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Articles

A comparative synthesis of UK mathematics education research: what are we talking about and do we align with international discourse?

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Pages 39-62 | Received 16 Jun 2019, Accepted 10 Jan 2020, Published online: 18 May 2020
 

ABSTRACT

This paper makes an important and original contribution to the updating of methodological approaches to research syntheses. We analysed all 813 Proceedings of the British Society for Research into Learning Mathematics from 2003 to 2018, first using a quantitative corpus-survey and qualitative thematic coding and, again, independently, using topic modelling. We found strong convergence between findings from the different methods. We compare our findings to those from an earlier Proceedings review (1995–2002) and to a recent review of the corpus of publications in the Journal for Research in Mathematics Education and Educational Studies in Mathematics, as well as to a review by the European Society for Research into Learning Mathematics and several other reviews. We found considerable similarity between the issues discussed, and similar trends over time. We conclude that the efficiency of topic modelling makes it a powerful option to include among a range of methodological approaches to research review.

Acknowledgement

The authors would like to thank the British Society for Research into Learning Mathematics (BSRLM) [https://bsrlm.org.uk/] for their support and funding to produce the survey and thematic review underpinning this paper. We would also like to thank the editor and the anonymous reviewers for their very helpful comments on a previous version of this paper.

Data availability

The keyword-groups arising from the survey, the keywords and the 30 TM topics, their characteristic words and the composition of the Proceedings by topic are all available in our dataset at https://doi.org/10.6084/m9.figshare.8282744

Disclosure statement

No potential conflict of interest was reported by the author(s).

Notes

Additional information

Funding

This work was supported by the British Society for Research into Learning Mathematics (BSRLM) [https://bsrlm.org.uk/].

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