Matematik Öğretmen Adaylarının Metaverse Bilgi Düzeylerinin Analizi: ANFIS Yaklaşımı

Öz

Eğitim alanı teknolojik gelişmeden etkilenen ve hızla uyum sağlama gerektiren bir alandır. Metaverse de bu teknolojilerden biridir ve araştırmalarda eğitim de dahil olmak üzere, geleceğin dünyasında yaygın şekilde yerini alacağı öngörülmektedir. Ancak metaverse üzerine yapılan çalışmaların az olduğu ve yapılan çalışmaların da genellikle istatistiksel yöntemler kullanılarak analiz edildiği görülmektedir. Buradan hareketle çalışmada, Uyarlanabilir Nöro-Bulanık Çıkarım Sistemi (ANFİS) kullanarak matematik öğretmen adaylarının metaverse bilgi düzeylerini tahmin etmek ve modeller oluşturmak amaçlanmıştır. Bulanık mantık kullanımı bilim ve teknolojinin gelişmesi ile eğitim alanına da yayılmıştır. ANFIS ile sinir ağı araştırması ve bulanık mantığı birleştirerek ilgili yeteneklerden yararlanılır. Bu önemli avantaj göz önünde bulundurularak öğretmen adaylarının metaverse bilgi düzeylerini tahmin etmek için ANFIS modeli kurulmuştur. Araştırma 192 öğretmen adayının katılımı ile gerçekleşmiştir. Araştırmada veri toplama aracı olarak kişisel bilgi formu ve metaverse ölçeği kullanılmıştır. Çalışma sonucunda, öğretmen adaylarının metaverse ölçeğinden elde edilen puanları orta düzeyde çıkmış ve öğretmen adaylarının metaverse bilgi düzeylerinin gerçek ve yapay puanları birbirine oldukça yakın olarak tespit edilmiştir.

Anahtar Kelimeler

• Metaverse
• Matematik öğretmen adayları
• Yapay zeka

Analysis of Metaverse Knowledge Levels of Prospective Mathematics: ANFIS Approach

Öz

Education is a field that is affected by technological development and requires rapid adaptation. Metaverse is one of these technologies and it is predicted that it will take its place widely in the world of the future, including education in research. However, it is seen that there are few studies on metaverse and the studies are generally analysed using statistical methods. From this point of view, the aim of this study was to predict the metaverse knowledge levels of pre-service mathematics teachers by using Adaptive Neuro-Fuzzy Inference System (ANFIS) and to create models. The use of fuzzy logic has spread to the field of education with the development of science and technology. ANFIS combines neural network research and fuzzy logic to utilise the relevant capabilities. Considering this important advantage, ANFIS model was established to predict the metaverse knowledge levels of pre-service teachers. The research was conducted with the participation of 192 pre-service teachers. Personal information form and metaverse scale were used as data collection tools. As a result of the study, the scores of the pre-service teachers obtained from the metaverse scale were found to be at a moderate level and the real and artificial scores of the pre-service teachers' metaverse knowledge levels were found to be quite close to each other.

Anahtar Kelimeler

• Metaverse
• Education
• Prospective Mathematics Teachers
• Artificial intelligence

Kaynakça

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