Earticle

Background/Objectives: This study examined if there a significant difference in math scores between the morning and afternoon class sections of first-year undergraduate game development students in mathematics. Methods/Statistical analysis: This experimental study had a population of an unpaired group composed of a morning and an afternoon class time. The i-Ready® Online Mathematics Assessment by Curriculum Associates was used to measure the math scores of each group proctored by the researchers and analyzed using Levine’s test (t-test) and Mann-Whitney U test. Findings: The results of the study show that there is no significant difference in math scores between the morning and the afternoon class times. Improvements/Applications: For future studies, the researchers aim to determine the math scores of the morning and afternoon class times of the different year undergraduate levels.

Background/Objectives: As urbanization increases worldwide, so do the need for smart cities that enable more efficient city management. Based on smart city operational data, it explains the digital twin technologies required to predict outcomes and control according to circumstances through virtual simulations and presents related metaverse technologies. Methods/Statistical analysis: Introduction and explanation of smart city services using blockchain. The data infrastructure underlies each area, such as city operations, essential in a smart city. Findings: Therefore, blockchain is used to avoid hacking, data errors, and system failures of the existing centralized management and ensure data integrity and system stability by building a more secure server. In addition, blockchain enables the establishment of governance and free access to information through individual information sovereignty. Improvements/Applications: Most smart city models do not have a high level of authentication. Therefore, this study investigated a new smart city model that provides security and convenience to citizens by mutually complementing the virtual and real worlds by predicting urban situations through digital twins that can simulate impossible conditions in reality based on blockchain-based authentication.

Background/Objectives : This study takes focusing on TikTok live commerce in China, divides the influence of internet celebrity into 2 factors, such as charm and professionalism, and finds out its influence on the intention of recommendation and the media effect of input and perceived value. In order to confirm this argument, this study makes an empirical analysis on Chinese native Chinese and Chinese students in Korea. Methods/Statistical analysis :The analysis results show that the charm and professionalism of online red have a positive impact on recommendation intention, and confirm the media role of investment and perceived value in the relationship between internet celebrity`s influence and recommendation intention. Findings : Based on the above results, it is confirmed that the charm and professionalism of internet celebrity are important reasons to improve users' recommendation intention. Improvements/Applications : In addition, the enlightenment is put forward through this study, and the limitations and future research directions are discussed.