Factors Affecting Selection of Elective Courses: The Use of Multi-Criteria Decision Making Model

Gulsah Hancerliogullari Koksalmis (Istanbul Technical University)

Abstract


Elective course selection has always been a serious and important decision making process for students in institutions.  The study of Multi Criteria Decision Making Model (MCDM) for the selection of elective course is put together with the aim of lending a helping hand to the students. It comprises the main MCDM methods, the problem of selecting an elective course, the survey about the problem, the method which is selected to be implemented, the implementation and the results. In this study, we determine the criteria of this problem for graduate students while deciding on the elective courses. A total of 13 different criteria have been established, including 5 main criteria. In this direction, a questionnaire study was conducted as required by the multi-criteria decision-making analysis method decided in the light of the examined articles. This survey study was answered by graduate students. The responses were evaluated by the "Super Decisions" program and priorities were determined using the Analytic Hierarchy Process (AHP). The survey was applied to graduate students, and it was found that the two most important criteria of the graduate students were 28.03% of the curriculum and 20.42% of the faculty members. This study aims to prove a mathematical method for a real-life situation which can help people make their decisions accurately. It will help students who are indecisive and hesitates while selecting an elective course.


Keywords


Multi-criteria decision making; analytic hierarchy process; education; course selection

Full Text:

PDF

References


[1]Pohekar, S. D. ve Ramachandran, M., (2004), “Application of multi-criteria decision making to sustainable energy planning—A review”, Renewable and Sustainable Energy Reviews, 8(4): 365-381, URL: https://www.sciencedirect.com/science/article/pii/S1364032104000073

[2]Evren, R., & Ülengin, F. (1992). Yönetimde çok amaçlı karar verme. İstanbul Teknik Üniversitesi.

[3]Baysal, G., & Tecim, V. (2006). Katı Atık Depolama Sahası Uygunluk Analizinin Coğrafi Bilgi Sistemleri (CBS) Tabanlı Çok Kriterli Karar Yöntemleri İle Uygulaması. 4. Coğrafi Bilgi Sistemleri Bilişim Günleri.

[4]Topcu, Y. İ. (2000). Çok ölçütlü sorun çözümüne yönelik bir bütünleşik karar destek modeli (Doctoral dissertation, Fen Bilimleri Enstitüsü), URL: https://polen.itu.edu.tr/handle/11527/11689

[5]Anaral, F. (2012). Çok Kriterli Karar Verme Yöntemi İle Yazılım Geliştirme Metodolojisi Seçimi (Doctoral dissertation, Fen Bilimleri Enstitüsü), URL: https://polen.itu.edu.tr/handle/11527/5765

[6]Hacımenni, E. (1998). Analitik Hiyerarşi Süreci ve Bilişim Teknolojisi Kararlarında Uygulanması (Doctoral dissertation, DEÜ Sosyal Bilimleri Enstitüsü).

[7]Jahanshahloo, G. R., Lotfi, F. H., & Izadikhah, M. (2006). Extension of the TOPSIS method for decision-making problems with fuzzy data. Applied Mathematics and Computation, 181(2), 1544-1551, URL: https://www.sciencedirect.com/science/article/pii/S0096300306002852

[8]Greco, S., Figueira, J., & Ehrgott, M. (2005). Multiple criteria decision analysis. Springer's International series, URL: https://link.springer.com/content/pdf/10.1007/978-1-4939-3094-4.pdf

[9]Løken, E. (2007). Use of multicriteria decision analysis methods for energy planning problems. Renewable and Sustainable Energy Reviews, 11(7), 1584-1595, URL: https://www.sciencedirect.com/science/article/pii/S1364032105001280

[10]Gencer, C., Aydoğan, E. K., & Aytürk, S. (2008). Analitik Hiyerarşi Prosesi ile Hafif Makineli Tüfek Seçimi. Savunma Bilimleri Dergisi, 7(2), 87-105.

[11]Saaty, T. L. (1990). How to make a decision: the analytic hierarchy process. European journal of operational research, 48(1), 9-26, URL: https://www.sciencedirect.com/science/article/abs/pii/037722179090057I.



DOI: https://doi.org/10.30564/jbar.v1i1.205

Refbacks

  • There are currently no refbacks.
Copyright © 2019 Gulsah Hancerliogullari Koksalmis Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.