Cited by 8Mathematics Education and Teaching TechniquesTeacher Education and Leadership StudiesScience Education and Pedagogy

Characterizing prospective secondary teachers’ foundation and contingency knowledge for definitions of transformations

Open access
Lai, Yvonne, Lischka, Alyson E., Strayer, Jeremy F., Adamoah, Kingsley·2023·The Journal of Mathematical Behavior

Integrity signals

Registry

Crossref · 10.1016/j.jmathb.2022.101030

Cites

3 of 3 references verified0 citation errors · 0 not checkable

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  • The suggested approximations have a potential to address the challenges that secondary teacher preparation faces, namely that PMTs struggle to connect content knowledge with the work of secondary teaching.

    “Our suggested approximations have a potential to address the challenges that the secondary teacher preparation face (i.e., PMTs struggle connect content knowledge with the work of secondary teaching [Lai et al., 2023]).”

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Authors
Lai, Y., Lischka, A. E., Strayer, J. F., & Adamoah, K.
Affiliations
  • University of Nebraska–Lincoln (US)
  • Middle Tennessee State University (US)
Corresponding author
Lai, Yvonne
Venue
The Journal of Mathematical Behavior
Publisher
Elsevier BV
Published
2023-06
Volume
70
Pages
101030
ISSN
0732-3123 (ISSN-L)
OpenAlex
W4320473790
Cited by
8
References
3
Citations by year
2026: 2 · 2025: 1 · 2024: 5
FWCI
3.58
Type
journal article
Language
en
Open access
Locations
The Journal of Mathematical Behavior (acceptedVersion)
Funders
National Science Foundation (DUE 1726744, DUE-1726723, 1726744, 1726723)
Topics
  • Social Sciences › Education › Mathematics Education and Teaching Techniques
  • Social Sciences › Education › Teacher Education and Leadership Studies
  • Social Sciences › Education › Science Education and Pedagogy
Keywords
prospective secondary teachers, mathematical knowledge for teaching, Knowledge Quartet, geometry teaching, transformation, analytical framework, teacher professional development

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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