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 …

This article provides a comprehensive review of current practices and methodologies within
the field of learning analytics, structured around a dedicated closed-loop framework. This …

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 …

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 …

This research paper explores the potential impact of artificial intelligence (AI) on higher
education. The integration of AI has the potential to revolutionize teaching and learning …

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 …

Generative artificial intelligence (GenAI), exemplified by ChatGPT, Midjourney, and other
state-of-the-art large language models and diffusion models, holds significant potential for …

Embodied team learning is a form of group learning that occurs in co-located settings where
students need to interact with others while actively using resources in the physical learning …

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

Central to imagining the future of technology-enhanced professional learning is the question
of how data are gathered, analyzed, and fed back to stakeholders. The field of learning …