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1、GENERATIVE AI IN MATHS EDUCATION AND EMPLOYABILITYA REPORT TO THE GATSBY FOUNDATIONDAVID JENNINGS,DJ ALCHEMI LTDFebruar y 2025ACKNOWLEDGEMENTSThanks to the teachers who participated in the workshop reported in Section 3,and to Professor Geoff Wake for both convening the workshop and for contributing

2、 to the ideas behind the report.Thanks also to Daniel Sandford Smith for steering the work and the report through two iterations and to Seb Schmoller for helpful suggestions on draft versions.DISCLAIMERThe views and opinions expressed in this report are those of the author and do not necessarily sta

3、te or reflect those of the Gatsby Charitable Foundation.1GENERATIVE AI IN MATHS EDUCATION AND EMPLOYABILITY1.INTRODUCTION AND BACKGROUND PURPOSEThe Gatsby Foundation wants to explore the potential roles that generative artificial intelligence(GAI)might have in the education for employability field.A

4、s a test case,Gatsby chose maths taught in vocational settings because of the different types of teachers involved maths teachers and vocational teachers which provided the opportunity to see if GAI might enable new ways for them to work together.This report sets out our initial findings on a proces

5、s that involves these teachers and potentially other education professionals in mapping and planning future applications of GAI for vocational maths education.APPLICATION AREASWe identified three semi-distinct application areas within the field:learning maths,both as a subject in itself and as part

6、of occupation-specific vocational courses careers advice institutional concerns about the use of GAI,for example,for governance,regulations,taxonomies and standards to prevent harm.This report focuses on the first of these areas,the learning and teaching of maths.The work reported here is modest in