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Effectiveness of Reading and Mathematics Software Products: Findings from Two Student Cohorts

Author

Listed:
  • Larissa Campuzano
  • Mark Dynarski
  • Roberto Agodini
  • Kristina Rall

Abstract

This final report from Mathematica’s congressionally mandated study of educational technology presents effects for the 2005-2006 school year for 10 computer-based reading and math products.

Suggested Citation

  • Larissa Campuzano & Mark Dynarski & Roberto Agodini & Kristina Rall, "undated". "Effectiveness of Reading and Mathematics Software Products: Findings from Two Student Cohorts," Mathematica Policy Research Reports c6255408bda44f82910991c48, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:c6255408bda44f82910991c48d475d68
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    File URL: https://www.mathematica.org/-/media/publications/pdfs/education/effectreadmath09.pdf
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    Citations

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    Cited by:

    1. Ian K. McDonough & Constant I. Tra, 2017. "The impact of computer-based tutorials on high school math proficiency," Empirical Economics, Springer, vol. 52(3), pages 1041-1063, May.
    2. John Deke & Thomas Wei & Tim Kautz, "undated". "Asymdystopia: The Threat of Small Biases in Evaluations of Education Interventions that Need to be Powered to Detect Small Impacts," Mathematica Policy Research Reports f0ff8f86e3c34dc8baaf22b56, Mathematica Policy Research.
    3. John Deke & Lisa Dragoset, "undated". "Statistical Power for Regression Discontinuity Designs in Education: Empirical Estimates of Design Effects Relative to Randomized Controlled Trials," Mathematica Policy Research Reports a4f1d03eb7bf427a8983d4736, Mathematica Policy Research.
    4. van Klaveren, Chris & Vonk, Sebastiaan & Cornelisz, Ilja, 2017. "The effect of adaptive versus static practicing on student learning - evidence from a randomized field experiment," Economics of Education Review, Elsevier, vol. 58(C), pages 175-187.

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