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On the student evaluation of university courses and faculty members’ teaching performance

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  • Nikolaidis, Yiannis
  • Dimitriadis, Sotirios G.

Abstract

Trying to determine higher education quality, one gets quickly to one of its significant dimensions, namely the quality of faculty members’ teaching. The latter and, overall, the quality of any university course should be certainly evaluated by their recipients, namely students. In this paper we develop a statistical framework based on Statistical Quality Control mainly, which can be used in order to exploit student evaluations as much as possible. More specifically we present two directions of data monitoring and analysis; the one uses control charts and the other hypotheses testing. The results that can be raised through both directions are crucial for any decision maker.

Suggested Citation

  • Nikolaidis, Yiannis & Dimitriadis, Sotirios G., 2014. "On the student evaluation of university courses and faculty members’ teaching performance," European Journal of Operational Research, Elsevier, vol. 238(1), pages 199-207.
    • Handle: RePEc:eee:ejores:v:238:y:2014:i:1:p:199-207
    DOI: 10.1016/j.ejor.2014.03.018
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    References listed on IDEAS

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    1. Ray, Subhash C. & Jeon, Yongil, 2008. "Reputation and efficiency: A non-parametric assessment of America's top-rated MBA programs," European Journal of Operational Research, Elsevier, vol. 189(1), pages 245-268, August.
    2. Politis, Y. & Siskos, Y., 2004. "Multicriteria methodology for the evaluation of a Greek engineering department," European Journal of Operational Research, Elsevier, vol. 156(1), pages 223-240, July.
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    Cited by:

    1. Abílio António Freitas Belo, 2017. "The evaluation of the Higher Education lecturer competences in East Timor: a student inquiry," Review of Social Sciences, LAR Center Press, vol. 2(1), pages 36-51, January.
    2. Lubiano, María Asunción & Montenegro, Manuel & Sinova, Beatriz & de la Rosa de Sáa, Sara & Gil, María Ángeles, 2016. "Hypothesis testing for means in connection with fuzzy rating scale-based data: algorithms and applications," European Journal of Operational Research, Elsevier, vol. 251(3), pages 918-929.

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