Open data, private learners: a de-identified student activity and performance dataset for learning analytics

Learning Analytics leverages students’ digital interaction data to study and optimize learning processes, but while expanding research collaboration, it also raises significant privacy concerns, addressed here through a publicly shared, de-identified clickstream dataset with documented validation.

https://www.nature.com/articles/s41597-026-06821-3