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Resources for teaching: Examining personal and institutional predictors of high-quality instruction

Resource Type
Dataset : administrative records data, observational data, survey data
  • Hill, Heather C. (Harvard Graduate School of Education)
  • Blazar, David (University of Maryland College Park)
  • Lynch, Kathleen (Brown University)
Publication Date
Funding Reference
  • United States Department of Education. Institute of Education Sciences
    • Award Number: R305C090023
  • National Science Foundation
    • Award Number: 0918383
Free Keywords
  • Abstract

    Policymakers and researchers have for many years advocated disparate approaches to ensuring teachers deliver high-quality instruction, including requiring that teachers complete specific training requirements, possess a minimum level of content knowledge, and use curriculum materials and professional development resources available from schools and districts. In this paper, we investigate the extent to which these factors, which we conceptualize as resources for teaching, predict instructional quality in upper elementary mathematics classrooms. Results show that teachers’ mathematical knowledge and their district context explained a moderate share of the variation in mathematics-specific teaching dimensions; other factors, such as teacher experience, preparation, non-instructional work hours, and measures of the school environment, explained very little variation in any dimension.
Temporal Coverage
  • 2010-01-01 / 2013-12-31
    Time Period: Fri Jan 01 00:00:00 EST 2010--Tue Dec 31 00:00:00 EST 2013
Geographic Coverage
  • United States
  • Is cited by
    DOI: 10.1177/2332858415617703 (Text)
  • Hill, Heather C., David Blazar, and Kathleen Lynch. “Resources for Teaching.” AERA Open 1, no. 4 (October 2015): 233285841561770.
    • ID: 10.1177/2332858415617703 (DOI)

Update Metadata: 2020-02-21 | Issue Number: 1 | Registration Date: 2020-02-21

Hill, Heather C.; Blazar, David; Lynch, Kathleen (2020): Resources for teaching: Examining personal and institutional predictors of high-quality instruction. Version: 1. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset.