Journals / Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering / 2014 / Cilt: 15 - Sayı: 1

USING A MULTI CRITERIA DECISION MAKING APPROACH FOR OPEN AND DISTANCE LEARNING SYSTEM SELECTION

AÇIK VE UZAKTAN EĞİTİM SİSTEMİ SEÇİMİ İÇİN ÇOK ÖLÇÜTLÜ BİR KARAR VERME YAKLAŞIMININ KULLANILMASI

Pages
1–14
Publication Date
2015-05-05
DOI
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AI Summary & Key Takeaways

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

It's concluded that the Bachelor's degree programs are the most preferred ones.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Today, there's a wide variety of open and distance learning (ODL) systems around the world.
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Key Findings & Data:Herein, for lifelong learning how to select an ODL program becomes a critic question for a learner who wants to extent abilities on his/her career path.
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Conclusion & Impact:It's concluded that the Bachelor's degree programs are the most preferred ones.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Analitik Serim Süreci · E-öğrenme · Açık ve uzaktan öğrenme

Abstract

Today, there's a wide variety of open and distance learning (ODL) systems around the world. Herein, for lifelong learning how to select an ODL program becomes a critic question for a learner who wants to extent abilities on his/her career path. This is a complex decision problem with interdependent criteria. The Analytic Network Process (ANP) is a multicriteria decision making methodology that reflects these interdependencies. Within the ANP networks of influence one includes all the factors and criteria, tangible and intangible, which have bearing on making a best decision. In this paper, an ANP model is constructed to search out and prioritize the criteria affecting these ODL systems and to help learners in selecting a program. It's concluded that the Bachelor's degree programs are the most preferred ones. In addition, this model will help the institutions in the regard of which criteria are prominent in terms of different programs. Therefore, this study will support the institutions in regard to ODL policy development

Özet

Bugün, dünya çapında çeşitli açık ve uzaktan eğitim (ODL) sistemleri bulunmaktadır. Bu noktada, yaşam boyu öğrenme kapsamında kariyer yolundaki yeteneklerini geliştirmek isteyen bir öğrenen için bir ODL programını nasıl seçeceği önemli bir soru haline gelmektedir. Bu ise birbirine bağlı ölçütlerden oluşan karmaşık bir karar problemidir. Analitik Serim Süreci (ANP) , bu bağlılıkları ele alan çok ölçütlü bir karar verme yöntemidir. ANP’deki serimler en iyi kararı vermek için hem nitel hem de nicel tüm faktör ve ölçütleri içermektedir. Bu çalışmada, ODL sistemlerini etkileyen ölçütleri araştırmak ve önceliklendirmek ile öğrenenlere bir ODL programı seçiminde yardımcı olmak amacıyla bir ANP modeli kurulmuştur. Çalışma sonucunda, lisans programları en çok tercih edilen ODL programı olmuştur. Ayrıca önerilen ANP modeli, her bir program türünün yürütülmesi için hangi ölçüt ve/veya ölçütlere dikkat edilmesi konusunda da uzaktan eğitim kurumlarına yardımcı olacaktır. Bu nedenle bu çalışma, ODL politikası geliştirme açısından da kurumlara destek verecektir.

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Cite This Article

ÖZTÜRK, Z. K. (2015). USING A MULTI CRITERIA DECISION MAKING APPROACH FOR OPEN AND DISTANCE LEARNING SYSTEM SELECTION. Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering, Cilt: 15 - Sayı: 1, 1–14. https://ajindex.com/articles/196950

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References (5)

  1. Chao, R. J., Chen, Y. H. 2009. Evaluation of The Criteria and Effectiveness of Distance E- Learning with Consistent Fuzzy Preference Relations, Expert Systems with Applications 36: 10657– 10662. http://dx.doi.org/10.1016/j.eswa.2009.02. 047 Chen, J. K., Chen, I. S. 2010. Using a Novel Conjunctive MCDM Approach Based on DEMATEL, Fuzzy ANP, and TOPSIS as an Innovation Support System for Taiwanese Higher Education, Expert Systems with Applications 37: 1981–1990. http://dx.doi.org/10.1016/j.eswa.2009.06. 079 Daniel, S. J. 1995.
  2. Preface. In F. Lockwood, Open and Distance Learning Today. London. Routledge. Ertuğrul, İ., Karakaşoğlu, N. 2007. Fuzzy TOPSIS Method for Academic Member Selection in Engineering Faculty. In M. Iskender, Innovations in E-Learning, Instruction Technology, Assessment and Engineering Education. Springer. Gaba, A. K., Dash, N. K. 2004. Course Evaluation in Open and Distance Learning: A Case Study from Indira Gandhi National Open University, Open Learning 192: 213-221. http://dx.doi.org/10.1080/0268051042000 224806 Govindasamy, T. 2002. Successful Implementation of E-Learning; Pedagogical Considerations, The Internet and Higher Education 43(4): 287–299. http://dx.doi.org/10.1016/S1096- 7516(01)00071-9
  3. Girginer, N., Ozturk, Z. K., Ozturk, G., Ozkul, A. E. 2007. Using ANP for Courseware Development Platform Selection, in Proc. of The 21st Annual Conference Empowering Asia through Partnership in Open and Distance Learning (AAOU- 2007), 29-31 October, 2006,
  4. Kuala Lumpur, Malaysia, 87. Janssen, J., Tattersall, C.; Waterink, W.; Van den Berg, B.; Van Es, R., Bolman, C., Koper, R. 2007. Self-organising Navigational Support in Lifelong Learning: How Predecessors Can Lead The Way, Computers & Education 493: 781-793. http://dx.doi.org/10.1016/j.compedu.2005. 11.022 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, in Proc. of The 10th International Symposium on The Analytic Hierarchy Process, 29 July – 1 August, 2006,
  5. Pittsburgh, USA. Available from Internet: http://www.isahp.org/2009Proceedings/Fi nal_Papers/44_LesmesCastilloZarama_A NPinWeightingUniversityPrograms_REV _FIN.pdf Meade, L. M., Sarkis, J. 1999. Analyzing Organizational Project Alternatives for Agile Manufacturing Processes: An Analytic network approach, International Journal of Production Research 372: 241–261. http://dx.doi.org/10.1080/0020754991917 51 Milheim, W. 2001. Facu