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An examination of pre-service mathematics teachers’ ethical reasoning in big data with considerations of access to data
Malmö University, Faculty of Education and Society (LS), Department of Natural Science, Mathematics and Society (NMS). Malmö University, Disciplinary literacy and inclusive teaching.ORCID iD: 0000-0002-8534-6320
University of North Carolina at Charlotte, Unitied states.ORCID iD: 0000-0002-8428-7971
2023 (English)In: Journal of Mathematical Behavior, ISSN 0732-3123, E-ISSN 1873-8028, Vol. 70, p. 101029-101029, article id 101029Article in journal (Refereed) Published
Abstract [en]

Implementations of Big Data analysis are reshaping society. The novel ways mathematics operate in society warrants new efforts for mathematics education, both in teaching the new technology and in providing an ethical and critical awareness of its implications. This interview study investigates pre-service teachers' ethical reasoning in data science contexts, focusing on aspects of access to the data that underpin the technology. Findings show that pre-service teachers offer a wide array of ethical arguments related to access to data, that informs their effort to think critically on oppressive situations. However, there is also an indication that their reasoning can be limited by lacking understanding of the related data science methodology, implying that mathematics teacher education should encompass more of this.

Place, publisher, year, edition, pages
Elsevier, 2023. Vol. 70, p. 101029-101029, article id 101029
Keywords [en]
Ethics; Big data analysis; Critical thinking; Social sustainability; Access to data
National Category
Didactics
Identifiers
URN: urn:nbn:se:mau:diva-58244DOI: 10.1016/j.jmathb.2022.101029ISI: 000968805700001Scopus ID: 2-s2.0-85146866782OAI: oai:DiVA.org:mau-58244DiVA, id: diva2:1737134
Available from: 2023-02-15 Created: 2023-02-15 Last updated: 2026-02-19Bibliographically approved
In thesis
1. (Im)possibility of Critical AI Literacy in Mathematics Education
Open this publication in new window or tab >>(Im)possibility of Critical AI Literacy in Mathematics Education
2026 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The thesis examines how critical AI literacy can come to be in mathematics education. This is explored in relation to steering documents, pre-service teacher education, and classroom context. The results indicate that mathematics education with critical and ethical perspectives on AI technology is didactically possible, in the sense that teacher education and mathematics lessons can be shaped around such goals. However, the results also indicate that the traditions of mathematics education and expectations about what mathematics and mathematics education are and should be, are characterized by notions that contrast with such learning about AI technology.

Place, publisher, year, edition, pages
Malmö: Malmö University Press, 2026. p. 179
Series
Malmö Studies in Educational Sciences, ISSN 1651-4513 ; 2026: 115
National Category
Didactics
Identifiers
urn:nbn:se:mau:diva-82740 (URN)10.24834/isbn.9789178777518 (DOI)978-91-7877-750-1 (ISBN)978-91-7877-751-8 (ISBN)
Public defence
2026-03-27, D138, Orkanen, Nordenskiöldsgatan 10, Malmö, 13:15 (English)
Opponent
Supervisors
Available from: 2026-02-19 Created: 2026-02-19 Last updated: 2026-03-06Bibliographically approved

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Andersson, Christian H.

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