Analysis of Metaverse Knowledge Levels of Prospective Mathematics

Abstract

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.