The Impact of Artificial Intelligence on the Formation of a Teacher’s Digital Twin in the Metaverse

Abstract

Recently, higher education has undergone significant changes due to the use of digital technologies and innovations. The use of innovative platforms, hybrid models and online services cannot overcome the requirements of today. To solve these problems, the article proposes a hypothesis regarding the use of a digital twin of a teacher. The use of modeling, design and optimization of the pedagogical educational process based on a cyber-physical system built on mathematical modeling and synergy is suggested. The study presents the process of building cooperation between a teacher and a higher education student when creating a digital twin of the latter, which integrates a model of the subject area of knowledge for the educational process, takes into account the variable parameters of the education student and models the educational process based on the use of the latest artificial intelligence technologies. The proposed architecture includes Internet of Things (IoT) technologies, machine learning and big data analytics, which together reflect the digitalization of Industry 4.0 and support for the “live” learning process. The results of the study demonstrate the practical consequences of using artificial intelligence tools among students and teachers. The need to use significant computing and machine equipment to analyze the results of the implementation of a digital twin is emphasized. The results of a two-stage survey of higher education students and university teachers are presented. They indicate positive aspects, such as: work-life balance and flexibility of learning. At the same time, the disadvantages are obvious as psychological safety and ethics of data use. As a result, the authors concluded that the digital twin of a teacher is an individual, transparent, adaptive and motivational tool for improving the educational process. Its further implementation depends in the future on resolving issues related to the ethics of personal data and psychological support by creating a conference database, impartiality algorithms and a reliable methodological foundation for resolving potential conflicts.