People often rely on the covariation between events to infer causality. However, covariation between cues and outcomes may change over time. In the associative learning literature, extinction provides a model to study updating of causal beliefs when a previously established relationship no longer holds. Prediction error theories can explain both…

This report sets out the findings of the technical development work completed as part of the Use Cases for Generative AI in Education project, commissioned by the Department for Education (DfE) in September 2023. It has been published alongside the User Research Report, which sets out the findings from the ongoing user engagement activity…

Researching in heterogeneous communities can present challenges for the most experienced of researchers, especially in the context of ethnographic work, where the dynamism and unpredictability of a research setting can make it difficult to anticipate the languages spoken. Drawing on data from multilingual health consultations, I reflect on…