The advancement of artificial intelligence in education (AIED) has the potential to transform
the educational landscape and influence the role of all involved stakeholders. In recent …

The Covid-19 pandemic and the social distancing that followed have affected all walks of
society, also education. In order to keep education running, educational institutions have …

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

“Biggs and Tang, now with Kennedy, have ensured this new edition remains an international
leader for university teaching for the next decade.” Denise Chalmers AM, Emeritus …

Digital data are transforming higher education (HE) to be more student‐focused and metrics‐
centred. In the UK, capturing detailed data about students has become a government …

In this paper, we explore how the development and affordances of predictive analytics may
impact how teachers and other educational actors think about and teach students and, more …

Understanding students' privacy concerns is an essential first step toward effective privacy‐
enhancing practices in learning analytics (LA). In this study, we develop and validate a …

Multimodal learning analytics (MMLA) has increasingly been a topic of discussion within the
learning analytics community. The Society of Learning Analytics Research is home to the …

Within the rough ground that is the field of education there is a complex web of ethical
obligations: to prepare our students for their future work; to be ethical as educators in our …

For the developers of next‐generation education technology (EdTech), the use of Learning
Analytics (LA) is a key competitive advantage as the use of some form of LA in EdTech is fast …