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

Emmanuel Thanassoulis*, Prasanta Kumar Dey, Konstantinos Petridis, Ioannis Goniadis, Andreas C. Georgiou

*Corresponding author for this work

Research output: Contribution to journalArticle

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.
Original languageEnglish
Pages (from-to)431-445
JournalJournal of the Operational Research Society
Volume68
Issue number4
Early online date1 Mar 2017
DOIs
Publication statusPublished - 21 Dec 2017

Bibliographical note

This is a post-peer-review, pre-copyedit version of an article published in Journal of the Operational Research Society . The definitive publisher-authenticated version is available online at: http://link.springer.com/article/10.1057/s41274-016-0165-4

Keywords

  • AHP
  • DEA
  • higher education
  • SET questionaires
  • student evaluation of teaching

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