The new educational models such as smart learning environments use of digital and context‐
aware devices to facilitate the learning process. In this new educational scenario, a huge …

Most research on learning technology uses clickstreams and questionnaires as their primary
source of quantitative data. This study presents the outcomes of a systematic literature …

Multimodal learning (MML) aims to jointly exploit the common priors of different modalities to
compensate for their inherent limitations. However, existing MML methods often optimize a …

Understanding and improving education are critical goals of learning analytics. However,
learning is not always mediated or aided by a digital system that can capture digital traces …

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 …

Significant progress to integrate and analyse multimodal data has been carried out in the
last years. Yet, little research has tackled the challenge of visualising and supporting the …

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 …

Multimodal learning analytics (MMLA), which has become increasingly popular, can help
provide an accurate understanding of learning processes. However, it is still unclear how …

Since the emergence of learning analytics (LA) in 2011 as a distinct field of research and
practice, multimodal learning analytics (MMLA), shares an interdisciplinary approach to …

Multimodal data have the potential to explore emerging learning practices that extend
human cognitive capacities. A critical issue stretching in many multimodal learning analytics …