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What Constitutes an "Opportunity to Learn" in Teacher Preparation

Bibliographic Data

ID4745692
AuthorsJulie Cohen (0000-0001-6794-7993, University of Virginia, Charlottesville, USA, corresponding author), Rebekah Berlin (0000-0001-6154-3621, Deans for Impact, Austin, TX, USA)
Year2020
Volume71
Issue4
Pages434-448
Publication date2020-09-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Teacher Education (JOURNAL)
Journal identifiersISSN: 0022-4871 • E-ISSN: 1552-7816
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/0022487119879893
OpenAlexW2980143890
LanguageEN
Citations received14
References cited57

Teacher education research is in still in the process of developing a robust set of tools that can measure the key features of coursework and fieldwork. This article focuses on the design of measures of "opportunities to learn" (OTLs) in content method courses that can be used across large populations of candidates at diverse preparation programs. We draw on the survey and interview data from a broader, longitudinal study of teacher preparation across four programs in the United States ( n = 455 candidates). Variance decomposition suggests far greater within-program variation than between-program variation in reported OTL. More nuanced analyses at a single university indicate significant associations between individual characteristics and reports of OTL, suggesting that self-reports of OTL may tell us more about the candidates who complete a survey than the programs that prepare them. Discussion focuses on implications for teacher education research and next steps for studying OTL in methods coursework

Coursework · Mathematics education · Pedagogy · Process (computing) · Set (abstract data type) · Teacher education · Teacher Preparation · Variance (accounting) · Variation (astronomy) · Computer Science · Educator Training and Historical Pedagogy · Psychology · School Choice and Performance · Teacher Education and Leadership Studies

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Unique citing works14
Citations per year2,8
Citation span2021 - 2026 (6)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 14

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