• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.7
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• pp.219-228
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• 2016

This research aimed at investigating policy change process of after school contracting out and suggesting future alternative. Also, this research conducted a literature search for the research data related to policy and related regulations. As the result of investigation, the Ministry of Education established management plan for after school, however there have been changes in policy, e.g. contracting out was executed from 2004 to 2008 upon autonomy of unit school through school steering committee deliberation(consultation), while standardized procedure was conducted, which was suggested in 'After school operation guideline', produced in cooperation between the Ministry of Education and municipal ministry of education from 2008 to 2015, while since 2016, contract law should be applied when after school contracting out is adopted. Policy change since 2016 is based on the legal necessity that contract law should be followed as the contract size of after school contracting out has become larger along with necessity of clarity of after school contracting out. Nevertheless, there's a worry that quality of after school education could be degraded due to lowest price bidding. The government suggested an alternative to prevent excessive price competition by paying a regular rate of basic price as personnel expenses, however this research suggested a plan to enact an ordinance in regard of specialty of after school educational activities and cities and provinces as the fundamental solution plan.

• Journal of the Korean Society for information Management
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• v.40 no.2
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• pp.183-209
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• 2023

The purpose of this study is to evaluate the Dublin Core metadata generated by ChatGPT using book covers, title pages, and colophons from a collection of books. To achieve this, we collected book covers, title pages, and colophons from 90 books and inputted them into ChatGPT to generate Dublin Core metadata. The performance was evaluated in terms of completeness and accuracy. The overall results showed a satisfactory level of completeness at 0.87 and accuracy at 0.71. Among the individual elements, Title, Creator, Publisher, Date, Identifier, Rights, and Language exhibited higher performance. Subject and Description elements showed relatively lower performance in terms of completeness and accuracy, but it confirmed the generation capability known as the inherent strength of ChatGPT. On the other hand, books in the sections of social sciences and technology of DDC showed slightly lower accuracy in the Contributor element. This was attributed to ChatGPT's attribution extraction errors, omissions in the original bibliographic description contents for metadata, and the language composition of the training data used by ChatGPT.

• The Journal of Bigdata
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• v.7 no.2
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• pp.153-172
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• 2022

Online shopping has transformed and rapidly grown the entire market at the forefront of wholesale and retail services as an effective solution to issues such as digital transformation and social distancing policy (COVID-19 pandemic). Small business owners, who form the majority at the center of the online shopping industry, are constantly collecting policy changes and market trend information to overcome these problems and use them for marketing and other sales activities in order to overcome these problems and continue to grow. Objective and refined information that is more closely related to the business is also needed. Therefore, in this paper, through the collection and analysis of big data information, which is the core technology of digital transformation, key variables are set in product classification, sales trends, consumer preferences, and review information of online shopping malls, and a method of using them for competitor comparison analysis and business sustainability evaluation has been prepared and we would like to propose it as a service. If small and medium-sized businesses can benchmark competitors or excellent businesses based on big data and identify market trends and consumer tendencies, they will clearly recognize their level and position in business and voluntarily strive to secure higher competitiveness. In addition, if the sustainable growth of the online shopping mall operator can be confirmed as an indicator, more efficient policy establishment and risk management can be expected because it has an improved measurement method.

• Journal of Service Research and Studies
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• v.12 no.1
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• pp.36-48
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• 2022

As the use of smartphones has rapidly increased due to the development of digital technology, the expansion of smartphones, and the COVID-19 incident, dependence on smartphones and the Internet is emerging as a serious social problem. As one of the solutions to the smartphone overdependence problem, the government and companies are releasing smartphone overdependence prevention applications. However, research on the effectiveness of smartphone overdependence prevention applications is insufficient. Therefore, this study selects 25 applications serviced in Korea as analysis targets and evaluates smartphone overdependence prevention applications in terms of function and service using the FGI survey method to identify problems and propose improvements. In the function evaluation, the functions of blocking illegal/harmful apps/websites, limiting smartphone usage time, and monitoring smartphone usage status are provided in most applications, so satisfaction scores are also highly evaluated. However, functions such as location check, smombie prevention, and body camphishing prevention served by some applications are evaluated low due to poor performance and poor accuracy. Classified by service provider, government-providing applications need to accurately perform functions and improve convenience of use. Mobile-Carrier-providing applications need to improve connectivity with other carriers and compatibility with other smart devices like smartphone, tablet, etc. Other private enterprise-providing applications need to open AS channels such as customer service centre and chatbot to improve service.

• Journal of Service Research and Studies
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• v.11 no.3
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• pp.43-54
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• 2021

This study focused on indoor spaces and convenience devices among vehicle interior designs suitable for the autonomous driving era, and presented an interior design model for future automobiles by applying the STEEP analysis method. The service design methodology is applied to deal with changes in display devices installed for the purpose of rearranging layouts and providing driver-centered information. Changes in types and installation locations of displays for various purposes such as connected and infotainment are expected. In particular, through this analysis, trends and experiences through indoor interior research in future self-driving cars will be studied, and subsequent studies will be used as basic data for actual development and application. Key drivers were extracted after deriving future trends linking the research project conducted in five stages to STEEP and consulting experts through FGI. Through this, it was later presented as a direction for indoor design. Through user-centered participatory design methods, emotional keyword derivation methods were used, summarized the derived drivers in five major trends in the future society, and each derived drivers were grouped to consider the relevant technology fields, and added elements to the autonomous driving level. This is an indoor ray viewed from the perspective of various social issues as well as personal tendencies in the future self-driving car industry.

• Journal of Korea Entertainment Industry Association
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• v.13 no.5
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• pp.67-72
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• 2019

Animation is a comprehensive audio-visual art, animation literature, painting, music, architecture, photography and other art forms are integrated. China's animation industry has made some achievements in the new century, but on the whole, with the globalization of China, China's animation industry has been influenced by Japan and the United States. China has a history and culture of five thousand years, with profound social deposits and cultural foundation. Of the four ancient civilizations in the world, the Chinese civilization is the only one that has survived. China has too many stories to tell. From the development history of Chinese and foreign animation, we can see that many Chinese traditional cultural elements are used for reference. Since the 1980s, Chinese animation has been on the road of national revival. Chinese animation has begun to draw close to traditional culture in terms of themes, characters and scenes, and integrate Chinese traditional cultural elements. The theme of big fish and begonia is to repay kindness by sacrificing one's own life for the sake of justice and friendship. This fearless spirit of sacrificing one's life for justice is the concentrated embodiment of the fine qualities of the Chinese nation over the past several thousand years. Kun to save chun and give up his life, chun in order to repay rather give up half of his life, and qiushui in order to help their beloved, also would rather give up all of their own. These three protagonists are very distinctive personality characteristics, are to "righteousness" and give up their most precious things. At the same time, big fish and begonia combines many traditional Chinese cultural elements to form an animated film with Chinese characteristics.

• Journal of the Korean Society of Floral Art and Design
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• no.37
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• pp.33-48
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• 2017

This study examines garden activity and garden plant preferences for development of the garden activity program using community garden aimed for communication and integration for multicultural age. As a result, for members of multicultural society had high portion of floral arrangement and crafts, growing plants in both indoors and outdoors garden for their garden activities, and using plants for cooking, growing plants in both indoors and outdoors garden was of higher portion for native korean. In the garden plant preferences, members of multicultural society liked ornamental plants the best, due to the environmental correspondence between the plant's place of origin and their home country, while native koreans tend to prefer vegetables, reflecting the recent interest in pro-environment crops and rise in demand of urban farming, veranda gardening and weekend farming. In this study, the garden activity program for communication and integration categorized the value of garden activity into three categories; the value of respect for life, the value of consideration through caring, the value of plant ethics, based on the above preference results. The value of respect for life can be achieved by understanding the meaning of life, experiencing the will to live, and understanding the characteristics of plants and me. The value of consideration of caring comes from waiting and nurturing for living things that are different from me and adapting to the environment as a living The value of plant ethics can give us the insights for human relationships, by understanding and experiencing the natural ecosystem and plant co-existing in it. The eight-session garden activity program also went through validity verification process by experts on gardening and multiculture, and the effectiveness of the program was proved.

• 한국노년학
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• v.39 no.4
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• pp.895-902
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• 2019

This study reviewed the diagnosis accuracy and evaluation criteria of the fall risk assessment questionnaire that proved validity through factor analysis in previous studies. The purpose of this study was to diagnose high-risk groups and propose personal fall risk profiles for the Korean community-dwelling elderly. The participants of this study were 439 elderly people living in S, U, B, and Y cities Korea (mean age 75.0 ± 5.7 years). Receiver operating characteristic analysis was conducted to review the accuracy of the fall risk assessment and evaluation criteria of the FRA. The results showed that the four sub-factors of the FRA: 'Potential for fall', 'Disease and physical symptoms', 'Environment' and 'Physical function', can effectively diagnose the fall risk of the community-dwelling elderly. The evaluation criteria was presented based on the sensitivity and specificity results. In addition, as a result of analyzing the patterns by the sub factors of the fall risk, the high-risk group accounted for 80% of the elderly who had problems with two or more factors. Therefore, the four sub-factors of FRA can effectively diagnose the fall risk level, and could be present individual fall risk profiles based on the evaluation criteria.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.4
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• pp.333-351
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• 2023

This study investigates user behavior in library spaces through the lens of AI camera analytics. By leveraging the face recognition and tracking capabilities of AI cameras, we accurately identified the gender and age of visitors and meticulously collected video data to track their movements. Our findings revealed that female users slightly outnumbered male users and the dominant age group was individuals in their 30s. User visits peaked between Tuesday to Friday, with the highest footfall recorded between 14:00 and 15:00 pm, while visits decreased over the weekend. Most visitors utilized one or two specific spaces, frequently consulting the information desk for inquiries, checking out/returning items, or using the rest area for relaxation. The library stacks were used approximately twice as much as they were avoided. The most frequented subject areas were Philosophy(100), Religion(200), Social Sciences(300), Science(400), Technology(500), and Literature(800), with Literature(800) and Religion(200) displaying the most intersections with other areas. By categorizing users into five clusters based on space utilization patterns, we discerned varying objectives and subject interests, providing insights for future library service enhancements. Moreover, the study underscores the need to address the associated costs and privacy concerns when considering the broader application of AI camera analytics in library settings.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.4
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• pp.25-47
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• 2023

Library collaboration instruction (LCI) is a process in which a classroom teacher and librarian collaborate to co-planning, co-implementation, co-assessment instruction. LCI is being studied and modeled in various dimensions such as the level of collaboration, information activities, and time scheduling. However, there is no integrated model that comprehensively covers teacher and librarian collaboration. The purpose of this study is to propose a schematic integration model for LCI by comparing and analyzing various models in five dimensions (level of collaboration, information activities, collaborative approach, time scheduling, and technological integration). The main results of the integration model for LCI reflected in this study are as follows. First, in terms of the level of collaboration, TLC integration model reflected such as library-based teacher-led instruction, cross-curricular integrated curriculum. Second, in terms of information activities, LCI integration model reflected social and science subjects inquiry activities in addition to the information use process. Third, in terms of collaborative approach, LCI integration model is divided into such as lead-observation instruction and parallel station instruction. Fourth, in terms of time management, LCI integration model took into account the Korean national curriculum and scheduling methods. Fifth, in terms of technology integration, LCI integration model reflected the PICRAT model, modified from the perspective of library collaboration instruction.