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Evaluating the performance of university course units using data envelopment analysis

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  • Sami El-Mahgary
  • Petri Rönnholm
  • Hannu Hyyppä
  • Henrik Haggrén
  • Jenni Koponen

Abstract

The technique of data envelopment analysis (DEA) for measuring the relative efficiency has been widely used in the higher education sector. However, measuring the performance of a set of course units or modules that are part of a university curriculum has received little attention. In this article, DEA was used in a visual way to measure the performance of 12 course units that are part of a Photogrammetry curriculum taught at Aalto University. The results pinpointed the weakest performing units, i.e. units where the provided teaching efforts might not be adequately reflected in the students' marks in the unit. Based on the results, a single unit was considered to offer poor performance with respect to its teaching resources and was selected as a candidate for revision of its contents. Financial resources were not used as such; instead, the performance of students in previous pre-requisite units was used as the inputs. For clarity, a single output covering the overall student performance in the examined unit was used. The technique should be widely applicable assuming the grade point averages of the students who took the course unit are available along with the marks obtained in the evaluated units and their pre-requisites.

Suggested Citation

  • Sami El-Mahgary & Petri Rönnholm & Hannu Hyyppä & Henrik Haggrén & Jenni Koponen, 2014. "Evaluating the performance of university course units using data envelopment analysis," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-20, December.
    • Handle: RePEc:taf:oaefxx:doi:10.1080/23322039.2014.918856
    DOI: 10.1080/23322039.2014.918856
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    1. A. Bessent & W. Bessent & J. Elam & T. Clark, 1988. "Efficiency Frontier Determination by Constrained Facet Analysis," Operations Research, INFORMS, vol. 36(5), pages 785-796, October.
    2. Boussofiane, A. & Dyson, R. G. & Thanassoulis, E., 1991. "Applied data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 52(1), pages 1-15, May.
    3. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    4. Johnes, Jill, 2006. "Data envelopment analysis and its application to the measurement of efficiency in higher education," Economics of Education Review, Elsevier, vol. 25(3), pages 273-288, June.
    5. Barros, Carlos Pestana & Managi, Shunsuke & Matousek, Roman, 2009. "Productivity growth and biased technological change: Credit banks in Japan," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(5), pages 924-936, December.
    6. El-Mahgary, Sami & Lahdelma, Risto, 1995. "Data envelopment analysis: Visualizing the results," European Journal of Operational Research, Elsevier, vol. 83(3), pages 700-710, June.
    7. Jill Johnes, 2006. "Measuring Efficiency: A Comparison of Multilevel Modelling and Data Envelopment Analysis in the Context of Higher Education," Bulletin of Economic Research, Wiley Blackwell, vol. 58(2), pages 75-104, April.
    8. Barros, Carlos Pestana & Weber, William L., 2009. "Productivity growth and biased technological change in UK airports," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(4), pages 642-653, July.
    9. Maria Portela & Emmanuel Thanassoulis, 2006. "Zero weights and non-zero slacks: Different solutions to the same problem," Annals of Operations Research, Springer, vol. 145(1), pages 129-147, July.
    10. Kong, Wei-Hsin & Fu, Tsu-Tan, 2012. "Assessing the performance of business colleges in Taiwan using data envelopment analysis and student based value-added performance indicators," Omega, Elsevier, vol. 40(5), pages 541-549.
    11. Rahim Mahmoudvand & Hossein Hassani, 2009. "Two new confidence intervals for the coefficient of variation in a normal distribution," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(4), pages 429-442.
    12. Tzeremes, Nickolaos & Halkos, George, 2010. "A DEA approach for measuring university departments’ efficiency," MPRA Paper 24029, University Library of Munich, Germany.
    13. Luis R. Murillo‐Zamorano, 2004. "Economic Efficiency and Frontier Techniques," Journal of Economic Surveys, Wiley Blackwell, vol. 18(1), pages 33-77, February.
    14. Johnes, Jill, 2006. "Measuring teaching efficiency in higher education: An application of data envelopment analysis to economics graduates from UK Universities 1993," European Journal of Operational Research, Elsevier, vol. 174(1), pages 443-456, October.
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