• The Journal of the Convergence on Culture Technology
• /
• v.7 no.2
• /
• pp.333-338
• /
• 2021

Development of 5th generation mobile telecommunication technology is visualizing ideal hyper-connected social information and communication technology (ICT). In particular, virtual reality (VR) technology is at the starting point for new expansion and leaps. This work defines virtual reality as media in this context and collects and analyzes discourse on its scalability around space and communication theory. We first elaborated the concept, starting with the early discussions of the virtual reality concept in 1990, and discussed the relationship between the physical world and digital information, expression and interaction immersion as a medium, simulation, art creation theory, and finally evolutionary development. In conclusion, beyond the discourse on the technology of virtual reality, academic subjects were required to have theoretical frameworks on cognitive science, neuroscience, social science, and humanities issues (ethics, personality, etc.) for the development and evolution of virtual reality. In other words, it is time for the evolution of virtual reality to be discussed, which can be moved beyond.

• Journal of Korea Game Society
• /
• v.21 no.2
• /
• pp.139-150
• /
• 2021

This study analyzed the effectiveness by developing an online program to enhance collaborative problem-solving capabilities for college freshmen using gamification. According to the research results, the operational model of the online program for enhancing collaborative problem-solving capabilities using gamification was presented in five stages: 1 preparation, 2 team building, 3 assessment, 4 feedback, and 5 achievement sharing. The results of the "pre-test" and post T-test of creative problem-solving capabilities, the variables related to creative problem-solving skills, academic challenge, creative thinking ability, and convergence value creation have been significantly improved. What should be discussed in the future is the need to experience collaborative problem solving process online, and to develop game design and platform that can discuss and communicate.

• Journal of the Korean Crystal Growth and Crystal Technology
• /
• v.32 no.6
• /
• pp.246-250
• /
• 2022

An estimation method of glass viscosity using Lakatos model is one of the best way to calculate the viscosity of soda-lime glass. The glass viscosity is obtained by inputting a glass composition consisting of SiO₂, Al₂O₃, Na₂O, K₂O, CaO and MgO to the Lakatos model. A series of composition of glass bottles was obtained once a month for 10 months from a soda-lime glass bottle fabrication line and isokom temperatures at the viscosity of log η = 3, 6.6, 10 and 12.3 were calculated. It was found that the isokom temperature at log η = 3 and log η = 6.6 was closely related to the value of (Si+Al)/O and 1/Na, respectively.

• Journal of Digital Convergence
• /
• v.19 no.11
• /
• pp.279-285
• /
• 2021

This study attempted to provide basic data for educational programs to improve career preparation behaviors by identifying the effects of nursing students' self-esteem and empathy on career preparation behaviors. Nursing Students and the 150 people who underwent descriptive research targets, data collection period was done by November 30, 2019 from IRB approval. The data were analyzed correlations between variables were analyzed using Pearson's correlation coefficient, and stepwise multiple regression analysis was used to determine the factors that affect the clinical performance of the Nursing Students (SPSS 23 version). As a result of the study, empathy ability was positively correlated with gender (r=.179, p=.029), self-esteem was negatively correlated with academic performance (r=-.231, p=.005), career preparation behavior showed a positive correlation with the number of practice hospitals(r=.178, p=.030). As the empathy ability of nursing students improved (β=.19, p=.020), career preparation behavior increased. Through this, the study is meaningful in that it suggested the need and direction to maintain a positive attitude toward career preparation behaviors of nursing students. suggest.

• Journal of Industrial Convergence
• /
• v.20 no.2
• /
• pp.45-50
• /
• 2022

In this study, an e-portfolio system was constructed and utilized to communicate with students, while processing the overall procedure of teaching-learning activities as data for qualitative improvement in the non-face-to-face educational environment. The e-portfolio system was designed to support the entire process of reflection from the instructor's lesson planning, regular checking of the learner's understanding during the course operation process, online communication, and support for learner-centered educational activities. Analyzing the effectiveness of the communication-based learning effect between instructors and learners using the e-portfolio in liberal arts programming classes, which may be difficult for non-major students, a significant correlation was found in problem-solving skills, and midterm and final exams. Additionally, the result of analyzing the expanded applicability of e-portfolio satisfaction demonstrated a significant correlation with the students' computational thinking ability, test results, assignments, and academic performance. It was found to have a significant effect on the improvement of computational thinking ability. If non-face-to-face education is conducted using the proposed e-portfolio system type, it will be possible to improve the quality of online education, while communicating effectively with students.

• The Journal of the Convergence on Culture Technology
• /
• v.8 no.6
• /
• pp.487-492
• /
• 2022

Universities are looking for various methods to enhance educational competence level suitable for the rapidly changing social environment. This study suggests a method to promote academic and educational achievements by reducing drop-out rate from their majors through implementation of pre-survey of satisfaction that revised and complemented survey items. To supplement the CQI method implemented after a general satisfaction survey, a pre-survey of satisfaction was carried out. To consolidate students' competences, this study made prediction and analysis of data with more importance possible using the Random Forest of the machine learning technique that can be applied to AI Medici platform, whose design is underway. By pre-processing the pre-survey of satisfaction, the students information enrolled in classes were defined as an explanatory variable, and they were classified, and a model was created and learning was conducted. For the experimental environment, the algorithms and sklearn library related in Jupyter notebook 3.7.7, Python 3.7 were used together. This study carried out a comparative analysis of change in educational satisfaction survey, carried out after classes, and trends in the drop-out students by reflecting the results of the suggested method in the classes.

• Journal of Internet of Things and Convergence
• /
• v.8 no.3
• /
• pp.69-74
• /
• 2022

Big data related analysis techniques, the prescriptive analytics methodology improves the performance of passive learning models by ensuring that active learning secures high-quality learning data. Prescriptive analytics is a performance maximizing process by enhancing the machine learning models and optimizing systems through active learning to secure high-quality learning data. It is the best subscription value analysis that constructs the expensive category data efficiently. To expand the value of data by collecting research field, research propensity, and research activity information, customized researcher through prescriptive analysis such as predicting the situation at the time of execution after data pre-processing, deriving viable alternatives, and examining the validity of alternatives according to changes in the situation Provides research information service.

• The Journal of the Convergence on Culture Technology
• /
• v.8 no.4
• /
• pp.227-238
• /
• 2022

This paper studies the change process and characteristics of the 'Korean community cinema movement'. The community cinema movement that has been active since the 2010's can be said to be a turning point in the Korean film culture movement. However, academic and policy definitions and research on the community cinema movement are extremely insufficient and only appear in some seminars or policy research reports. This study aims to discover the characteristics of the 'Korean community cinema movement' in the flow of the Korean alternative screening movement. A comparative study through a diachronic approach to the Korean alternative screening movement and case analysis of community cinema is intended to identify the characteristics of Korean community cinema and suggest policy measures for which a support system has not yet been prepared.

• Journal of Internet of Things and Convergence
• /
• v.8 no.4
• /
• pp.57-63
• /
• 2022

The purpose of this study is to provide basic data on policy development using big data analysis and machine learning algorithms as part of preparing measures to prevent child abuse. In order to analyze big data for developing machine learning algorithms to prevent child abuse, frequency analysis, related word analysis, and emotional analysis were performed after defining academic databases and social network service data as big data. related words, and emotional analysis were conducted. As a result of the study, a preventive child abuse algorithm can be developed by preparing a data collection and sharing network system to prevent child abuse from the perspective of children affected by child abuse, perpetrators, and government authorities. Although it will be possible by institutionalizing infant self-esteem, depression, and anxiety tests with clues that depression and anxiety appear due to a decrease in self-concept in the characteristics of children affected by child abuse. We suggest that continuous progress of big data collection and analysis and algorithm development research to prevent child abuse, and expects that effective policies to prevent child abuse will be realized to eradicate child abuse crimes.

• The Journal of the Convergence on Culture Technology
• /
• v.8 no.5
• /
• pp.121-126
• /
• 2022

This study purports to achieve three different yet related tasks. First of all, this study reviews thoroughly social economy as an academic subject which have been drawing much attentions in social science. Secondly, this study examines developmental trajectory of social economy in Korea and reviews categories and types of social economy in current Korean society. Lastly, this study introduces several arguments around social economy. For these tasks, brief summary of the definitions of social economy from foreign and domestic scholars will be provided. Then five controversial subjects on social economy will be introduced. Those are the effect of social economy on employment, the future of social economy in the context of welfare state, the sustainability of social economy, the relationship of social economy with civil society, and the relationship between social economy and basic income. The author hopes that this study could provide thorough pirctire of social economy conceptually as well as practically for those who are interested in social economy both in academia and civil society organizations.