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Achieving meaningful engagement with a large dataset as part of a reformed A-level Mathematics

Redmond, Benjamin; Golding, Jenefer; Grima, Grace; (2023) Achieving meaningful engagement with a large dataset as part of a reformed A-level Mathematics. In: Proceedings of the 24th annual conference AEA-Europe 2023. AEA-Europe: St Julian's, Malta. Green open access

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Abstract

Drawing on a four-year study (2017-2021) which explored reformed pre-university A-level Mathematics in England, we outline the extent to which students have been able to meaningfully engage with a large dataset-focused component of this qualification, and ways in which enactment of the specification, as well as approaches to assessment, have influenced this. The implication of shifts in practice during Covid are also considered. Mathematics/Further Mathematics A-levels, the calculus-rich pre-university qualifications in England, were reformed for first teaching from September 2017. They include greater content-related scope, and enhanced expectations for mathematical proof, problem solving and modelling. They are terminally assessed by timed written papers. As an aspect of modelling, Mathematics A-level students are required to engage with a large dataset using suitable technology. However, curriculum pressures, as well as limited assessment reward for large dataset work, mean that in study classrooms this element was often sidelined. Access to technology, teachers’ digital pedagogy and students’ IT skills, were also barriers. Pressures associated with covid, and its ongoing impact, then led to further marginalization of the large dataset. Post-covid we saw changes in teachers’ practice and attitudes towards assessment that could offer revitalised approaches for engaging with the large dataset in the future.

Type: Proceedings paper
Title: Achieving meaningful engagement with a large dataset as part of a reformed A-level Mathematics
Event: AEA-Europe annual conference 2023
Location: St Julian's, Malta
Dates: 1 Nov 2023 - 4 Nov 2023
Open access status: An open access version is available from UCL Discovery
Publisher version: https://2023.aea-europe.net/
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Education
UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education
UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education > IOE - Curriculum, Pedagogy and Assessment
URI: https://discovery.ucl.ac.uk/id/eprint/10182040
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