The purpose of this study was to examine experiences of caring parents-in-law in Korea among daughters-in-law who are currently caring their parents-in-law while living with them, or have experienced such care-giving, and who have been married for at least 5 years. Daughters-in-law this study deals with are from three countries: Korean women, Chinese and Japanese women who immigrated to Korea by getting married with Korean husbands. To find out those women who can express their experiences clearly, this study used an intentional sampling method where this study asked the Multicultural Family Support Center to recommend five Chinese and five Japanese housewives who matched the following qualifications: those who have experiences of caring their parents-in-law at home, who have lived in Korea for at least five years, and who had no difficulty in expressing their opinions in Korean language. Korean married women were recommended by the neighbors. This study conducted in-depth interviews to those 15 housewives from Korea, china, and Japan. Before doing the interview, this study gave explanation of the contents and aims of this study to those interview participants over phone, and got the written consent from each of the women. To analyze the interview data, Colaizzi's phenomenological method was used. The emergent themes identified in the findings were as follows: 'positive perception of traditional nature of filial duty', 'help and encouragement by those who are nearby', 'exhausting marriage life', 'Korean family culture that is hard to adapt to', and 'unreasonable male-focused patriarchal culture.'
The purpose of this study is to analyze the effect of group co-learning on English reading ability and motivation and the change in group co-learning perception after planning and applying a group co-study class program that can be applied in university liberal arts English class. In order to achieve this goal, the experiment team (34 students) conducted the class from September 2 to December 13, 2019 for 62 freshmen who participated in the compulsory liberal arts English class at the four-year university in North Chungcheong Province, and the control team (28 students) conducted the class as a typical lecture class based on the basis of cooperative learning. The English proficiency of the learners was approached by dividing the area of academic proficiency into English reading skills and the area of justice into English reading motivations. The pre-experimental learners' English reading skills were measured by excerpting the national level educational achievement assessment (high 2). The research results are as follows. First, it was shown that the English reading ability score of a group that applied group cooperative learning and the English reading ability score of a group that did not apply group cooperative learning were statistically significant differences. Second, there was a difference between the English reading motivation score of the group applying the convocation group cooperative learning and the English reading motivation score of the group not applied. Third, the change in the perception of groups applying the convocation group cooperative learning occurred before and after the experiment. This study found that the awareness of English reading, English reading motivation, and cooperative learning increased through cooperative learning among university students during liberal arts English classes, which has a positive effect on self-identity and so on.
The Science and Technology Information Service provided by the Korea Institute of Science and Technology Information (KISTI) is a service designed to allow users to easily and conveniently search and view content that is built similar to the general information service. NDSL is KISTI's core science, technology and information service, providing about 138 million content and having about 93 million page views in a year of 2019. In this paper, various insights were derived through the analysis of how science and technology information such as academic papers, reports and patents provided by NDSL is searched and utilized through web services (https://www.ndsl.kr) and search query words. In addition to general statistics such as the status of content construction, utilization status and utilization methods by type of content, monthly/weekly/time-of-day content usage, content view rate per one-time search by content type, the comparison of the use status of academic papers by year, the relationship between the utilization of domestic academic papers and the KCI index we analyzed the usability of each content type, such as academic papers and patents. We analyzed query words such as the language form of query words, the number of words of query words, and the relationship between query words and timeliness by content type. Based on the results of these analyses, we would like to propose ways to improve the service. We suggest that NDSL improvements include ways to dynamically reflect the results of content utilization behavior in the search results rankings, to extend query and to establish profile information through non-login user identification for targeted services.
Journal of the Korea Society of Computer and Information
/
v.25
no.3
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pp.243-250
/
2020
In this paper, we propose an effective software education scheme for universities. The key idea of this software education scheme is to analyze software curriculum of QS world university rankings Top 10, SW-oriented university, and regional main national university. And based on the results, we propose five improvements for the effective SW education method of universities. The first is to enhance the adaptability of the industry by developing courses based on the SW developer's job analysis in the curriculum development process. Second, it is necessary to strengthen the curriculum of the 4th industrial revolution core technologies(cloud computing, big data, virtual/augmented reality, Internet of things, etc.) and integrate them with various fields such as medical, bio, sensor, human, and cognitive science. Third, programming language education should be included in software convergence course after basic syntax education to implement projects in various fields. In addition, the curriculum for developing system programming developers and back-end developers should be strengthened rather than application program developers. Fourth, it offers opportunities to participate in industrial projects by reinforcing courses such as capstone design and comprehensive design, which enables product-based self-directed learning. Fifth, it is necessary to develop university-specific curriculum based on local industry by reinforcing internship or industry-academic program that can acquire skills in local industry field.
The purpose of this paper is to provide a search system using a method of accessing the web in real time without using a database server in order to guarantee the up-to-date information in a single network, rather than using a plurality of bots connected by a wide area network Design. The method of the research is to design and analyze the system which can search the person and keyword quickly and accurately in crepe system. In the crepe server, when the user registers information, the body tag matching conversion process stores all the information as it is, since various styles are applied to each user, such as a font, a font size, and a color. The crepe server does not cause a problem of body tag matching. However, when executing the crepe retrieval system, the style and characteristics of users can not be formalized. This problem can be solved by using the html_img_parser function and the Go language html parser package. By applying queues and multiple threads to a general-purpose web crawler, rather than a web crawler design that targets a specific site, it is possible to utilize a multiplier that quickly and efficiently searches and collects various web sites in various applications.
The Journal of the Convergence on Culture Technology
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v.4
no.2
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pp.89-96
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2018
This study analyzed status and demand of participation in lifelong education for 218 residents of low-income class according to National Basic Livelihood Security Act. The results of the study are as follows. First, among the statuses of participation in lifelong education, the abilities to study of the low-income class were reviewed. They showed 95.3% of foreign language ability, 66.1% of ICT utilization capacity and 75.7% of computer literacy ability. And the lifelong education participation rate of low-income people was 75.7% It was considered as passive participation in education. Voluntary participation was identified and analyzed. The the actual participation rate in lifelong education was very low at 22.9%. Social participation and awareness according to participation in lifelong education was 43.3% higher than that of respondents who had no participation experience. Especially, voluntary participants showed 73.3% higher than those who did not participate. Second, as a result of analyzing lifelong education of low income class, 74.8% of the respondents answered that there is wished education program. And 50.0% of them could not participate because they did not have enough time. The programs that they wanted to participate in were the programs that could help their real lives such as home life, health and medical courses, professional qualification obtaining process, etc. This indicates that the income level plays a significant role in participation in lifelong education. As a result of analyzing the results of this study above, Korean lifelong education is emphasized and the participation rate is increasing rapidly. However, participation of low-income class in lifelong education seems low.
The Journal of the Convergence on Culture Technology
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v.4
no.2
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pp.197-204
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2018
One of the hottest issues in our 21st century is AI. Just as the automation of manual labor has been achieved through the Industrial Revolution in the agricultural society, the intelligence information society has come through the SW Revolution in the information society. With the advent of Google 'Alpha Go', the computer has learned and predicted its own machine learning, and now the time has come for the computer to surpass the human, even to the world of Baduk, in other words, the computer. Machine learning ML (machine learning) is a field of artificial intelligence. Machine learning ML (machine learning) is a field of artificial intelligence, which means that AI technology is developed to allow the computer to learn by itself. The time has come when computers are beyond human beings. Many companies use machine learning, for example, to keep learning images on Facebook, and then telling them who they are. We also used a neural network to build an efficient energy usage model for Google's data center optimization. As another example, Microsoft's real-time interpretation model is a more sophisticated translation model as the language-related input data increases through translation learning. As machine learning has been increasingly used in many fields, we have to jump into the AI industry to move forward in our 21st century society.
The Journal of the Convergence on Culture Technology
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v.3
no.4
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pp.93-100
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2017
The purpose of this study was to examine what was the child's character education recognized by mothers of multicultural families and what was the actual conditions and needs of the child's character education at home through the in-depth interviews, and to suggest the efficient direction of the child's character education for mothers of multicultural families. The research participants were 6 mothers with children in multicultural families who lived in E city of Gangwon-do. The results of this study were as follows. First, as for the child's character education recognized by mothers of multicultural families, it was said to doing character education at home such as becoming a good person, becoming a child to listen to the parent's words and to reconcile with family, and becoming a child who was in harmony with friends. Second, as for the actual conditions of child's character education, they often used a control language such as "Do not, no", when children did not behave properly. In particular, there were some cases of using threatening words such as "taking you to the police station". Third, they hoped that various interests and support would be provided, such as not listening to "You are ill-behaved because you are in a multicultural family," receiving husband's educational support, receiving grandparents' support, and interests from the educational institution, etc.
The Journal of the Convergence on Culture Technology
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v.3
no.4
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pp.35-42
/
2017
Behavior Economics, a branch of social sciences, which seeks to find the answers about why man sometimes does absurd economy-related things, came into existence through combining economics and psychology. To the contrary of the traditional economics', behavior economics has developed by explaining how man makes economy-related choices by means of applying their own cognitive principles. Individuals lack the information on the goods and services in the market, and don't know how to make best use of the obtained information, failing to achieve maximum utility. Therefore, man's rationality is meant to be confined to bounded rationality. It is the very Heuristic that does work in the process of this simplified decision making process. Heuristic utilizes established empirical notion and specific information, and that's why there can be cognitive biases sometimes leading to inaccurate judgment. As Oral Literature is basically based on heavy guesswork and perceptual biases of general public, it is imperative to contemplate oral literature in the framework of Heuristic of behavior economics. This thesis deals with thinking types and behavioral patterns of the short-piece proverbs, folklore language-game riddles on the basis of personal or public memory. As a result, it is evident that proverbs point out biases arising from human behaviors, while riddles make full or active use of biases.
Journal of the Korea Academia-Industrial cooperation Society
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v.19
no.2
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pp.164-172
/
2018
This paper examines the relevance of pre-production and storytelling in big data analysis and, focusing on JTBC's Man to Man series, looks at how the drama's storytelling should be structured. In this study, we conducted text mining on blogs focused on a particular topic to read the viewer's thoughts on pre-produced dramas and on 67 blogs written about Pre-Production Dramas from 2016.12.15 to 2017.12.15. Also, we conducted sentiment analysis about the Man to Man series, which is not only a pre-production drama, but also has storytelling issues. The blog text extraction and text mining were analyzed using the OutWit Hub and the R, and the tools.provided by social metrics were used to make sentiment analyses of the larger data. Sentiment analysis revealed that the viewers of the Man to Man series did not agree with the romance between Kim Sul-woo and Cha Do-ha, due to the lack of reality in the female characters. Therefore, it was concluded that it is crucial to increase the reality of the characters in order to increase the audience's empathy. These studies will continue to be necessary, because they will form the basis for digitally driven storytelling studies and will provide valuable materials for conducting predictions and instructions in the cultural content industry.
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