WIE Networking Cafes: A monthly chance to chat engagement

What are they?

Warwick Institute of Engagement are hosting a series of monthly Networking Cafes. These are chance for anyone with an interest in public engagement to get together for a coffee, lunch, or some cake and chat about public engagement. Each session will have a theme we're exploring, but these are intended as conversation starters and questions to connect people rather than a formal training session on the topic.

Can anyone come along?

Yes! We're more than happy to see academic/ teaching staff, technicians, professional services, students and anyone else come and join us. Please just sign up in advance so we know to expect you. You don't need to be an expert in public engagement, just someone who's interested in talking about it.

We know the timing isn't great for students so we'll also put on some extra sessions particularly for our student public engagement enthusiasts at least once a term.

Upcoming sessions

Thursday 24 November, 12:30-1:30pm - Audiences

Wolfson Research Exchange, The Library
This session is being hosted by our audiences learning circle and we'll be talking about audiences and how we make engagement work for different audiences.

Thursday 15 December, 12:30-1:30pm - Evaluation

Wolfson Research Exchange, The Library
This session we'll be working with our evaluation learning circle and talking about how we evaluate our engagement (and if you evaluate your engagement?).

Please register so we know you're coming (it helps us cater for the right numbers and stop food waste)

Dr. Chiara Gambi will be giving a talk next Wednesday, on the 26^th Oct 12pm-1pm, via Teams. The details are as follows:

Title: Predicting to learn? The role of prediction (error) in children’s language processing and acquisition

Abstract:

Starting from around their second birthday, children can quickly recognize the words they hear; what’s more, they can even predict upcoming words ahead of hearing them. Recent years have seen a surge in interest in the hypothesis that children’s ability to predict upcoming language may be key to the process of language acquisition, a hypothesis that is incorporated in influential computation models of language learning. Central to these models, in particular, is the idea that predictions drive learning when they are incorrect, because incorrect predictions, when compared to the input, generate informative learning signals (prediction error). But what is the evidence that children predict to learn? In this talk, I will present data from a series of large-scale studies of children aged 2 to 10 years, examining the role of prediction error in children’s learning of novel vocabulary and difficult sentence structures. Overall, these data paint a more complex picture than suggested by current computational models of the role of prediction error in children’s learning. Specifically, I will argue prediction error may support learning of sequential regularities earlier in development than it does learning of new words.

Email Mingtong LiLink opens in a new window for Teams link.