Looking Inside the Black Box: Measuring Implementation and Detecting Group-Level Impact of Cognitively Guided Instruction

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Robert Schoen Florida State University

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Wendy Bray Florida State University

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Claire Riddell Florida State University

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Charity Buntin Florida State University

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Naomi Iuhasz-Velez Florida State University

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Walter Secada University of Miami

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Eva Yujia Li Yale University

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Studies have found that some teacher professional development programs that are based on Cognitively Guided Instruction (CGI) can increase student mathematics achievement. The mechanism through which those effects are realized has been theorized, but more empirical study is needed. In service of this need, we designed a novel measure of instructional practice to assess the extent to which observable features of mathematics instruction are consistent with the principles of CGI. We describe the conceptual foundations and first use of the instrument, which we call M-CLIPS. We found that teachers involved in the first 2 years of a CGI program were using methods consistent with the principles. In contrast, instructional practice in the comparison condition was mostly inconsistent with those principles.

Footnotes

The research reported here was supported by the Institute of Education Sciences, U.S. Department of Education, through Grant No. R305A180429 to Florida State University. The opinions expressed are those of the authors and do not represent views of the Institute or the U.S. Department of Education.

Contributor Notes

Robert Schoen, Learning Systems Institute and School of Teacher Education, Florida State University, Tallahassee, FL 32306; rschoen@fsu.edu

Wendy Bray, Learning Systems Institute, Florida State University, Tallahassee, FL 32306; wbray@fsu.edu

Claire Riddell, Learning Systems Institute and School of Teacher Education, Florida State University, Tallahassee, FL 32306; criddell@fsu.edu

Charity Buntin, Learning Systems Institute and School of Teacher Education, Florida State University, Tallahassee, FL 32306; cbauduin2@lsi.fsu.edu

Naomi Iuhasz-Velez, Learning Systems Institute, Florida State University, Tallahassee, FL 32306; niuhaszvelez@fsu.edu

Walter Secada, School of Education and Human Development, University of Miami, Coral Gables, FL 33146; wsecada@miami.edu

Eva Yujia Li, Office of Institutional Research, Yale University, New Haven, CT 06520; evayujia.li@yale.edu

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