Most work in the design of learning technology uses click-streams as their primary data
source for modelling & predicting learning behaviour. In this paper we set out to quantify …

Socio-spatial learning analytics (SSLA) is an emerging area within learning analytics
research that seeks to uncover valuable educational insights from individuals' social and …

Multimodal Learning Analytics (MMLA) innovations are commonly aimed at supporting
learners in physical learning spaces through state-of-the-art sensing technologies and …

Este trabajo identifica cinco grandes ámbitos de desarrollo en torno a los cuales se articulan
algunos de los retos más importantes que enfrentan los modelos emergentes de …

The question:“What is an appropriate role for AI?” is the subject of much discussion and
interest. Arguments about whether AI should be a human replacing technology or a human …

Simulation‐based learning provides students with unique opportunities to develop key
procedural and teamwork skills in close‐to‐authentic physical learning and training …

As artificial intelligence (AI) increasingly enters K-12 classrooms, what do teachers and
students see as the roles of human versus AI instruction, and how might educational AI …

Multimodal learning analytics (MMLA) has increasingly been a topic of discussion within the
learning analytics community. The Society of Learning Analytics Research is home to the …

Using data to generate a deeper understanding of collaborative learning is not new, but
automatically analyzing log data has enabled new means of identifying key indicators of …

This paper presents Moodoo, a system that models how teachers make use of classroom
spaces by automatically analysing indoor positioning traces. We illustrate the potential of the …