Atanasova-Pacemska, Tatjana and Timovski, Riste and Lapevski, Martin and Rushiti, Agim (2017) Two-layer Quality Analysis of University Study Program Subjects Using DEA and AHP. In: Proceedings of papers / VIII International Conference on Information Technology and Development of Education ITRO 2017. University of Novi Sad, Technical faculty „Mihajlo Pupin”, Zrenjanin, Republic of Serbia, Zrenjanin, pp. 277-283. ISBN 978-86-7672-302-7
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Abstract
One of the most important pillars in the
society (every possible state in the world) is the education
system, especially the higher education. It is known as the
basic generator of knowledge and starter of all future
progress and system development. Thus, it is very
important to put guarantees as much as it is possible that
the products from the educational processes will ensure
quality future in every aspect of our living. Having this in
mind, it is necessary to have permanent approach of
measuring the performances of the education system, find
all pros and cons and locate the efficient and inefficient
parts of the mosaic, so it is possible to suggest steps for
improvement in order to have better graduates and future
academic citizens and overall, better skills and knowledge
delivery during the studies.
Of course, conduction of the education (and having
knowledge as output) requires certain investments of
resources (teachers, equipment, conditions), that can be
treated as input. In such manner, we build a system /
model for measuring the output/input ratio using specific
LP technique known as Data Envelopment Analysis
(DEA) that can give good perspective of efficiency of the
study process. Furthermore, in the pool of the efficient
parts of the model we examined, we do another more
analysis using Analytical Hierarchical Process (AHP)
method in order to find “the best of the best” parts. More
specific, our system is the specific university study
program. The constituent elements that we do our
examination over are the study program courses.
| Item Type: | Book Section |
|---|---|
| Subjects: | Natural sciences > Computer and information sciences Natural sciences > Matematics |
| Divisions: | Faculty of Computer Science |
| Depositing User: | Tatjana A. Pacemska |
| Date Deposited: | 01 Nov 2017 14:09 |
| Last Modified: | 01 Nov 2017 14:09 |
| URI: | https://eprints.ugd.edu.mk/id/eprint/18408 |
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