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Measuring Mathematics Teaching Quality

The State of the Field and a Call for the Future

Bibliographic Data

ID22044643
AuthorsMelissa A Gallagher (0000-0002-0678-4163, European Council, corresponding author), Timothy D Folger (0000-0002-2621-343X, Binghamton University), Temple A Walkowiak (0000-0002-3755-0255, North Carolina State University), Anne Garrison Wilhelm (0000-0002-4884-8479, Southern Methodist University), Jeremy Zelkowski (0000-0002-5635-4233, University of Alabama)
Year2025
Volume15
Issue9
Pages1158
Publication date2025-09-04
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEducation Sciences (JOURNAL)
Journal identifiersISSN: 2227-7102 • E-ISSN: 2227-7102
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/educsci15091158
OpenAlexW4413982330
LanguageEN
Citations received1
References cited108

To better understand how teaching quality has been conceptualized and measured within the sub-field of mathematics education, we conducted a systematic review of 24 journals to identify instruments that have been used to measure mathematics teaching quality; which instruments have interpretation and use statements; and the validity, reliability, and fairness evidence for each instrument. We found 47 instruments with validity, reliability, and fairness evidence. These instruments primarily captured teachers’ enactment of specific teaching practices through classroom observations or student questionnaires. Some instruments captured approximations of practice through teacher questionnaires or interviews. Only two instruments presented an integrated interpretation and use argument (IUA) framework, although eleven included at least one component of an IUA framework. We found that measure developers were most likely to present reliability evidence and evidence related to test content, internal structure, and relations to other variables. They were least likely to present evidence related to response processes, consequences of testing, or fairness. These findings suggest that although there are many instruments of mathematics teaching quality, instrument developers still have considerable work to do in collecting and presenting validity and fairness evidence for these instruments

Algorithm · Epistemology · Mathematics education · Computer Science · Mathematics · Mathematics Education and Teaching Techniques · Psychology · School Choice and Performance · Teacher Education and Leadership Studies

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Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

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