Cited by 31Teacher Education and Leadership StudiesMathematics Education and Teaching TechniquesEvaluation of Teaching Practices

A longitudinal study of novice secondary teachers' planning: Year two

Sardo-Brown, Deborah·1996·Teaching and Teacher Education

Integrity signals

Registry

Crossref · 10.1016/0742-051x(95)00056-p

Cites

22 of 22 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

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Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Peer lesson planning could provide evidence of PMTs' MKT because they structure the content in a way that is relevant within a particular context and for a particular group of students.

    “Peer lesson planning (a form of approximations) could provide evidence of PMTs' MKT because they structure the content in a way that is relevant within a particular context and for a particular group of students (Lai & Lam, 2011;Sardo-Brown, 1996).”

Cites

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1 of the 23 references couldn’t be matched to a known paper.

Cited by

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Authors
Sardo-Brown, D.
Venue
Teaching and Teacher Education
Publisher
Elsevier BV
Published
1996-09
Volume
12
Issue
5
Pages
519-530
ISSN
0742-051X (ISSN-L)
OpenAlex
W2076612965
Cited by
31
References
23
Citations by year
2026: 2 · 2024: 2 · 2023: 3 · 2022: 2 · 2019: 1 · 2018: 3 · 2017: 2 · 2016: 3 · 2014: 2 · 2013: 3
FWCI
2.41
Type
journal article
Language
en
Open access
closed
Locations
Teaching and Teacher Education (publishedVersion)
Topics
  • Social Sciences › Education › Teacher Education and Leadership Studies
  • Social Sciences › Education › Mathematics Education and Teaching Techniques
  • Social Sciences › Education › Evaluation of Teaching Practices
Keywords
novice teachers, secondary school teachers, lesson planning, teacher professional development, first-year teaching, assessment planning, teacher role perception

About these checks

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.

Statistics and arithmetic are recomputed, not judged.

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