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The better blend? Flipping the principles of microeconomics classroom

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  • Olitsky, Neal H.
  • Cosgrove, Sarah B.

Abstract

This study provides a comprehensive analysis of an experiment that attempts to cut costs and improve learning outcomes through a “flipped-blended” class. We discern effects of this pedagogy on learning outcomes in principles of microeconomics courses. We control for key background variables and use differences-in-differences with a matching estimator to test whether students in the flipped-blended classes learn economic concepts and tools better than students in classes with interactive lectures and online homework, but no online lectures. Findings suggest that average student improvement is significantly higher in flipped classes than in non-flipped classes, though the difference in improvement is modest.

Suggested Citation

  • Olitsky, Neal H. & Cosgrove, Sarah B., 2016. "The better blend? Flipping the principles of microeconomics classroom," International Review of Economics Education, Elsevier, vol. 21(C), pages 1-11.
    • Handle: RePEc:eee:ireced:v:21:y:2016:i:c:p:1-11
    DOI: 10.1016/j.iree.2015.10.004
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    References listed on IDEAS

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    1. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
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    3. Jennjou Chen & Tsui-Fang Lin, 2012. "Do Supplemental Online Recorded Lectures Help Students Learn Microeconomics?," International Review of Economic Education, Economics Network, University of Bristol, vol. 11(1), pages 6-15.
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    5. Byron W. Brown & Carl E. Liedholm, 2002. "Can Web Courses Replace the Classroom in Principles of Microeconomics?," American Economic Review, American Economic Association, vol. 92(2), pages 444-448, May.
    6. repec:wly:soecon:v:82:2:y:2015:p:556-579 is not listed on IDEAS
    7. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    8. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    9. Tisha L. N. Emerson & Beck A. Taylor, 2004. "Comparing Student Achievement across Experimental and Lecture-Oriented Sections of a Principles of Microeconomics Course," Southern Economic Journal, John Wiley & Sons, vol. 70(3), pages 672-693, January.
    10. Olitsky, Neal H. & Cosgrove, Sarah B., 2014. "The effect of blended courses on student learning: Evidence from introductory economics courses," International Review of Economics Education, Elsevier, vol. 15(C), pages 17-31.
    11. Roach, Travis, 2014. "Student perceptions toward flipped learning: New methods to increase interaction and active learning in economics," International Review of Economics Education, Elsevier, vol. 17(C), pages 74-84.
    12. David Figlio & Mark Rush & Lu Yin, 2013. "Is It Live or Is It Internet? Experimental Estimates of the Effects of Online Instruction on Student Learning," Journal of Labor Economics, University of Chicago Press, vol. 31(4), pages 763-784.
    13. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
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    Citations

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    Cited by:

    1. Calimeris, Lauren, 2018. "Effects of flipping the principles of microeconomics class: Does scheduling matter?," International Review of Economics Education, Elsevier, vol. 29(C), pages 29-43.
    2. Duncan Watson & Louise Parker, 2016. "The hullaballoo over e-learning? Technology and pluralism in economics," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1159813-115, December.
    3. Lombardini, Chiara & Lakkala, Minna & Muukkonen, Hanni, 2018. "The impact of the flipped classroom in a principles of microeconomics course: evidence from a quasi-experiment with two flipped classroom designs," International Review of Economics Education, Elsevier, vol. 29(C), pages 14-28.
    4. Wolfe, Marketa Halova, 2020. "Integrating data analysis into an introductory macroeconomics course," International Review of Economics Education, Elsevier, vol. 33(C).
    5. Becker, Ralf & Proud, Steven, 2018. "Flipping quantitative tutorials," International Review of Economics Education, Elsevier, vol. 29(C), pages 59-73.
    6. Grogan, Kelly A., 2017. "Will this be on the test? How exam structure affects perceptions of innovative assignments in a masters of science microeconomics course," International Review of Economics Education, Elsevier, vol. 26(C), pages 1-8.
    7. Martinez, Gabriel X., 2023. "Studying like a nerd: Spacing, self-testing, and explanatory questioning in principles of microeconomics," International Review of Economics Education, Elsevier, vol. 44(C).
    8. Artz, Benjamin & Johnson, Marianne & Robson, Denise & Siemers, Sarinda, 2022. "Live or lecture capture: Evidence from a classroom random control trial," International Review of Economics Education, Elsevier, vol. 40(C).
    9. Cosgrove, Sarah B. & Olitsky, Neal H., 2020. "Research-based instructional strategies in a flipped principles of microeconomics classroom," International Review of Economics Education, Elsevier, vol. 33(C).

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    More about this item

    Keywords

    Blended learning; Flipped classroom; Propensity score; Matching estimator;
    All these keywords.

    JEL classification:

    • A22 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Undergraduate

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