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Evaluation of Support for Using Student Data to Inform Teachers’ Instruction

Author

Listed:
  • Philip Gleason
  • Sarah Crissey
  • Greg Chojnacki
  • Marykate Zukiewicz
  • Tim Silva
  • Sarah Costelloe
  • Fran O'Reilly

Abstract

This report presents findings from a random assignment study examining how providing coaching and support to schools to help them use student data to inform teachers’ instruction affects teachers’ practices and student achievement.

Suggested Citation

  • Philip Gleason & Sarah Crissey & Greg Chojnacki & Marykate Zukiewicz & Tim Silva & Sarah Costelloe & Fran O'Reilly, "undated". "Evaluation of Support for Using Student Data to Inform Teachers’ Instruction," Mathematica Policy Research Reports c8487f07fcc34792b99d2b144, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:c8487f07fcc34792b99d2b144b581fdc
    as

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    File URL: https://www.mathematica.org/-/media/publications/pdfs/education/2019/ddi-full-report.pdf
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    References listed on IDEAS

    as
    1. Joshua D. Angrist & Parag A. Pathak & Christopher R. Walters, 2013. "Explaining Charter School Effectiveness," American Economic Journal: Applied Economics, American Economic Association, vol. 5(4), pages 1-27, October.
    2. Julia Chabrier & Sarah Cohodes & Philip Oreopoulos, 2016. "What Can We Learn from Charter School Lotteries?," Journal of Economic Perspectives, American Economic Association, vol. 30(3), pages 57-84, Summer.
    3. Will Dobbie & Roland G. Fryer Jr., 2013. "Getting beneath the Veil of Effective Schools: Evidence from New York City," American Economic Journal: Applied Economics, American Economic Association, vol. 5(4), pages 28-60, October.
    Full references (including those not matched with items on IDEAS)

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