Over the years, personalisation in e‐learning has evolved as a promising paradigm for
matching learners' specific requirements. Although many literature reviews on personalised …

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 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 …

Abstract Research Summary Multimodal data, comprising interdependent unstructured text,
image, and audio data that collectively characterize the same source, with video being a …

Online learning has become increasingly important, having in mind the latest events,
imposed isolation measures and closed schools and campuses. Consequently, teachers …

Purpose Self-regulated learning (SRL) is crucial for successful learning and lifelong learning
in today's rapidly changing world, yet research has shown that many learners need support …

With the wide expansion of distributed learning environments the way we learn became
more diverse than ever. This poses an opportunity to incorporate different data sources of …

Interactive learning is a two-way learning method of learners independently by using
computer and network technology. In the interactive relationships, interactive learning plays …