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Does classroom time matter?

Author

Listed:
  • Joyce, Ted
  • Crockett, Sean
  • Jaeger, David A.
  • Altindag, Onur
  • O'Connell, Stephen D.

Abstract

Little experimental evidence exists on the causal impact of class time on academic performance when students have access to extensive course material online. We randomized 725 college students into traditional twice-per-week and compressed once-per-week lecture formats in introductory microeconomics. Students in the traditional format scored 3.2 out of 100 points higher (0.21 standard deviations) on the midterm than those in the compressed format but a statistically insignificant 1.6 points higher (0.11 standard deviations) on the final. There were no differences in non-cognitive outcomes. Students in the middle tercile of predicted test scores performed worst in the compressed format relative to those in the traditional format but there was little difference in test scores by format in the top tercile of predicted performance. While the compressed format offers clear savings in classroom space and professors’ time, these savings come at some cost to student performance.

Suggested Citation

  • Joyce, Ted & Crockett, Sean & Jaeger, David A. & Altindag, Onur & O'Connell, Stephen D., 2015. "Does classroom time matter?," Economics of Education Review, Elsevier, vol. 46(C), pages 64-77.
    • Handle: RePEc:eee:ecoedu:v:46:y:2015:i:c:p:64-77
    DOI: 10.1016/j.econedurev.2015.02.007
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    References listed on IDEAS

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    1. William G. Bowen & Matthew M. Chingos & Kelly A. Lack & Thomas I. Nygren, 2014. "Interactive Learning Online at Public Universities: Evidence from a Six‐Campus Randomized Trial," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 33(1), pages 94-111, January.
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    4. William G. Bowen, 2013. "Higher Education in the Digital Age," Economics Books, Princeton University Press, edition 1, volume 1, number 10053.
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    Cited by:

    1. George Bulman & Robert W. Fairlie, 2015. "Technology and Education: Computers, Software, and the Internet," CESifo Working Paper Series 5570, CESifo.
    2. M Paula Cacault & Christian Hildebrand & Jérémy Laurent-Lucchetti & Michele Pellizzari, 2021. "Distance Learning in Higher Education: Evidence from a Randomized Experiment [A Randomized Assessment of Online Learning]," Journal of the European Economic Association, European Economic Association, vol. 19(4), pages 2322-2372.
    3. Rita A. Balaban & Donna B. Gilleskie & Uyen Tran, 2016. "A quantitative evaluation of the flipped classroom in a large lecture principles of economics course," The Journal of Economic Education, Taylor & Francis Journals, vol. 47(4), pages 269-287, October.
    4. De Paola, Maria & Gioia, Francesca & Scoppa, Vincenzo, 2022. "Online Teaching, Procrastination and Students’ Achievement: Evidence from COVID-19 Induced Remote Learning," IZA Discussion Papers 15031, Institute of Labor Economics (IZA).
    5. Cassandra M.D. Hart & Elizabeth Friedmann & Michael Hill, 2018. "Online Course-taking and Student Outcomes in California Community Colleges," Education Finance and Policy, MIT Press, vol. 13(1), pages 42-71, Winter.
    6. Marigee Bacolod & Latika Chaudhary, 2018. "Distance To Promotion: Evidence From Military Graduate Education," Contemporary Economic Policy, Western Economic Association International, vol. 36(4), pages 667-677, October.
    7. Timothy M. Diette & Manu Raghav, 2016. "Longer Classes Versus More Frequent Classes: Which Wins? Evidence from a Liberal Arts College," Working Papers 2016-03, DePauw University, School of Business and Leadership and Department of Economics and Management.
    8. Timothy M. Diette & Manu Raghav, 2018. "Do GPAs Differ Between Longer Classes and More Frequent Classes at Liberal Arts Colleges?," Research in Higher Education, Springer;Association for Institutional Research, vol. 59(4), pages 519-527, June.
    9. Jose Vazquez & Eric Chiang, 2015. "Flipping Out! A Case Study on How to Flip the Principles of Economics Classroom," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 21(4), pages 379-390, November.
    10. Masato Ikeda & Shintaro Yamaguchi, 2021. "Online learning during school closure due to COVID-19," The Japanese Economic Review, Springer, vol. 72(3), pages 471-507, July.
    11. Bosshardt, William & Chiang, Eric P., 2018. "Evaluating the effect of online principles courses on long-term outcomes," International Review of Economics Education, Elsevier, vol. 28(C), pages 1-10.
    12. Martin S. Andersen & Dora Gicheva & Jeffrey Sarbaum, 2018. "Requiring Versus Recommending Preparation Before Class: Does It Matter?," Southern Economic Journal, John Wiley & Sons, vol. 85(2), pages 616-631, October.
    13. Vaclav Korbel & Michal Paulus, 2017. "Do Teaching Practices Impact Socio-emotional Skills?," Working Papers IES 2017/04, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Feb 2017.
    14. Nick Huntington-Klein & James Cowan & Dan Goldhaber, 2017. "Selection into Online Community College Courses and Their Effects on Persistence," Research in Higher Education, Springer;Association for Institutional Research, vol. 58(3), pages 244-269, May.
    15. Cotti, Chad & Gordanier, John & Ozturk, Orgul, 2018. "Class meeting frequency, start times, and academic performance," Economics of Education Review, Elsevier, vol. 62(C), pages 12-15.
    16. Amer-Mestre, Josep & Ayarza-Astigarraga, Alaitz & Lopes, Marta C, 2021. "E-Learning Engagement Gap during School Closures: Differences by Academic Performance," IZA Discussion Papers 14904, Institute of Labor Economics (IZA).
    17. Agasisti, Tommaso & Barucci, Emilio & Cannistrà, Marta & Marazzina, Daniele & Soncin, Mara, 2023. "Online or on-campus? Analysing the effects of financial education on student knowledge gain," Evaluation and Program Planning, Elsevier, vol. 98(C).
    18. Merkus, Erik & Schafmeister, Felix, 2021. "The role of in-person tutorials in higher education," Economics Letters, Elsevier, vol. 201(C).

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    More about this item

    Keywords

    Classroom time; Microeconomics; Randomization; Student performance;
    All these keywords.

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

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