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

Yıl 2023, Cilt: 10 Sayı: 1, 12 - 28, 20.03.2023
https://doi.org/10.21449/ijate.1104005

Öz

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.

Destekleyen Kurum

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Proje Numarası

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Teşekkür

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Kaynakça

  • 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.
  • Cebi, A., & Karal, H. (2017). An application of fuzzy analytic hierarchy process (FAHP) for evaluating students’ Projects. Educational Research and Reviews, 12(3), 120-132. https://doi.org/10.5897/ERR2016.3065
  • Celikten, M., Gilic, F., Celikten., & Yildirim, A. (2019). Örgüt yönetiminde karar verme süreci: Bitmeyen bir tartışma [Decision making process in organization management: An endless discussion]. Mersin Üniversitesi Eğitim Fakültesi Dergisi, 15(2), 581-592.
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A systematic literature review on multi-criteria decision making in higher education

Yıl 2023, Cilt: 10 Sayı: 1, 12 - 28, 20.03.2023
https://doi.org/10.21449/ijate.1104005

Öz

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.

Proje Numarası

-

Kaynakça

  • 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.
  • Cebi, A., & Karal, H. (2017). An application of fuzzy analytic hierarchy process (FAHP) for evaluating students’ Projects. Educational Research and Reviews, 12(3), 120-132. https://doi.org/10.5897/ERR2016.3065
  • Celikten, M., Gilic, F., Celikten., & Yildirim, A. (2019). Örgüt yönetiminde karar verme süreci: Bitmeyen bir tartışma [Decision making process in organization management: An endless discussion]. Mersin Üniversitesi Eğitim Fakültesi Dergisi, 15(2), 581-592.
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  • Lesmes, D., Castillo, M., & Zarama, R. (2009). Application of The Analytic Network Process (ANP) to Establish Weights in Order to Re-Accredit a Program of a University. Proceedings of the International Symposium on the Analytic Hierarchy Process, 29.
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  • Lin, H.F. (2010). An application of fuzzy AHP for evaluating course website quality. Computers & Education, 54, 877-888. https://doi.org/10.1016/j.compedu.2009.09.017
  • Mehregan, M.R., Jamporazmey, M., Hosseinzadeh, M., & Mehrafrouz, M. (2011a). Proposing an approach for evaluating e-learning by integrating critical success factor and fuzzy AHP. International Conference on Innovation, Management and Service, Singapore.
  • Mehregan, M.R., Jamporazmey, M., Hosseinzadeh, M., & Mehrafrouz, M. (2011b). Application of fuzzy analytic hierarchy process in ranking modern educational systems’ success criteria. International Journal of e-Education, 1(4), 299-304.
  • Melon, M.G., Beltran, P.A., & Cruz, M.C.G. (2008). An AHP-based evaluation procedure for Innovative Educational Projects: A face-to-face vs. computer-mediated case study. Omega, 36, 754-765. https://doi.org/10.1016/j.omega.2006.01.005
  • Mendoza, G.A., Prabhub, R. (2000). Multiple criteria decision-making approaches to assessing forest sustainability using criteria and indicators: A case study. Forest Ecology and Management, 131, 107-126.
  • Mohammed, H.J., Kasim, M.M., & Shaharanee, I.N. (2018). Evaluating of e-learning approaches using AHP-TOPSIS technique, Journal of Telecommunication, Electronic and Computer Engineering, 10, 1-10.
  • Mondal, K., & Pramanik, S. (2014). Neutrosophic Sets and Systems, 6, 28-34.
  • Murakoshi H., Kawarasaki T., & Ochimizu K. (2001). Comparison using AHP Web-based learning with classroom learning, Proceedings of Symposium on Applications and the Internet Workshops, 67-73. https://doi.org/10.1109/SAINTW.2001.998212
  • Mustaffa, W.S.W., Shokory, S.M., & Kamis, H. (2006). The Analytical Hierarchy Process: Multi-Criteria Decision Making for Promoting Academic Staff in Higher Education. The Journal of Global Business Management, 2(2).
  • Nagpal, R., Mehrotra, D., Sharma, A., & Bhatia, P. (2013). ANFIS method for usability assessment of the website of an educational institute. World Applied Sciences Journal, 23(11), 1489–1498. https://doi.org/10.5829/ idosi.wasj.2013.23.11.790
  • Nagpal, R., Mehrotra, D., Bhatia, P.K., & Sharma, A. (2015). FAHP approach to rank educational websites on usability. International Journal of Computing and Digital Systems, 4(4), 251–260. http://dx.doi.org/10.12785/IJCDS/040404
  • Naveed, Q.N., Qureshi, M.R.N., Alsayed, A.O., Muhammad, A., Sanober, S. & Shah, A. (2017). Prioritizing barriers of E-learning for effective teaching-learning using fuzzy analytic hierarchy process (FAHP). 4th IEEE International Conference on Engineering Technologies and Applied Sciences (ICETAS), 1-8.
  • Naveed, Q.N., Qureshi, M.R., Tairan, N., Mohammad, A., & Shaikh, A. (2020). Evaluating critical success factors in implementing e-learning system using multi-criteria decision-making. PLoS ONE, 15(5), https://doi.org/10.1371/journal.pone.0231465
  • Nilashi, M., & Janahmadi, N. (2012). Assessing and prioritizing affecting factors in e-learning websites using the AHP method and fuzzy approach. Information and Knowledge Management, 2(1), 46-61.
  • Nikoomaram, H., Mohammadi, M., Javad Taghipouria, M., & Taghipourian, Y. (2009). Training performance evaluation of administration sciences instructors by fuzzy MCDM approach. Contemporary Engineering Sciences, 2(12), 559–575.
  • Omurbek, N., Karaatli, M., & Yetim, T. (2014). Analitik hiyerarsi surecine dayali TOPSIS ve VIKOR yöntemleri ile ADIM universitelerinin değerlendirilmesi [Evaluation of ADIM universities with TOPSIS and VIKOR methods based on analytical hierarchy process]. Selcuk Universitesi Sosyal Bilimler Dergisi, Dr.Mehmet YILDIZ special issues. 189-207.
  • Opricovic, S., (1998). Multicriteria Optimization of Civil Engineering Systems [Doctoral dissertation, Faculty of Civil Engineering].
  • Ozdemir, M.S., & Gasimov R.N. (2004). The analytic hierarchy process and multiobjective 0-1 faculty course assignment. European Journal of Operational Research, 157, 398-408. https://doi.org/10.1016/S0377-2217(03)00189-9
  • Ozkul, A.E., Girginer, N., & Ozturk, Z.K. (2007). Multi-Criteria Evaluation of Distance Education Implementation Models using Analytic Hierarchy Process, Proceedings of the 21st Annual Conference Empowering Asia through Partnership in Open and Distance Learning, 87.
  • Ozturk, Z.K. (2014). Using a multi-criteria decision making approach for open and distance learning system selection. Anadolu University Journal of Science and Technology– An Applied Sciences and Engineering, 15(1), 1-14.
  • Paksoy, S. (2015). Ülke göstergelerinin vikor yöntemi ile değerlendirilmesi [Evaluation of Country Indicators by Vikor Method]. Ekonomik ve Sosyal Araştırmalar Dergisi, 11(2), 153-169.
  • Perez Vergara, I.G., Arias Sa´nchez, J.A., Poveda-Bautista, R., & Diego-Mas J.A. (2020). Improving distributed decision making in inventory management: A combined ABC-AHP approach supported by teamwork. Complexity, 3–5, 1–13.
  • Politis, Y., & Siskos, Y. (2004). Multicriteria methodology for the evaluation of a Greek engineering department. European Journal of Operational Research, 156, 223-240. https://doi.org/10.1016/S0377-2217(02)00902-5
  • Ray, S. (2007). Selecting a doctoral dissertation supervisor: analytical hierarchy approach to the multiple criteria problem. International Journal of Doctoral Studies, 2, 23-32. https://doi.org/10.28945/55
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  • Tezergil, S. (2016). Vikor yöntemi ile Türk bankacılık sektörünün performans analizi [Evaluation of Country Indicators by Vikor Method]. Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi, 38(1), 357-373. https://doi.org/10.14780/iibd.92056
  • Timor, M., (2011). Analitik hiyerarşi prosesi [Analytical hierarchy process]. Türkmen Kitabevi.
  • Turki, A., & Duffuaa, S. (2003). Performance measures for academic departments. International Journal of Educational Management, 17(7), 330 338. https://doi.org/10.1108/IJEM-09-2014-0129
  • Tzeng, G.H., Chiang, C.H., & Li, C.W. (2007). Evaluating intertwined effects in learning programs: A novel hybrid MCDM model based on factor analysis and DEMATEL. Expert Systems with Applications, 32, 1028 1044. https://doi.org/10.1016/j.eswa.2006.02.004
  • Wu, H.Y., Chen, J.K., Chen, I.S., & Zhuo, H.H. (2012). Ranking universities based on performance evaluation by a hybrid MCDM model. Measurement, 45, 856-880. https://doi.org/10.1016/j.measurement.2012.02.009
  • Yazdani, B.O., Yaghoubi, E.S., & Giri, E.S. (2011). Factors affecting the empowerment of employees (an empirical study). European Journal of Social Sciences, 20(2), 267-274.
  • Yigit, T., Isik, A.H., & Ince, M. (2014). Web-based learning object selection software using analytical hierarchy process. IET Software, 8(4), 174–183. https://doi.org/10.1049/iet-sen.2013.0116
  • Zare, M., Pahl, C., Rahnama, H., Nilashi, M., Mardani, A., Ibrahim, O., & Ahmadi, H. (2016). Multi-criteria decision-making approach in e-learning: A systematic review and classification. Applied Soft Computing, 45, 108 128. https://doi.org/10.1016/j.asoc.2016.04.020
Toplam 89 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Alan Eğitimleri
Bölüm Makaleler
Yazarlar

Fatma Şeyma Yüksel 0000-0002-8080-2665

Ayşe Nilgün Kayadelen 0000-0002-5442-893X

Figen Antmen 0000-0001-8475-1300

Proje Numarası -
Yayımlanma Tarihi 20 Mart 2023
Gönderilme Tarihi 15 Nisan 2022
Yayımlandığı Sayı Yıl 2023 Cilt: 10 Sayı: 1

Kaynak Göster

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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