
few years. Students have started using mobile phones, primarily smart phones that have …

In this paper, we present work on learning analytics that aims to support learners and
teachers through dashboard applications, ranging from small mobile applications to …