Recent increase in the availability of learning data has given educational data mining an
importance and momentum, in order to better understand and optimize the learning process …

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 …

The abundance of accessible educational data, supported by the technology-enhanced
learning platforms, provides opportunities to mine learning behavior of students, addressing …

Learning analytics is the analysis of electronic learning data which allows teachers, course
designers and administrators of virtual learning environments to search for unobserved …

The generation and processing of data through digital technologies is an integral element of
contemporary society, as reflected in recent debates over online data privacy,'Big Data'and …

Despite the potential of learning analytics for personalized learning, it has seldom been
used to support collaborative learning particularly in face-to-face (F2F) learning contexts …

The process of using analytic data to inform instructional decision-making is acknowledged
to be complex; however, details of how it occurs in authentic teaching contexts have not …

Formative assessment is considered to be helpful in students' learning support and teaching
design. Following Aufschnaiter's and Alonzo's framework, formative assessment practices of …

Where is the evidence for learning analytics? In particular, where is the evidence that it
improves learning in practice? Can we rely on it? Currently, there are vigorous debates …

The evidence shows that the use of learning analytics to improve and to innovate learning
and teaching in Europe is still in its infancy. The high expectations have not yet been …