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An Empirical Study of the Dimensionality of the Mathematical Knowledge for Teaching Construct

Bibliographic Data

ID4309780
AuthorsYasemin Copur-Gencturk (0000-0001-8819-3035, University of Southern California, Los Angeles, USA, corresponding author), Tammy Tolar (University of Houston, TX, USA), Tammy D Tolar (0000-0002-1081-3166, University of Houston), Erik Jacobson (0000-0003-2534-0557, Indiana University Bloomington), Weihua Fan (0000-0002-0473-1025, University of Houston, TX, USA)
Year2019
Volume70
Issue5
Pages485-497
Publication date2019-11-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Teacher Education (JOURNAL)
Journal identifiersISSN: 0022-4871 • E-ISSN: 1552-7816
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/0022487118761860
OpenAlexW2792647118
LanguageEN
Citations received9
References cited28

This study explores the dimensionality of mathematical knowledge needed by elementary school teachers. Specifically, we focus on the construct of Mathematical Knowledge for Teaching to investigate whether common mathematical content knowledge (the generic mathematical knowledge that is held by an educated adult), specialized content knowledge (the content knowledge that is unique to teaching), and pedagogical content knowledge (knowledge of the content, students, and teaching) can be distinguished empirically. Findings from a secondary analysis of data collected from upper elementary teachers in the Measures of Effective Teaching project ( N = 397) suggest the most parsimonious explanation of Mathematical Knowledge for Teaching construct is that it is unidimensional. We argue, based on the findings and limitations we identified, that researchers should reconsider both the structure of the components that make up the content knowledge for teaching and the effects of item design on the dimensionality of the construct

Construct (python library) · Content (measure theory) · Curse of dimensionality · Mathematics education · Artificial Intelligence · Cognitive and developmental aspects of mathematical skills · Computer Science · Mathematics · Mathematics Education and Teaching Techniques · Psychology · Statistics Education and Methodologies

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Unique citing works9
Citations per year1,8
Citation span2021 - 2026 (6)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 9

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