IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/17486.html
   My bibliography  Save this paper

If You Build It Will They Come? Teacher Use of Student Performance Data on a Web-Based Tool

Author

Listed:
  • John H. Tyler

Abstract

The past decade has seen increased testing of students and the concomitant proliferation of computer-based systems to store, manage, analyze, and report the data that comes from these tests. The research to date on teacher use of these data has mostly been qualitative and has mostly focused on the conditions that are necessary (but not necessarily sufficient) for effective use of data by teachers. Absent from the research base in this area is objective information on how much and in what ways teachers actually use student test data, even when supposed precursors of teacher data use are in place. This paper addresses this knowledge gap by analyzing usage data generated when teachers in one mid-size urban district log onto the web-based, district-provided data deliver and analytic tool. Based on information contained in the universe of web logs from the 2008-2009 and 2009-2010 school years, I find relatively low levels of teacher interaction with pages on the web tool that contain student test information that could potentially inform practice. I also find no evidence that teacher usage of web-based student data is related student achievement, but there is reason to believe these estimates are downwardly biased.

Suggested Citation

  • John H. Tyler, 2011. "If You Build It Will They Come? Teacher Use of Student Performance Data on a Web-Based Tool," NBER Working Papers 17486, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:17486
    Note: ED
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w17486.pdf
    Download Restriction: no

    More about this item

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:17486. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (). General contact details of provider: http://edirc.repec.org/data/nberrus.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.