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Journals / Bilişim Teknolojileri Dergisi / 2020 / Cilt: 13 - Sayı: 1

A Fuzzy Multi-Criteria Decision Analysis Approach for Cloud-Based Learning Management System Selection

Bulut Tabanlı Öğrenme Yönetim Sistemi Seçiminde Bulanık Çok Kriterli Karar Analizi Yaklaşımı

Hakan ÖZCAN
Bülent Gürsel EMİROĞLU
Pages
97–111
Publication Date
2020-01-31
DOI
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AI Summary & Key Takeaways

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

Based on the determined criteria, the most appropriate cloud-based LMS was chosen as TalentLMS as a result of fuzzy pairwise comparisons between the selected alternatives.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:With the development of cloud computing technology, learning management systems (LMSs) have gained new features and service options.
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Key Findings & Data:Consequently, the process of choosing among increasing product alternatives has become difficult.
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Conclusion & Impact:Based on the determined criteria, the most appropriate cloud-based LMS was chosen as TalentLMS as a result of fuzzy pairwise comparisons between the selected alternatives.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:multi criteria decision analysis · fuzzy analytic hierarchy process · cloud based learning management systems

Abstract

With the development of cloud computing technology, learning management systems (LMSs) have gained new features and service options. Consequently, the process of choosing among increasing product alternatives has become difficult. Choosing the most appropriate cloud-based LMS with certain criteria has been an important decision-making problem. In this study, a model has been developed by using Fuzzy Analytic Hierarchy Process (FAHP) to facilitate selection of the most suitable one from a group of cloud-based LMSs according to certain criteria. In this model, content support, interaction and collaboration, measurement and evaluation, course structure, interface, productivity tools, platform flexibility, scalability, security, support and licensing criteria that can be effective in cloud-based LMS selection are examined based on literature and expert opinions, and presented in a hierarchical structure. In the study, both the criteria and six alternatives in the context of a case study were evaluated by seven decision-makers specialized in the field of online education. Based on the determined criteria, the most appropriate cloud-based LMS was chosen as TalentLMS as a result of fuzzy pairwise comparisons between the selected alternatives.

Özet

Bulut bilişim teknolojisinin gelişmesiyle öğrenme yönetim sistemleri (ÖYS’ler) yeni özellikler ve servis seçenekleri kazanmıştır. Buna bağlı olarak artan ürün alternatifleri arasından seçim yapma süreci zorlaşmıştır. Belli kriterlere bağlı en uygun bulut tabanlı ÖYS’yi seçmek kurumlar için önemli bir karar verme sorunu olmuştur. Bu çalışmada, kurumların bir grup bulut tabanlı ÖYS arasından belli kriterlere uygun seçim yapabilmesini kolaylaştıracak Bulanık Analitik Hiyerarşi Süreci (BAHS) tabanlı bir model geliştirilmiştir. Bu modelde, bulut tabanlı ÖYS seçiminde etkili olabilecek içerik desteği, etkileşim ve iş birliği, ölçme ve değerlendirme, ders yapısı, arayüz, verimlilik araçları, platform esnekliği, ölçeklenebilirlik, güvenlik, destek ve lisanslama kriterleri literatüre ve uzman görüşlerine dayalı incelenmiş ve oluşturulan bir hiyerarşik yapı ile sunulmuştur. Çalışmada hem kriterler hem de durum çalışması kapsamında ele alınan altı alternatif, çevrim-içi eğitim alanında uzman yedi karar verici tarafından değerlendirilmiştir. Belirlenen kriterlere bağlı olarak, seçilen alternatifler arasında yapılan bulanık ikili karşılaştırmalar sonucu en uygun bulut tabanlı ÖYS, TalentLMS olarak belirlenmiştir.

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Cite This Article

ÖZCAN, H., EMİROĞLU, B. G. (2020). A Fuzzy Multi-Criteria Decision Analysis Approach for Cloud-Based Learning Management System Selection. Bilişim Teknolojileri Dergisi, Cilt: 13 - Sayı: 1, 97–111. https://ajindex.com/articles/251801

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