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ÖĞRENME YÖNETİM SİSTEMLERİ (ÖYS) İÇİN BİR KARAR VERME MODELİ

A DECISION MAKING MODEL FOR LEARNING MANAGEMENT SYSTEMS (LMS)

Journal Name:

  • Eğitim ve Öğretim Araştırmaları Dergisi

Publication Year:

  • 2012

Key Words:

Keywords (Original Language):

Author NameUniversity of Author
Abstract (2. Language): 
As a result of recent developments in the age of information, competitors of organizations have gained a global character around the world which gains a global structure. Firms that can follow developments and using opportunities of information technologies for their strategies prominently, will be one step ahead in the global competitive area. Firms don’t want to be left behind in global competition, have to prepare and adapt their employees to the rapid change. One of the most effective approaches to gaining knowledge and skills for employees to keep up with the changing world is e-learning. E-learning requires a high investment cost of the Learning Management Systems (LMS) that the most important factor. Providing the necessary criteria and compliance with the standards of these systems, which achieved by making high investment in firms is extremely important. In terms of decision makers, appropriate LMS selection for using e-learning is a complex decision making process. In this study, a decision support modeling that can guide to the decision makers was achieved. Each of 59 criteria obtained by literature review was rated by 28 academics and experts who have various experiences in distance education area and weight values were calculated.
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Abstract (Original Language): 
Bilgi ve iletişim çağında yaşanan gelişmeler sonucunda küresel bir yapı kazanan dünyada organizasyonların rakipleri de küresel bir nitelik kazanmıştır. Değişimi takip edebilen, bilişim teknolojilerinin fırsatlarını stratejilerinde belirgin bir şekilde kullanan firmalar küresel rekabet ortamında bir adım önde olacaktır. Küresel rekabette geride kalmak istemeyen firmalar, çalışanlarını hızlı değişime hazırlamak ve adapte etmek zorundadırlar. Çalışanların değişen dünya düzenine ayak uydurmak için edinecekleri bilgi ve becerilerin kazandırılmasında en etkili yaklaşımlardan birisi e-öğrenmedir. E-öğrenme için yüksek bir yatırım maliyeti gerektiren en önemli unsur Öğrenme Yönetim Sistemleri (ÖYS)’dir. Kurumların büyük yatırımlar yaparak elde ettikleri bu sistemlerin gerekli kriterleri taşıması ve standartlara uygunluğu son derece önemlidir. Karar vericiler açısından e-öğrenme için kullanılacak en uygun ÖYS’nin seçimi karmaşık bir karar verme sürecidir. Bu çalışmada karar vericilere bu süreçte rehberlik edebilecek bir karar destek modellemesi gerçekleştirilecektir. Literatür taraması sonucu elde edilen 59 kriterin her biri, farklı uzaktan eğitim deneyimlerine sahip 28 akademisyen ve uzman tarafından puanlanmış ve ağırlık değerleri hesaplanmıştır.
FULL TEXT (PDF): 
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  • 3
295-304
  • Turkish

REFERENCES

References: 

Advanced Distributed Learning (ADL) Co-Laboratories. (2011). Choosing a Learning Management System.
Virginia: Serco Services, Inc.
Arh, T., & Blažič, B. J. (2007). Application of Multi-Attribute Decision Making Approach to Learning
Management Systems Evaluation. Journal Of Computers, 2(10), 28-37.
Eğitim ve Öğretim Araştırmaları Dergisi
Journal of Research in Education and Teaching
Ağustos 2012 Cilt 1 Sayı 3 ISNN: 2146-9199
303
Dağdeviren, M., & Eren, T. (2001). Tedarikçi Firma Seçiminde Analitik Hiyerarşi Prosesi ve 0-1 Hedef
Programlara Yöntemlerinin Kullanılması. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 41-52.
Ellis, R. K. (2009). Guide to Learning Management Systems. American Society for Training & Development
(ASTD).
Ergülen, A., Kazan, H., & Kaplan, M. (2005). İşletmelerde Dağıtım Sistemi Maliyetleri Minimizasyonu İçin Çözüm
Modeli: Bir Firma Uygulaması. Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 13, 163-172.
Eroğlu, E., & Lorcu, F. (2007). Veri Zarflama Analitik Hiyerarşi Prosesi (Vzahp) İle Sayısal Karar Verme. İ.Ü.
İşletme Fakültesi İşletme Dergisi, 36(2), 30-53.
Ghodsypour, S. H., & O’Brien, C. (2001). The Total Cost of Logistics in Supplier Selection, Under Conditions of
Multiple Sourcing, Multiple Criteria and Capacity Constrain. International Journal of Production Economics,
73(1), 15-27.
Harrison, E. F. (1999). The Managerial Decision-Making Process (Fifth Edition b.). Boston, New York: Houghton
Mifflin Company.
Hou, J., & Su, D. (2007). EJB–MVC Oriented Supplier Selection System for Mass Customization. Journal of
Manufacturing Technology Management, 18(1), 54-71.
Hrmo, R., & Kucerka, D. (2011). Information Competence and Evolution of e-learning Text With the Fog Index.
14th International Conference on Interactive Collaborative Learning (ICL2011)-11th International Conference
Virtual University (vu'11) (s. 390-294). Piešt'any, Slovakia: IEEE.
Kurilovas, E. (2009). Methods of Multiple Criteria Evaluation of the Quality of Learning Management Systems
for Personalised Learners Needs. Learning Management Systems meet Adaptive Learning Environments
Workshop at the European Conference on Technology-Enhanced Learning (s. 1-10). Nice, France: Technische
Universiteit Eindhoven.
Kurilovas, E., & Dagiene, V. (2010). Multiple Criteria Evaluation of Quality and Optimisation of e-Learning
System Components. Electronic Journal of e-Learning, 8(2), 141-151.
Liu, G. (2010). Influences of E-Learning to Life-Long Education . Computer Science and Information Technology
(ICCSIT), 3rd IEEE International Conference on (s. 218-222). Chengdu: IEEE.
Mendoza, A., & Ventura, J. A. (2008). An Effective Method to Supplier Selection and Order Quantity Allocation.
International Journal of Business and Systems Research, 2(1), 1-15.
Ng, W. L. (2008). An Efficient and Simple Model for Multiple Criteria Supplier Selection Problem. European
Journal of Operational Research, 186(3), 1059-1067.
Nichols, M. (2003). A theory of e-Learning. Educational Technology & Society, 6(2), 1-10.
Özata, M., & Aslan, Ş. (2004). Klinik Karar Destek Sistemleri ve Örnek Uygulamalar. Kocatepe Tıp Dergisi, 5, 11-
17.
Pipan, M., Arh, T., & Blažič, B. J. (2008). Evaluation Cycle Management - Model for Selection of the Most
Applicable Learning Management System. WSEAS Transactions on Advances in Engineering Education, 3(5),
129-136.
Sun, P.-C., Tsai, R. J., Finger, G., Chen, Y.-Y., & Yeh, D. (2008). What Drives a Successful e-Learning? An Empirical
Investigation of The Critical Factors Influencing Learner Satisfaction. Computers & Education, 50, 1183–1202.
Eğitim ve Öğretim Araştırmaları Dergisi
Journal of Research in Education and Teaching
Ağustos 2012 Cilt 1 Sayı 3 ISNN: 2146-9199
304
Talluri, S., & Narasimhan, R. (2003). Vendor Evaluation With Performance Variability: A Max–Min Approach.
European Journal of Operational Research, 146(3), 543-552.
Talluri, S., & Narasimhan, R. (2005). A Note on “A Methodology for Supply Base Optimization". IEEE
Transactions on Engineering Management, 52(1), 130-139.
Wang, G., Huang, S. H., & Dismukes, J. P. (2004). Product-driven Supply Chain Selection Using Integrated Multi-
Criteria Decision-Making Methodology. International Journal of Production Economics, 91, 1-15.
Watson, W. R., & Watson, S. L. (2007). An Argument for Clarity: What Are Learning Management Systems,
What Are They Not, and What Should They Become? TechTrends, 51(2), 28-34.

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