Generative AI, Maths Education and Employability

Generative AI, Maths Education and Employability examines how generative artificial intelligence (GAI) can support collaboration between maths and vocational teachers to engage learners by embedding numeracy in vocational contexts

The approach comes at a time of significant change in apprenticeships, raising questions about how best to integrate maths into technical education.

Written by David Jennings of DJ Alchemi Ltd, the report explores how teachers used GAI to develop teaching scenarios that link mathematical concepts to workplace tasks. By considering how general mathematical competences apply in real-world settings, maths and vocational teachers developed scenarios that sparked discussions about the challenges of teaching technical knowledge and maths together. The process highlighted ways in which teachers might collaborate more effectively to strengthen learners’ numeracy while making its relevance clearer.

GAI enabled the rapid creation of scenarios that could then be refined and extended, generating additional teaching examples, classroom interactions, and careers information. In each case, AI acted as a tool to support teachers rather than replace them. The report includes example scenarios and a practical toolkit to help educators explore how GAI might influence teaching practice and institutional approaches.

We hope the report will prompt FE teachers to reflect on both the opportunities and challenges that GAI presents.

For more information, please email: daniel.sandfordsmith@gatsby.org.uk

Download the report: Generative AI, Maths Education and Employability