Two-layer Quality Analysis of University Study Program Subjects Using DEA and AHP

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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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

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