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Mathematics Education resources

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Resource type Mathematical transitions: a report on the mathematical and statistical needs of students undertaking undergraduate studies in various disciplines
Mathematics and Statistics are essential to the university curricula of many disciplines. The purpose of the Higher Education Academy STEM project was to investigate the mathematical and statistical requirements in a range of discipline areas including: Business and Management, Chemistry, Economics, Geography, Sociology and Psychology. Reports were commissioned from discipline experts to provide a strong evidence base to inform developments within the disciplines and dialogue between the higher education and pre-university sectors. This report by Jeremy Hodgen, Mary McAlinden and Anthony Tomei summarises the findings of these project reports and of similar work in other disciplines. It introduces some high-level contextual evidence from the pre-university sector, in particular data about trends in public examinations, and highlights important policy developments in pre-university Mathematics education. The report also includes high level recommendations regarding Mathematics and Statistics within the context of other disciplines, with a particular focus on the point of transition into higher education. (2014)
Resource type Skills in Mathematics and Statistics in Economics and tackling transition
This report by Peter Dawson is one of a series of outputs produced by the Higher Education Academy STEM project: Skills in Mathematics and Statistics in the disciplines and tackling transition. The project seeks to provide a strong evidence base to inform dialogue between the pre-university and higher education sectors about the need for students to develop and apply mathematical and statistical skills within a range of discipline areas within higher education. Throughout a particular emphasis is placed on the transition into university study. The focus of this report is the Economics discipline. The report examines a wide range of factors including the mathematical and statistical skills requirements within the discipline, key sector requirements and entrance qualifications. Evidence collected from a literature review and a discussion event is presented and used to inform findings and recommendations. (2014)

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