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A systematic literature review on multi-criteria decision making in higher education

Year 2023, Volume: 10 Issue: 1, 12 - 28, 20.03.2023
https://doi.org/10.21449/ijate.1104005

Abstract

The three components that form the basis of the educational process are the teacher, the learner, and the environment. These three components are affected by the developing and changing technology as a result of globalization considerably. Teaching and learning techniques should be updated and connected with these developments; new tools are therefore needed to make the necessary updates. Determination and application of the new tools include many decisions. Decision-makers can make more effective decisions using Multi-Criteria Decision-Making Techniques (MCDM), a complex decision-making tool that includes both quantitative and qualitative factors at present time. This study aimed to determine which MCDM methods are used in studies conducted in higher education, which is one of the most important development level indicators of countries, and to present a systematic literature review of MCDM method applications. The study was conducted in three stages: first, known electronics were searched until the end of 2021 using keywords; then, all studies were listed in a systematic taxonomy, and in the last stage, Thematic Network Analysis was used to evaluate the development of MCDM studies in the higher education area. It is determined that the Analytical Hierarchy Process (AHP) method is the most widely used method in higher education in MCDM applications. It was observed that the most common use of MCDM applications in higher education is e-learning as well. This study aims to be a guide for all researchers and practitioners who will study in both higher education and the MCDM areas.

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References

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  • Aly, M.F., Attia, H.A., & Mohammed, A.M. (2014). Prioritizing faculty of engineering education performance by using AHP-TOPSİS and balanced scorecard approach. International Journal of Engineering Science and Innovative Technology, 3(1), 11-23.
  • Anggrainingsih, R., Umam, M.Z., & Setiadi, H. (2018). Determining e-learning success factor in higher education based on user perspective using Fuzzy AHP. MATEC Web Conferences. 154, 03011. https://doi.org/10.1051/matecconf/201815403011
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  • Badri, M.A., & Abdulla, M.H. (2004). Awards of excellence in institutions of higher education: an AHP approach. International Journal of Educational Management, 18(4), 224-242. https://doi.org/10.1108/09513540410538813
  • Bali, O., & Gencer, C. (2005). AHP Bulanık AHP ve Bulanık Mantıkla Kara Harp Okuluna öğretim elemanı seçimi [Ahp, Fuzzy Ahp, and Fuzzy Logic Selection of Academic Staff to Turkish Military Academy]. Kara Harp Okulu Savunma Bilimleri Dergisi, 4, 24-43.
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A systematic literature review on multi-criteria decision making in higher education

Year 2023, Volume: 10 Issue: 1, 12 - 28, 20.03.2023
https://doi.org/10.21449/ijate.1104005

Abstract

The three components that form the basis of the educational process are the teacher, the learner, and the environment. These three components are affected by the developing and changing technology as a result of globalization considerably. Teaching and learning techniques should be updated and connected with these developments; new tools are therefore needed to make the necessary updates. Determination and application of the new tools include many decisions. Decision-makers can make more effective decisions using Multi-Criteria Decision-Making Techniques (MCDM), a complex decision-making tool that includes both quantitative and qualitative factors at present time. This study aimed to determine which MCDM methods are used in studies conducted in higher education, which is one of the most important development level indicators of countries, and to present a systematic literature review of MCDM method applications. The study was conducted in three stages: first, known electronics were searched until the end of 2021 using keywords; then, all studies were listed in a systematic taxonomy, and in the last stage, Thematic Network Analysis was used to evaluate the development of MCDM studies in the higher education area. It is determined that the Analytical Hierarchy Process (AHP) method is the most widely used method in higher education in MCDM applications. It was observed that the most common use of MCDM applications in higher education is e-learning as well. This study aims to be a guide for all researchers and practitioners who will study in both higher education and the MCDM areas.

Project Number

-

References

  • Altunok, T., Özpeynirci, O., Kazancoglu, Y., & Yilmaz, R. (2010). Comparatives of multicriteria decisions making methods for postgraduate student selection. Egitim Arastirmalari-Eurasian Journal of Educational Research, 40, 1-15.
  • Aly, M.F., Attia, H.A., & Mohammed, A.M. (2014). Prioritizing faculty of engineering education performance by using AHP-TOPSİS and balanced scorecard approach. International Journal of Engineering Science and Innovative Technology, 3(1), 11-23.
  • Anggrainingsih, R., Umam, M.Z., & Setiadi, H. (2018). Determining e-learning success factor in higher education based on user perspective using Fuzzy AHP. MATEC Web Conferences. 154, 03011. https://doi.org/10.1051/matecconf/201815403011
  • Aytaç, S., & Bayram, N. (2001). Üniversite gençliğinin iş ve eş seçimindeki etkin kriterlerinin analitik hiyerarşi süreci (AHP) ile analizi [Analysis of university youth's effective criteria for job and spouse selection by analytical hierarchy process (AHP)]. Öneri Dergisi, 4(16), 89-100. https://doi.org/10.14783/maruoneri.727643
  • Badri, M.A., & Abdulla, M.H. (2004). Awards of excellence in institutions of higher education: an AHP approach. International Journal of Educational Management, 18(4), 224-242. https://doi.org/10.1108/09513540410538813
  • Bali, O., & Gencer, C. (2005). AHP Bulanık AHP ve Bulanık Mantıkla Kara Harp Okuluna öğretim elemanı seçimi [Ahp, Fuzzy Ahp, and Fuzzy Logic Selection of Academic Staff to Turkish Military Academy]. Kara Harp Okulu Savunma Bilimleri Dergisi, 4, 24-43.
  • Begicevic, N., & Divjak, B. (2006). Validation of theoretical model for decision making about e-learning implementation. Journal of Information and Organizational Sciences, 30(2), 171-184.
  • Begicevic, N., Divjak, B., & Hunjak, T. (2007). Development of AHP based-model for decision making on e-learning implementation. Journal of Information and Organizational Sciences, 31, 13-24.
  • Bo, L., Xuning P., & Bingquan B. (2009). Modeling of network education effectiveness evaluation in fuzzy analytic hierarchy process. International Conference on Networking and Digital Society, 2, 198–200. ICNDS’09, IEEE.
  • Cakir, E., & Ozdemir, M. (2018). Altı sigma projelerinin bulanık copras yöntemiyle değerlendirilmesi: Bir üretim işletmesi örneği [Evaluation of six sigma projects with fuzzy copras method: An example of a manufacturing company]. Verimlilik Dergisi, 1, 7-39.
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Details

Primary Language English
Subjects Other Fields of Education
Journal Section Articles
Authors

Fatma Şeyma Yüksel 0000-0002-8080-2665

Ayşe Nilgün Kayadelen 0000-0002-5442-893X

Figen Antmen 0000-0001-8475-1300

Project Number -
Publication Date March 20, 2023
Submission Date April 15, 2022
Published in Issue Year 2023 Volume: 10 Issue: 1

Cite

APA Yüksel, F. Ş., Kayadelen, A. N., & Antmen, F. (2023). A systematic literature review on multi-criteria decision making in higher education. International Journal of Assessment Tools in Education, 10(1), 12-28. https://doi.org/10.21449/ijate.1104005

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