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

doi:10.1057/s41274-016-0165-4

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 journal › Article › peer-review

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 language	English
Pages (from-to)	431-445
Journal	Journal of the Operational Research Society
Volume	68
Issue number	4
Early online date	1 Mar 2017
DOIs	https://doi.org/10.1057/s41274-016-0165-4
Publication status	Published - 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

Access to Document

10.1057/s41274-016-0165-4

HE teaching performance using combined AHP and DEA
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
Accepted author manuscript, 435 KB

Cite this

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AU - Goniadis, Ioannis

AU - Georgiou, Andreas C.

N1 - 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

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AB - 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.

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

Abstract

Bibliographical note

Keywords

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