Journals / İZÜ Eğitim Dergisi / 2019 / Cilt: 1 - Sayı: 2

A COMPARATIVE CRITERIA ANALYSIS FOR THE HIGHER EDUCATION SELECTION BETWEEN DIFFERENT GRADES OF HIGH SCHOOL STUDENTS VIA FUZZY AHP APPROACH

A Comparative Criteria Analysis via Fuzzy AHP Approach For The High School Students’ Reasons For Selecting Higher Education Institutions

Pages
186–217
Publication Date
2019-12-31
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In addition, consistency analysis was applied for F-AHP method which was used to determine the main and sub-criteria weights, and only the consistent questionnaires were used in the process.

📌 3 Key Takeaways

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Objective & Hypothesis:After high school, students face many different choices while choosing a higher education institute.
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Key Findings & Data:As a result of the literature review, the factors affecting the higher education selection were collected under 3 main criteria.
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Conclusion & Impact:In addition, consistency analysis was applied for F-AHP method which was used to determine the main and sub-criteria weights, and only the consistent questionnaires were used in the process.
🔬Design:Survey & Empirical Study
📍Scope:Comprehensive Sample
⚙️Variables:Yükseköğrenim Seçim Kriterleri · Çok Kriterli Karar Verme Teknikleri · Bulanık Analitik Hiyerarşi Prosesi (BAHP)

Abstract

After high school, students face many different choices while choosing a higher education institute. In this study, it was examined whether there are differences among the higher education selection criteria for students at different high school levels. As a result of the literature review, the factors affecting the higher education selection were collected under 3 main criteria. These main criteria are “University Selection”, “Profession Choice and “Socio-demographic Features”. Under these 3 main criteria, 33 sub-criteria were considered in total. As a result of the surveys conducted for students of different grades, 5 most selected sub-criteria were determined for each main criterion. Fuzzy Analytical Hierarchy Process (F-AHP) was used to calculate the sub-criteria weights for each grade level. Two different comparison analyzes were performed in the application part. Firstly, the preference criteria weights of Prep class and 12th class students of high school were compared. Secondly, the preference criteria weights of 9th class students who were Prep students previous year were compared according to this year’s and last year’s results. As a result of this study, changes of students’ awareness about higher education were observed year to year. In addition, consistency analysis was applied for F-AHP method which was used to determine the main and sub-criteria weights, and only the consistent questionnaires were used in the process.

Özet

Öğrenciler lise eğitiminden sonra, yükseköğrenim kurumunu seçerken birçok farklı seçenekle karşı karşıya kalmaktadır. Bu çalışmada, farklı lise düzeyindeki öğrenciler arasında yükseköğrenim seçim kriterleri göz önüne alındığında farklılaşmanın olup olmadığı incelenmiştir. Literatür taraması sonucu yükseköğrenim seçimini etkileyen faktörler 3 ana başlık altında toplanmıştır. Bu ana kriterler “Üniversite Seçimi”, “Meslek Seçimi” ve “Sosyo demografik Özellikler”dir. Bu 3 ana kriter altında toplamda 33 alt kriter ele alınmıştır. Farklı sınıf seviyelerindeki öğrencilere yapılan anketler sonucunda, her bir ana kriter için en çok seçilen 5er tane alt kriter belirlenmiştir. Her bir sınıf seviyesi için ayrı ayrı belirlenen alt kriterlerin ağırlıklarının hesaplanmasında Bulanık Analitik Hiyerarşi Prosesi (BAHP) kullanılmıştır. Uygulama kısmında iki farklı karşılaştırma analizi yapılmıştır. Öncelikle lise hazırlık sınıfı öğrencileri ile lise son sınıf öğrencilerinin tercih kriterlerine vermiş oldukları ağırlıklar kıyaslanmıştır. İkinci olarak, geçtiğimiz sene lise hazırlık olan öğrencilerin geçen seneki ve bu seneki tercih kriter ağırlıkları karşılaştırılmıştır. Çalışmanın sonucunda, öğrencilerin yükseköğrenim hakkındaki bilinçlerinin her sene değiştiği gözlemlenmiştir. Ayrıca ana ve alt kriter ağırlıkları belirlenirken kullanılan BAHP yöntemi için tutarlılık analizi uygulanmış ve süreçte sadece tutarlı anketler kullanılmıştır.

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Cite This Article

AKKAŞ, E., AYHAN, M. B. (2019). A COMPARATIVE CRITERIA ANALYSIS FOR THE HIGHER EDUCATION SELECTION BETWEEN DIFFERENT GRADES OF HIGH SCHOOL STUDENTS VIA FUZZY AHP APPROACH. İZÜ Eğitim Dergisi, Cilt: 1 - Sayı: 2, 186–217. https://ajindex.com/articles/773011

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References (13)

  1. Akkaş, E., Ayhan, M.B. (2018). A Comparative Analysis For The Criteria Of Higher Education Selection. Participatory Educational Research (PER), Vol. 5, No:2, 38-50. http://eoi.citefactor.org/10.11203/per.18.11.5.2
  2. Al-Harbi, KMA.-S. (2001). Application of the AHP in project management. International Journal of Project Management, Vol.19, No.1, 19-27, https://doi.org/10.1016/S0263-7863(99)00038-1
  3. Ayhan, M. B. and Atsay, F. (2011). Comparative Analysis of Prioritization of Preference Criteria for Higher Education. 1st International Higher Education Congress: New Trends and Issues, Vol. 3(XII), Istanbul, May, 1724-1731.
  4. Ayhan, M.B. (2013). A Fuzzy AHP Approach For Supplier Selection Problem: A Case Study In A Gearmotor Company. International Journal of Managing Value and Supply Chains, Vol.4, No.3, 11-23.
  5. Ayhan, M.B., and Kilic, H.S. (2015). A Two Stage Approach for Supplier Selection Problem in Multi-Item/Multi-Supplier Environment with Quantity Discounts. Computers & Industrial Engineering, Vol.85, 1-12, https://doi.org/10.1016/j.cie.2015.02.026
  6. Ayhan, M.B. (2018). A New Decision Making Approach for Supplier Selection: Hesitant Fuzzy Axiomatic Design. International Journal of Information Technology and Decision Making, Vol.17, No:4, 1085-117.
  7. Basaran, B. (2012). A Critique on the Consistency Ratios of Some Selected Articles Regarding Fuzzy AHP and Sustainability. 3rd International Symposium on Sustainable Development, May 31-June 01, Sarajevo, 2012, 318-326.
  8. Buckley, J. J. (1985). Fuzzy hierarchical analysis. Fuzzy Sets Systems, Vol.17 (1), 233–247.
  9. Chou, S-W., Chang, Y-C. (2008). The implementation factors that influence the ERP (Enterprise Resource Planning) Benefits. Decision Support Systems, 46(1), 149-157.
  10. Çelik, N., Üzmez, U. (2014). Evaluation of University Students’ Affecting Factors Choice of Profession. Electronic Journal of Occupational Improvement and Research Vol. 2(1), 94-105. D’Souza, J. (2018). Self-Actualization. The SAGE Encyclopedia of Lifespan Human Development, 1921-1922.
  11. Gati, I. and Saka, N. (2001). High School Students’ Career-Related Decision-Making Difficulties. Journal of Counseling &Development, Vol. 79, 331-340.
  12. Göksu, A. and Güngör, İ. (2008). Fuzzy Analytic Hierarchy Process and Its Application of University Preference Ranking. Suleyman Demirel University the Journal of Faculty of Economics and Administrative Sciences, Vol. 13(3), 1-26.
  13. Kılıç, H. S. and Ayhan M.B. (2011). Analyzing the Factors in the University Selection Based