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 …

Innovative information and communication technologies have reformed higher education
from the traditional way to smart learning. Smart learning applies technological and social …

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 …

Social learning analytics (SLA) is a promising approach for identifying students' social
learning processes in computer-supported collaborative learning (CSCL) environments. To …

Predictive modelling of academic success and retention has been a key research theme in
Learning Analytics. While the initial work on predictive modelling was focused on the …

Retention and dropout of higher education students is a subject that must be analysed
carefully. Learning analytics can be used to help prevent failure cases. The purpose of this …

Over the last ten years learning analytics (LA) has grown from a hypothetical future into a
concrete field of inquiry and a global community of researchers and practitioners. Although …

It has been almost a decade since the emergence of learning analytics, a bricolage field of
research and practice that focuses on understanding and optimising learning and learning …

Failing to understand the perspectives of educators, and the constraints under which they
work, is a hallmark of many educational technology innovations' failure to achieve usage in …

There is a growing interest in the research and use of multimodal data in learning analytics.
This paper presents a systematic literature review of multimodal learning analytics (MMLA) …