• Membrane Journal
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• v.27 no.4
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• pp.336-343
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• 2017

These days, the quality of indoor air is a very important concept for modern people who have lived in building and is a matter of new thinking. The quality is determined by the temperature and humidity of indoor air. In addition, there is a disadvantage in that energy consumption is severe for indoor air improvement. Therefore, researches on methods to solve such problems using total heat exchange have been actively conducted. So, in this study, aminated poly(styrene-ethylene-butylene-styrene) polymers were synthesized by introducing a hydrophilic substituent, ammonium, into main chain and the properties of synthesized polymers were evaluated. The synthesis was carried out through chloromethylation and amination reactions to introduce ammonium into main chain. As a result, the water uptake and the ion exchange capacity of the synthesized polymers increased as the content of the reaction reagent solution increased. It was confirmed that the important data at the total heat exchange membrane, water vapor transmission rate also increased according to temperature, equivalent.

• Journal of the Korea Convergence Society
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• v.10 no.2
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• pp.83-88
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• 2019

This study examines the effects of student-centered project-based learning for the development of creative problem-solving skills, communication skills, critical thinking skills, and cooperation. A college students' creative personality test was used and pre-and post-test were performed. and TOEIC Speaking practice test by Educational Testing Service were selected to measure the English communication skills. The SPSS 18.0 was used and validated at a significance level of 5%. The result of this study shows that in the case of 'independence', the post-test average of the experimental group was statistically significant at the significant level (p<.01), which also showed statistically significant difference. There was statistically significant difference between the control group ($M=127{\pm}08.2$) and in the experimental group ($M=132{\pm}18.7$) applying project-based and problem-based convergent learning to English class were positively changed.

• Journal of The Korean Association of Information Education
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• v.25 no.3
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• pp.437-448
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• 2021

As the core technology of the Fourth Industrial Revolution, AI is applied to various fields of society(e.g. politics, culture, industry, economy, etc.) and causes revolutionary changes. Students who will lead the age of AI need the ability to recognize social changes due to AI, acquire AI related knowledge and utilize AI in various situations. However, it is difficult for elementary school students to understand the concept and principles of AI. Therefore, this study developed an AI education program by selecting educational contents and methods appropriate to the level of elementary school students, and investigated the educational effects of the program by applying it to an actual educational setting. The content selected in this study is 'Social Awareness on AI', 'Understanding AI' and 'Utilizing AI', and eight content elements were selected. To help students learn AI easily and pleasantly at their level, activity-centered education, convergence of subjects and project-based learning were selected as instructional methods, and 20 sessions of education program were developed and implemented. In addition, the effects of the program were analyzed concerning 'perception on AI', 'convergent thinking', 'creative problem-solving' and 'collaboration capability', and positive changes were verified for all four aspects.

• 한국체육학회지인문사회과학편
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• v.57 no.3
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• pp.117-133
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• 2018

The purpose of this study was to explore integrated approaches to physical education in general education by examining methodology of physical education aiming for convergence education. This case study was conducted, using a qualitative approach during March, 2017 to November, 2017. Data were collected through non-participant observation, in-depth interviews, field-notes, students' journal, syllabus and lecture materials. The key findings are as follows: First, "Emotion Coaching through Movement" is a course of 'understanding of body' approaching integrated humanities science and natural science. Second, it is a convergence education, conducting 'text to daily practice' by approaching positive psychology and neurophysiology. Third, it is a physical education with 'integrated theory and practice' in higher education. These results indicate that students can understand their own body, observe their daily and fixed movement or reaction pattern, and enhance the ability of understanding others through a physical education in general education.

• Journal of Digital Convergence
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• v.16 no.9
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• pp.29-37
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• 2018

The purpose of this study was to investigate factors affecting self-directed learning of workers. For this purpose, 335 workers were surveyed in two cities in the northwestern part of Chungcheongnamdo. The research was carried out by difference test to identify the diffrence of self-directed learning according to general characteristics and by correlation analysis of main variables. Also in order to identify the effect of hope and growth mindset on self-directed learning, hierarchical regression analysis was conducted by diving the group into employee-level and higher employee-level. The main results are as follows. First, Self-directed learning differed by gender. Second, correlation analysis revealed that hope, growth mindset and self-directed learning were positively correlated. Third, regression analysis showed that the pathway thinking of hope and the intelligence of the growth mindset influenced self-directed learning of employee-level workers. And it showed that the pathway thinking of hope influenced self-directed learning of higher employee-level workers. Finally, we discussed policies to enhance workers' self-directed learning based on positions.

• Journal of the Korea Society of Computer and Information
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• v.25 no.1
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• pp.93-99
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• 2020

With the development of digital technology and the increasing demand for learning how to improve one's ability to solve problems through play and participation interactions, a variety of edutainment game contents are being developed. The edutainment game contents developed until recently have received a large number of contents for intelligence development and transfer of knowledge such as Korean and English mathematics for children and children. Recently, there have been various researches on the necessity and effect of STEAM education that foster convergent science and technology talents with comprehensive thinking ability and scientific inquiry spirit through the fusion education method among the subjects including science, technology, engineering, mathematics, And there is a growing need for the development of a parish suitable for STEAM education. However, there is a lack of STEAM educational content development that incorporates the technology of creative convergence talent training to develop talented people who can think and solve problems by crossing various academic boundaries. Therefore, this study develops game contents for early childhood education by combining STEAM education which foster convergent science and technology talents with comprehensive thinking ability and scientific inquiry spirit. And we designed and implemented STEAM game contents for infant learning education which can induce the interest of children and have fun by using gyroscope sensor of smartphone.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.13 no.2
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• pp.102-112
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• 2020

Smart City's goal is to solve urban problems through smart city's component technology, thereby developing eco-friendly and sustainable economies and improving citizens' quality of life. Until now, smart cities have evolved into component technologies, but it is time to focus attention on the needs and participation of citizens in smart cities. In this paper, we present a big data procedure for solving smart city problems based on citizens' needs and participation. To this end, we examine the smart city project market by region and major industry. We also examine the development stages of the smart city market area by sector. Additionally it understands the definition and necessity of each sector for citizen participation, and proposes a method to solve the problem through big data in the seven-step big data problem solving process. The seven-step big data process for solving problems is a method of deriving tasks after analyzing structured and unstructured data in each sector of smart cities and deriving policy programs accordingly. To attract citizen participation in these procedures, the empathy stage of the design thinking methodology is used in the unstructured data collection process. Also, as a method of identifying citizens' needs to solve urban problems in smart cities, the problem definition stage of the design sinking methodology was incorporated into the unstructured data analysis process.

• Journal of Industrial Convergence
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• v.20 no.5
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• pp.83-92
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• 2022

As cases of social and ethical problems caused by artificial intelligence technology have occurred, artificial intelligence ethics are drawing attention along with social interest in the risks and side effects of artificial intelligence. Artificial intelligence ethics should not just be known and felt, but should be actionable and practiced. Therefore, this study proposes an artificial intelligence ethics education model to strengthen the practical ability of artificial intelligence ethics. The artificial intelligence ethics education model derived educational goals and problem-solving processes using artificial intelligence through existing research analysis, applied teaching and learning methods to strengthen practical skills, and compared and analyzed the existing artificial intelligence education model. The artificial intelligence ethics education model proposed in this paper aims to cultivate computing thinking skills and strengthen the practical ability of artificial intelligence ethics. To this end, the problem-solving process using artificial intelligence was presented in six stages, and artificial intelligence ethical factors reflecting the characteristics of artificial intelligence were derived and applied to the problem-solving process. In addition, it was designed to unconsciously check the ethical standards of artificial intelligence through preand post-evaluation of artificial intelligence ethics and apply learner-centered education and learning methods to make learners' ethical practices a habit. The artificial intelligence ethics education model developed through this study is expected to be artificial intelligence education that leads to practice by developing computing thinking skills.

• Journal of Industrial Convergence
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• v.20 no.12
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• pp.245-250
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• 2022

This study aims to identify the factors that affect the satisfaction of practice among nursing students who participated after replacing it with on-campus practice in a situation where practice was not possible due to COVID-19. Data were collected from 144 nursing students who participated in the clinical practice alternative campus practice conducted from September 13 to December 3, 2021 at a university located in G province. Data analysis was analyzed by ANOVA, Pearson's correlation coefficient, and hierarchical multiple regression analysis. The subject's satisfaction with practice is a general characteristic, self-efficacy (r=.540, p=.000), self-leadership (r=.553, p=.000), and critical thinking ability (r=.382, p=.000). , there was a significant correlation between major satisfaction (r= .248, p=.003). Variables that affect the clinical performance of the subjects were self-efficacy 20.4% (𝛽=.266, p=.047), self-leadership 51.2% (𝛽=.271, p=.047), and satisfaction with practice The explanatory power of the variables was 33.8%. Therefore, it is necessary to develop and apply a curriculum that can increase self-leadership and self-efficacy in order to increase the satisfaction of nursing students' practice.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.173-180
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• 2024

We This study aimed to quantitatively analyze the theme of 'libertinage' and the associated issues of reason and emotion in 『Dangerous Liaisons』, a novel considered a masterpiece of libertine literature and an epistolary novel of the 18th century, using digital analysis tools. First, based on the frequency analysis of word usage using Voyant and LIWC 22, we confirmed that libertinage is manifested with keywords such as 'love' and 'time'. With Voyant's 'Contexts' feature, it was found that the letters sent by Valmont to Madame de Tourvel and those sent by Madame de Merteuil both have 'love' as the central theme. However, emotional vocabulary was higher in the former, whereas strategic vocabulary was more prevalent in the latter. Additionally, it was observed that the most frequently used word in the letters sent by Madame de Merteuil is 'time', with a higher frequency than 'love'. Thirdly, using LIWC 22, we measured the analytical thinking and emotional tone of the letters exchanged by the main characters, and analyzed how these values changed according to the chapters. Through these analyses, we confirmed that this novel, alongside Rousseau's "New Eloise," anticipates romanticism by embracing the theme of 'emotion,' which was rejected by 18th-century Enlightenment ideals.