Evaluating higher education teaching performance using combined analytic hierarchy process and data envelopment analysis

Emmanuel Thanassoulis (), Prasanta Kumar Dey (), Konstantinos Petridis (), Ioannis Goniadis () and Andreas C. Georgiou ()
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Emmanuel Thanassoulis: Aston University
Prasanta Kumar Dey: Aston University
Konstantinos Petridis: Aston University
Ioannis Goniadis: University of Macedonia
Andreas C. Georgiou: University of Macedonia

Journal of the Operational Research Society, 2017, vol. 68, issue 4, 431-445

Abstract: Abstract Evaluating higher education teaching performance is complex as it involves consideration of both objective and subjective criteria. The student evaluation of teaching (SET) is used to improve higher education quality. However, the traditional approaches to considering students’ responses to SET questionnaires for improving teaching quality have several shortcomings. This study proposes an integrated approach to higher education teaching evaluation that combines the analytical hierarchy process (AHP) and data envelopment analysis (DEA). The AHP allows consideration of the varying importance of each criterion of teaching performance, while DEA enables the comparison of tutors on teaching as perceived by students with a view to identifying the scope for improvement by each tutor. The proposed teaching evaluation method is illustrated using data from a higher education institution in Greece.

Keywords: AHP; DEA; higher education; SET questionnaires; student evaluation of teaching (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (25)

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DOI: 10.1057/s41274-016-0165-4

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