This paper presents a systematic literature review of the state-of-the-art of research on
learning dashboards in the fields of Learning Analytics and Educational Data Mining …

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 …

Personalized learning has the potential to transfer the focus of higher education from
teacher-centered to learner-centered environments. The purpose of this integrative literature …

Technological advancements have generated a strong interest in exploring learner behavior
data through learning analytics to provide both learner and instructor with process-oriented …

Higher education for the 21st century continues to promote discoveries in the field through
learning analytics (LA). The problem is that the rapid embrace of of LA diverts educators' …

Institutions of higher education are operating in an increasingly complex and competitive
environment. This paper identifies contemporary challenges facing institutions of higher …

Efforts to raise the bar of higher education so as to respond to dynamic societal/industry
needs have led to a number of initiatives, including artificial neural network (ANN) based …

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 …

Big Data refers to large and disparate volumes of data generated by people, applications
and machines. It is gaining increasing attention from a variety of domains, including …

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 …