Social distancing has encouraged the use of various non-face-to-face services utilizing information and communication technology, especially in the education sector. Educators and learners are increasingly utilizing online technology to conduct non-face-to-face classes, which has resulted in an increased use of EduTech. Virtual education is expected to expand continuously. However, students involved in virtual education find it difficult to focus and participate in the classes. Hence, we propose a system that can improve learners’ focus and immersion in metaverse-based education. In this paper, we propose a sustainable educational metaverse content and system based on deep learning that can enhance learners’ immersion. We built an AI-based simulation that judges learning activities based on the learning behavior rather than on the learner’s device and program events and allows the user to proceed to the next level of education. In the simulation implemented in this study, virtual reality educational contents were created for 12 educational activities, and the effectiveness of four learning models in assessing the learning effectiveness of learners was evaluated. From the four models, an ensemble model with boosting was adopted considering its accuracy, complexity, and efficiency. The F1-score and specificity of the adopted learning model were confirmed. This model was applied to the system in a simulation.

The problem of transparency in donation systems has long been a topic for discussion. However, the emphasis on transparency raises privacy concerns for donors and recipients, with some people attempting to hide donations or the receipt of money. Therefore, a donation system that guarantees transparency and privacy is required to avoid negative side effects. In this study, we developed a system that protects personal information by using a one-time account address system based on a blockchain while emphasizing transparency. The developed system could contribute to the creation of a sustainable and safe donation environment and culture.

As the sharing economic market grows, the number of users is also increasing but many problems arise in terms of reliability between providers and users in the processing of services. The existing methods provide shared economic systems that judge the reliability of the provider from the viewpoint of the user. In this paper, we have developed a system for establishing mutual trust between providers and users in a shared economic environment to solve existing problems. In order to implement a system that can measure and control users’ situation in a shared economic environment, we analyzed the necessary factors in a cyber physical system (CPS). In addition, a user measurement system based on a CPS structure in a sharing economic environment is implemented through analysis of the factors to consider when constructing a CPS.