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Teaching technologies, attendance, learning and the optimal level of access to online materials

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  • Gomis-Porqueras, Pedro
  • Rodrigues-Neto, José A.

Abstract

A stylized game-theoretic model explores the relationship between a lecturer and a representative student in a university class. The lecturer moves first, choosing the student's level of access to online class materials, from zero to 100%. The student observes the lecturer's choice, and then chooses whether to attend or skip class. The student has a valuable outside option during class time, but she also values learning. Out-of-class learning cannot perfectly substitute in-class learning. The student's decision depends on her outside option and the level of access to online materials chosen by the lecturer. For extreme parameter values, the student's optimal action does not depend on the lecturer's choice; in these cases there is full access to online materials, as the lecturer anticipates the student's choice. If parameters lie in a range where the lecturer's action may influence the student, then the lecturer provides the maximum level of access to online materials that still incentivizes the student to attend class. Online policies adopted by universities may affect learning outcomes, the intensity of use of online technologies, and attendance. This paper analyzes two types of university policies about the access to online materials.

Suggested Citation

  • Gomis-Porqueras, Pedro & Rodrigues-Neto, José A., 2018. "Teaching technologies, attendance, learning and the optimal level of access to online materials," Economic Modelling, Elsevier, vol. 73(C), pages 329-342.
  • Handle: RePEc:eee:ecmode:v:73:y:2018:i:c:p:329-342
    DOI: 10.1016/j.econmod.2018.04.009
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    References listed on IDEAS

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    1. Ross Guest, 2005. "Will Flexible Learning Raise Student Achievement?," Education Economics, Taylor & Francis Journals, vol. 13(3), pages 287-297.
    2. Correa, Hector & Gruver, Gene W., 1987. "Teacher-student interaction: A game theoretic extension of the economic theory of education," Mathematical Social Sciences, Elsevier, vol. 13(1), pages 19-47, February.
    3. Benos, Nikos & Karagiannis, Stelios, 2016. "Do education quality and spillovers matter? Evidence on human capital and productivity in Greece," Economic Modelling, Elsevier, vol. 54(C), pages 563-573.
    4. Elchanan Cohn & Eric Johnson, 2006. "Class Attendance and Performance in Principles of Economics," Education Economics, Taylor & Francis Journals, vol. 14(2), pages 211-233.
    5. Huang, Cliff J., 1981. "Optimal allocation of faculty time under uncertainty in production," Economics of Education Review, Elsevier, vol. 1(1), pages 99-112, February.
    6. Daniel R. Marburger, 2001. "Absenteeism and Undergraduate Exam Performance," The Journal of Economic Education, Taylor & Francis Journals, vol. 32(2), pages 99-109, January.
    7. Becker, William E, Jr, 1982. "The Educational Process and Student Achievement Given Uncertainty in Measurement," American Economic Review, American Economic Association, vol. 72(1), pages 229-236, March.
    8. McDonough, Carol C & Kannenberg, Lloyd C, 1977. "The Microeconomic Impact of a Reduction in Faculty Teaching Loads," Australian Economic Papers, Wiley Blackwell, vol. 16(28), pages 112-120, June.
    9. Philip Babcock & Mindy Marks, 2011. "The Falling Time Cost of College: Evidence from Half a Century of Time Use Data," The Review of Economics and Statistics, MIT Press, vol. 93(2), pages 468-478, May.
    10. David Romer, 1993. "Do Students Go to Class? Should They?," Journal of Economic Perspectives, American Economic Association, vol. 7(3), pages 167-174, Summer.
    11. Courtioux, Pierre & Gregoir, Stéphane & Houeto, Dede, 2014. "Modelling the distribution of returns on higher education: A microsimulation approach," Economic Modelling, Elsevier, vol. 38(C), pages 328-340.
    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. Pedro Gomis-Porqueras & Juergen Meinecke & Jose A. Rodrigues-Neto, 2011. "New Technologies in Higher Education: Lower Attendance and Worse Learning Outcomes?," Agenda - A Journal of Policy Analysis and Reform, Australian National University, College of Business and Economics, School of Economics, vol. 18(1), pages 69-84.
    14. Becker, William E, Jr, 1979. "Professorial Behavior Given a Stochastic Reward Structure," American Economic Review, American Economic Association, vol. 69(5), pages 1010-1017, December.
    15. Durden, Garey C & Ellis, Larry V, 1995. "The Effects of Attendance on Student Learning in Principles of Economics," American Economic Review, American Economic Association, vol. 85(2), pages 343-346, May.
    16. Ross Guest, 2001. "The Instructor's Optimal Mix of Teaching Methods," Education Economics, Taylor & Francis Journals, vol. 9(3), pages 313-326.
    17. Di Xu & Shanna S. Jaggars, 2014. "Performance Gaps between Online and Face-to-Face Courses: Differences across Types of Students and Academic Subject Areas," The Journal of Higher Education, Taylor & Francis Journals, vol. 85(5), pages 633-659, September.
    18. Bacdayan, Andrew W., 1997. "A mathematical analysis of the learning production process and a model for determining what matters in education," Economics of Education Review, Elsevier, vol. 16(1), pages 25-37, February.
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    More about this item

    Keywords

    Absenteeism; Attendance; Education; Technology; Online policies;
    All these keywords.

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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