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Knowledge retention, student learning, and blended course work: Evidence from principles of economics courses

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  • Sarah B. Cosgrove
  • Neal H. Olitsky

Abstract

Over the past decade, there has been a large increase in the number of colleges and universities that offer fully online courses and blended courses (courses with a face‐to‐face component and with an online component). The number of students enrolling in these courses has also increased. These courses are less costly for universities to offer and provide students with more flexibility than traditional classes. This study examines the relationship between online learning and knowledge retention in introductory economics courses. Student assessment data are matched to transcript and demographic information to control for individual student attributes. Using a differences‐in‐differences matching estimator, we determine the effect online coursework has on knowledge retention by comparing performance on the assessment. Results suggest that while there is no significant difference in student learning, students in more traditional, technology‐free courses retain the material better than students.

Suggested Citation

  • Sarah B. Cosgrove & Neal H. Olitsky, 2015. "Knowledge retention, student learning, and blended course work: Evidence from principles of economics courses," Southern Economic Journal, John Wiley & Sons, vol. 82(2), pages 556-579, October.
    • Handle: RePEc:wly:soecon:v:82:y:2015:i:2:p:556-579
    DOI: 10.1002/soej.12045
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    1. Steven G. Rivkin & Eric A. Hanushek & John F. Kain, 2005. "Teachers, Schools, and Academic Achievement," Econometrica, Econometric Society, vol. 73(2), pages 417-458, March.
    2. 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.
    3. Alan B. Krueger, 1999. "Experimental Estimates of Education Production Functions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 497-532.
    4. 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.
    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. Richard Blundell & Monica Costa Dias & Costas Meghir & John Van Reenen, 2004. "Evaluating the Employment Impact of a Mandatory Job Search Program," Journal of the European Economic Association, MIT Press, vol. 2(4), pages 569-606, June.
    7. 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.
    8. Eric A. Hanushek, 1979. "Conceptual and Empirical Issues in the Estimation of Educational Production Functions," Journal of Human Resources, University of Wisconsin Press, vol. 14(3), pages 351-388.
    9. Coates, Dennis & Humphreys, Brad R. & Kane, John & Vachris, Michelle A., 2004. ""No significant distance" between face-to-face and online instruction: evidence from principles of economics," Economics of Education Review, Elsevier, vol. 23(5), pages 533-546, October.
    10. 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.
    11. 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.
    12. Marcus Eliason & Donald Storrie, 2006. "Lasting or Latent Scars? Swedish Evidence on the Long-Term Effects of Job Displacement," Journal of Labor Economics, University of Chicago Press, vol. 24(4), pages 831-856, October.
    13. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    14. Barbara Sianesi, 2004. "An Evaluation of the Swedish System of Active Labor Market Programs in the 1990s," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 133-155, February.
    15. Brendan Kennelly & John Considine & Darragh Flannery, 2011. "Online Assignments in Economics: A Test of Their Effectiveness," The Journal of Economic Education, Taylor & Francis Journals, vol. 42(2), pages 136-146, June.
    16. Babcock, Phillip & Marks, Mindy, 2010. "Leisure College, Usa," University of California at Santa Barbara, Economics Working Paper Series qt1zd0q0vn, Department of Economics, UC Santa Barbara.
    17. Rey Hernández-Julián & Christina Peters, 2012. "Targeting Teaching: Does the Medium Matter? Online versus Paper Coursework," Southern Economic Journal, John Wiley & Sons, vol. 78(4), pages 1333-1345, April.
    18. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
    19. Steve Trost & Djavad Salehi-Isfahani, 2012. "Targeting Teaching The Effect of Homework on Exam Performance: Experimental Results from Principles of Economics," Southern Economic Journal, John Wiley & Sons, vol. 79(1), pages 224-242, July.
    20. Laura Larsson, 2003. "Evaluation of Swedish Youth Labor Market Programs," Journal of Human Resources, University of Wisconsin Press, vol. 38(4).
    21. Chiara Gratton-Lavoie & Denise Stanley, 2009. "Teaching and Learning Principles of Microeconomics Online: An Empirical Assessment," The Journal of Economic Education, Taylor & Francis Journals, vol. 40(1), pages 3-25, January.
    22. Hanushek, Eric A, 1986. "The Economics of Schooling: Production and Efficiency in Public Schools," Journal of Economic Literature, American Economic Association, vol. 24(3), pages 1141-1177, September.
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