Uzaktan Eğitimde Kullanılan Bulanık Mantık Tabanlı Öğrenme Modelleri, Platformlar, Ölçme ve Değerlendirme Yöntemleri

Year 2021, Issue: 25, 406 - 416, 31.08.2021

Beyza Esin Özseven , Naim Cagman

https://doi.org/10.31590/ejosat.898349

Cited By: 2

Abstract

Uzaktan eğitim, geleneksel eğitimin teknolojik araçlar yardımıyla zaman ve mekan bağımsız olarak gerçekleştirilmesidir. Teknolojik gelişmeler ve pandemi sürecinin başlaması ile birlikte uzaktan eğitime olan talep çok yüksek seviyelere ulaşmıştır. Uzaktan eğitim sürecinin başarı ile idame ettirilmesi ve öğrencinin eğitim hayatını başarılı bir şekilde sürdürülmesi için kullanılacak öğrenme modelleri, platformlar ve ölçme değerlendirme yöntemleri önem arz etmektedir. Bu çalışma, uzaktan eğitimde kullanılan öğrenme modelleri, platformlar, ölçme ve değerlendirme ve uzaktan eğitimde bulanık mantığın kullanımına ilişkin bir derleme çalışmasıdır. Araştırma kapsamında uzaktan eğitimin uygulanmasına ilişkin literatür taraması yapılmıştır. Araştırma sonucunda, senkron ve asenkron sistemleri destekleyen platformların daha etkin eğitim sağladığı, öğrencilerin sistemi kullanım desenlerinin de ön planda olduğu, akademik güvensizliğin önüne geçmek için yapay zeka tekniklerinden yararlanıldığı ortaya konulmuştur. Ayrıca, bulanık mantığın öğrenme desenlerinin belirlenmesi, platform seçimi ve ölçme ve değerlendirme de yaygın olarak kullanıldığı sonucuna ulaşılmıştır.

Keywords

Uzaktan Eğitim, Yapay Zeka, Bulanık Mantık, Ölçme ve Değerlendirme

Learning Models, Platforms, Measurement and Evaluation Methods Based on Fuzzy Logic Used in Distance Education

Abstract

Distance education is the realization of traditional education independent of time and place with the help of technological tools. With the technological developments and the pandemic, the demand for distance education has reached very high levels. Learning models, platforms and assessment and evaluation methods to be used for the successful continuation of the distance education process and the successful education of the student are important. This study is a review study on learning models, platforms, measurement and evaluation used in distance education, and the use of fuzzy logic in distance education. Within the scope of the research, literature review on the application of distance education has been made. As a result of the research, it was revealed that platforms that support synchronous and asynchronous systems provide more effective training, students' system usage patterns are also at the forefront, and artificial intelligence techniques are used to prevent academic insecurity. In addition, it was concluded that fuzzy logic is widely used in determining learning patterns, platform selection, and assessment and evaluation.

Keywords

Distance Learning, Artificial Intelligance, Fuzzy Logic, Measurement and Evaluation

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