This study presents the outcomes of a semi‐systematic literature review on the role of
learning theory in multimodal learning analytics (MMLA) research. Based on previous …

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

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 …

Learning analytics uses large amounts of data about learner interactions in digital learning
environments to understand and enhance learning. Although measurement is a central …

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

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 …

The ongoing changes and challenges brought on by the COVID-19 pandemic have
exacerbated long-standing inequities in education, leading many to question basic …

Advancements in Multimodal Learning Analytics (MMLA) have the potential to enhance the
development of effective teamwork skills and foster reflection on collaboration dynamics in …

Prior to the emergence of Big Data and technologies such as Learning Analytics (LA),
classroom research focused mainly on measuring learning outcomes of a small sample …