Evaluation of Support for Using Student Data to Inform Teachers’ Instruction
Philip Gleason,
Sarah Crissey,
Greg Chojnacki,
Marykate Zukiewicz,
Tim Silva,
Sarah Costelloe and
Fran O'Reilly
Mathematica Policy Research Reports from Mathematica Policy Research
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.
Keywords: random assignment; randomized controlled trial; data-driven instruction; teachers’ instructional practices; impact analysis; implementation analysis; cluster randomization; data use; student achievement; formative assessments; interim assessments (search for similar items in EconPapers)
Pages: 68
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mathematica.org/-/media/publications/p ... /ddi-full-report.pdf (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found (https://www.mathematica.org/-/media/publications/pdfs/education/2019/ddi-full-report.pdf [302 Found]--> https://www.mathematica.org/System/404-page-not-found?ItemNotFound=true)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:mpr:mprres:c8487f07fcc34792b99d2b144b581fdc
Access Statistics for this paper
More papers in Mathematica Policy Research Reports from Mathematica Policy Research Mathematica Policy Research P.O. Box 2393 Princeton, NJ 08543-2393 Attn: Communications. Contact information at EDIRC.
Bibliographic data for series maintained by Joanne Pfleiderer () and Cindy George ( this e-mail address is bad, please contact ).