• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.2
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• pp.252-258
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• 2021

Software subjects such as programming practice and physical computing may have differences between men and women, and there may be individual differences in resilience due to errors and debugging. Therefore, in this study, we analyze gender differences in computational thinking classes by using a resilience testing tool. The results of this study showed that the two groups were homogeneous, and the male group did not show significant changes in resilience, but the female group showed significant increases in resilience. This study confirmed the possibility of reducing the gender gap of learners by allowing a group of female students who did not show strength in traditional software education to become more motivated and interested in the information and communication field through appropriate learning content and learning strategies in computational thinking classes.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.12
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• pp.1693-1699
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• 2019

The recent software education in middle schools is focused on physical computing, unplugged learning and pilot training. However, they are struggling in many ways, including cost, inducement of interest, motivation, and concentration. Also, the lack of systematic classroom design could make negative effect to students' understanding of classes or academic performance. In this paper, we intend to study the method of algorithm education using Chatbot system, which will increase efficiency of software education, with less burdensome in terms of cost, and also could be able to used as an assist tool in various classes. In class scenarios that require the understanding of coding mechanisms such as function application, algorithm design, and program coding, students can learn by themselves through the Chatbot system, which has a positive effect on student learning.

• The Journal of the Korea Contents Association
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• v.20 no.12
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• pp.206-220
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• 2020

In the glocal era, the competitiveness of local authorities leads to national competitiveness. Even though they have competitively adopted slogans to stay competitive, the process has not been systematic. The goal of this study is to provide basic data needed to develop and utilize urban brand slogans effectively. In terms of a research scope, 48 slogans currently in use by 24 local authorities of Gyeongsangbuk-do as of April 2020 were chosen. Concerning the lingual representation of such slogans, diverse languages such as Korean, English and Sino-Korean have been used. In terms of meaning of meaning and material type, there was a lack of coherence among the slogans. In addition, they were poor in representing identity, and abstract image upgrade types were commonly found. It is anticipated that the study results would make a contribution to the development of urban brand slogans and value generation.

• Journal of The Korean Association of Information Education
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• v.25 no.2
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• pp.337-346
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• 2021

Despite the increasing rate of use of data science in various fields of society, research on data science education programs is relatively inadequate. In this study, a data science education program for elementary school students was developed and its effectiveness was verified. We created a program that collects data using microbit, one of the physical computing tools, and developed an education program that performs the data science stage of analyzing the collected data to derive results. A study was conducted on 10 students enrolled in the Information Gifted Program at 00 University, and pre- and post-tests of computing thinking skills were conducted to verify the effectiveness. As a result, it was found that the data science education program developed through this study has a significant effect on improving the computational thinking of elementary school students.

• Journal of the Korea Convergence Society
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• v.13 no.3
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• pp.217-225
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• 2022

We analyzed efficiency and productivity of the Indian non-life insurance market affected by the COVID-19 pandemic from 2020. Using data envelopment analysis(DEA), we examined non-life insurance companies selling health insurance products in India from FY2013 to FY2019. We found the followings. First, average efficiency of the entire non-life insurance industry worsened in the beginning yet improved later. Second, analyzing the efficiency measures by group, we found that private insurance companies had the highest efficiency, followed by state-run insurance companies and pure health insurance companies. Third, average annual productivity growth rate of companies operating distance selling channels including telemarketing is higher than that of traditional face-to-face channels. During and after the COVID-19 pandemic, therefore, Indian non-life insurance companies should focus their resources and efforts on the development of distance selling channels when establishing business strategies. Besides, it would be interesting to extend our analysis to the post-coronavirus period and we leave this for future research.

• 지역과문화
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• v.7 no.1
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• pp.27-57
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• 2020

This study focuses on the culture-based revitalization strategy in creative rural areas. To this end, we first summarized the concept of creative village, which has been discussed in Japan and the West. Also, based on the relationship between them, we proposed a revitalization model of creative villages through the culture and arts. In this process, the concept and relationships were examined in detail through the example of Miryang Theater Village in Miryang. In addition, this study analyzed the problems of Miryang Theater Village and applied it to the concept of creative village and suggested an alternative. Through this process, we reconsidered the meaning and possibility of cultural arts in the creative village. And, it was confirmed that the cultural arts could be realized through the balance and organic linkage between the elements of creative villages in order to localize them in combination with the regional specificity of rural areas.

• Journal of The Korean Association of Information Education
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• v.25 no.6
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• pp.995-1003
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• 2021

As the need for artificial intelligence (AI) education, which will become the core of the upcoming intelligent information society rises, the national level is also focusing attention by including artificial intelligence-related content in the curriculum. In this study, the PASPA education program was presented to enhance students' creative problem-solving ability in the process of solving problems in daily life through supervised machine learning. And Micro:bit, a physical computing tool, was used to enhance the learning effect. The teaching and learning process applied to the PASPA education program consists of five steps: Problem Recoginition, Argument, Setting data standard, Programming, Application and evaluation. As a result of applying this educational program to students, it was confirmed that the creative problem-solving ability improved, and it was confirmed that there was a significant difference in knowledge and thinking in specific areas and critical and logical thinking in detailed areas.

• Journal of The Korean Association of Information Education
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• v.25 no.6
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• pp.935-945
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• 2021

The purpose of this study is to analyze the social perception of Arduino lecture using big data analysis method. For this purpose, data from January 2012 to May 2021 were collected using the Textom website as a keyword searched for 'arduino + lecture' in blogs, cafes, and news channels of NAVER website. The collected data was refined using the Textom website, and text mining analysis and semantic network analysis were performed by opening the Textom website, Ucinet 6, and Netdraw programs. As a result of text mining analysis such as frequency analysis, TF-IDF analysis, and degree centrality it was confirmed that 'education' and 'coding' were the top keywords. As a result of CONCOR analysis for semantic network analysis, four clusters can be identified: 'Arduino-related education', 'Physical computing-related lecture', 'Arduino special lecture', and 'GUI programming'. Through this study, it was possible to confirm various meaningful social perceptions of the general public in relation to Arduino lecture on the Internet. The results of this study will be used as data that provides meaningful implications for instructors preparing for Arduino lectures, researchers studying the subject, and policy makers who establish software education or coding education and related policies.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.193-199
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• 2022

This study tried to understand the effect of human capital of the elderly on life satisfaction. Data from the 8th KReIS additional survey were used for the study subjects, and the number of subjects was 1987. Descriptive statistics, t-test, ANOVA, and regression analysis were performed using SPSS 20.0. As a result, gender, age, education level, economic activity status, generational composition, spouse presence, and exercise type showed significant differences in life satisfaction. Life satisfaction and health status showed the highest positive (+) correlation, and monthly average income and education level showed the highest negative (-) correlation. As for human capital that affects life satisfaction, life satisfaction was higher in women than men, employed rather than unemployed, married generations, health, average monthly income, and regular exercise.

• The Research Journal of the Costume Culture
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• v.30 no.4
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• pp.563-578
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• 2022

Society's emphasis on a thin body ideal may intensify an individual's negative perceptions of fatness. The purpose of the present study was to examine the relationship between sociocultural attitudes toward appearance (awareness and internalization of the female ideal) and anti-fat attitudes among middle-aged Korean women. In addition, the aim was to examine whether the body internalization of female ideals was a mediator in the proposed model. Participants included a sample of 264 middle-aged Korean women who completed a series of measures online. The following information was collected through online questionnaires: awareness and internalization of the female ideal, attitudes toward fat, body weight perception, and demographics. Data were analyzed using correlation analysis, descriptive analysis, factor analysis, and structural equation modeling. The measurement model and the structural model testing provided an acceptable fit to the data, and all proposed pathways in the research model were statistically significant. Awareness of the female ideal was significantly and positively associated with internalization, and it significantly and positively predicted both constructs of anti-fat attitudes. Additionally, awareness of the female ideal was significantly and positively indirectly associated with attitudes toward fat people-dislike and willpower mediated by internalization. Overall, these findings suggest that society's emphasis on female appearance and a thin body can ultimately result in significant stigmatization of overweight/obese individuals. This study emphasizes the importance of establishing a healthy appearance standard to reduce anti-fat prejudice.