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

Multimodal learning analytics (MMLA) offers the potential to provide evidence‐based
insights into complex learning phenomena such as collaborative learning. Yet, few MMLA …

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 …

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

Multimodal Learning Analytics (MMLA) innovations make use of rapidly evolving sensing
and artificial intelligence algorithms to collect rich data about learning activities that unfold in …

Embodied collaborative learning, intertwining verbal and physical behaviors, is an intricate
learning process demanding a multifaceted approach for comprehensive understanding …

In co-located situations, team members use a combination of verbal and visual signals to
communicate effectively, among which positional forms play a key role. The spatial patterns …

Collocated teamwork remains a pervasive practice across all professional sectors. Even
though live observations and video analysis have been utilized for understanding embodied …

Identifying students facing difficulties and providing them with timely support is one of the
educator's key responsibilities. Yet, this task is becoming increasingly challenging as the …