• Korean Journal of Comparative Education
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• v.28 no.3
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• pp.135-159
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• 2018

This thesis compares and analyzes the dynamics between policy, knowledge and power of Myanmar's higher education development. The papers begins by exploring the dynamics during the Socialist Military Regime(1962~1988), the Collapse of Higher Education Era(1988~2010), Thein Sein's Reform Era(2010~2015) and the current Aung San Suu Kyi's Civilian Era(2015~Now). By highlighting recent dramatic policy changes, the article argues that the policy discourse on the subject of internationalization of higher education and the technocratization of education development policy by the current Civilian Government in its new policy discourse, that resulted in the active participation as well as the contributions of international donors has directly impacted on the policy dynamics around the Comprehensive Education Sector Review and the introduction of the National Education Strategic Plan 2016~2020. Further, by examining complex interaction between the current domestic education stakeholders and international donors in education sector in Myanmar, this thesis argues that the new analytical framework on the understanding of policy dynamics in developing countries goes beyond the national level. The paper argues that there needs to be broadening of the analytical framework towards the multidimensional analysis perspective that includes global, national as well as local level policy, knowledge and power dynamics in Myanmar's dynamically changing higher education sector.

• The Journal of the Korea Contents Association
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• v.15 no.7
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• pp.157-169
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• 2015

This study focuses on Korea films of historical communication. Narrative analysis was conducted on the films in 2000s including , and <26 Years> that mainly have dealt with the 'Gwangju Democratization Movement'. As a result of the syntagmatic analysis, these films try to stabilize 'social imbalances' in the aspect of individuals and conceals issues of social structure. In addition, the result of paradigmatic analysis reveals that textual factors of 'active involvement of female characters', 'continuity of history through the survivors' demonstrate its strategies to publicize the historical truth. Consequently these films show its limitations that weakens historical meaning by placing unsolved problems of social structure as well as the love story. But rather than describing it as a history of the past, these films act as a catalyst to bring thins specific historical issue to our present lives and publicize it as a current issue. Therefore, the historical film not only allows current generation to remind to history but also to provide an opportunity to publicize the important issues of social structure in the present society.

• The Journal of the Korea Contents Association
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• v.16 no.11
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• pp.253-263
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• 2016

We analyzed the social issue 'image of the elderly' using Big Data and Social Network Analysis. First, we analyzed the words extracted by the text mining technique by inputting the keyword 'elderly'. As a result of analysis, the image of the elderly viewed through media such as cafes, blogs, etc. Representing the trend of the public was using the word 'Senior' the most. The image of the elderly is expressed using the word having the highest frequency in the top 10, "The elderly are 'Senior' people who are respected by society, they are organized to earn money, to earn their qualifications, to health, and to 'Seniors' who desire to work healthy up to 100 years old". The purpose of this study is to differentiate from the existing analysis method by analyzing the macro-level image of the elderly including the social discourse by collecting vast amount of data and analyzing it with the social networking technique. When the image of the elderly that the public perceives is positively expressed as 'Senior', it can be said that the direction of the current elderly policy is evaluated as a desirable direction. On the other hand, it was able to feel the 'desire' of the public who wanted to be evaluated. Therefore, the policy direction of the elderly to be applied in the future should be the policy that enables the elderly to be perceived as 'Necessary existence' in society by taking on social roles. In addition, we proposed to implement the policy of the elderly that reflects priorities such as job creation, welfare, and alienation that can activity and maintain health.

• The Journal of the Korea Contents Association
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• v.14 no.12
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• pp.607-617
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• 2014

This article aims to explain some academic subjects based on the film, and accordingly investigate how they are to be converged and then educate individuals. The reasons why should be chosen as a text are as follows: this film is said to be fictional, but based on historical fact. Then, it attracts national attention. Third, it induces the spectators to judge the value of conscience, law, and morals, through the trial process, for themselves and leads them to raise the awareness of the historical, and political conditions at the time. Last, but not least, it contributes to the discourse on various type of men in contemporary days, by dint of analysis on the main characters. The results of the research are listed below: most of all, literature education(Korean language) could be proceeded with the help of epic analysis on . Secondly, considering the film develops the story using political allegory as discussion, along with the historic situation in those days, learning on history and politics could be made possible. Third, the film could be undoubtedly used to conduct the education of law and morality, forming the argument on required law and morals corresponding with ideological circumstance. Finally, education on film analysis could be conducted, by means of examination of the main characters. The analysis on the major characters helps to teach what it would be like for people to become the right ones, by both representing the members of society and determining the quality of life and relationship.

• Korean Association of Arts Management
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• no.59
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• pp.5-31
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• 2021

The purpose of this study is to analyze social perceptions and discourses about creating arts in the era of artificial intelligence with making an implication of responding to the emergence of artificial intelligence. We conceptually understand the principles and limitations of creating visual arts using artificial intelligence whilst this paper addresses ai art in the social context by borrowing the theoretical lens from the sociology of arts. This article considers 472 newspapers about artificial intelligence art as the main data, which are interpreted through semantic network analysis. The analysis of this research shows that it is a controversial issue regarding who/which creates the artworks between humans and computers. However, judging from the dominant influence of a group of words representing the recognition of intellectual property rights, we have detected that social awareness is formed around the perspective of considering artificial intelligence creates visual arts rather than artists. In addition, based on the close relationship between the cluster and the cluster reflecting institutional support, we confirm that the discourse about artificial intelligence art is limited to technological development and legal system maintenance. Thus, this study suggests the need for defining artificial intelligence as the medium of art and constructing policy discourses on artificial intelligence art as an artistic genre.

• Journal of Industrial Convergence
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• v.22 no.1
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• pp.1-20
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• 2024

Regarding the discourse on the correlation between governmental financial support and firm performance, much emphasis has been placed on the role of individual corporate characteristics as well as spatial features. However, there is a notable scarcity of empirical research examining the integrated impact of corporate and cluster characteristics on managerial performance. This study addresses this gap by empirically analyzing the financial and non-financial outcomes resulting from specific allocations of governmental financial support. Additionally, it explores corporate and cluster characteristics predicted to moderate the influence between governmental financial support and firm performance. The analysis employs a two-level hierarchical linear model (HLM) at individual and group levels. The data, reorganized based on business registration numbers at the firm and cluster levels, ultimately utilized panel data from 83,395 firms and 641 clusters. The research findings indicate that governmental financial support demonstrates a positive effect (+) on both sales and patents for firms, suggesting its effectiveness in complementing market failures. Results from the hierarchical linear model analysis show that when combined with human capital capacity, absorptive capacity, and cluster network density, governmental financial support exhibits significant positive effects on sales. This study contributes theoretical and practical insights by analyzing the relationship between governmental financial support and firm performance using a two-level hierarchical linear model. It highlights the role of corporate characteristics such as human capital and absorptive capacity, along with cluster characteristics like cluster network density, in moderating the effects of governmental financial support on firm performance.

• Asian Journal for Public Opinion Research
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• v.8 no.3
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• pp.393-406
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• 2020

The discourse on the lockdown in Indonesia is getting stronger due to the increasing number of positive cases of the coronavirus and the death rate. As of August 12, 2020, the confirmed number of COVID-19 cases in Indonesia reached 130,718. There were 85,798 victims who have recovered and 5,903 who have died. Data show a significant increase in cases of COVID-19 every day. For this reason, there needs to be an evaluation of the government policy of the Republic of Indonesia in dealing with the COVID-19 pandemic in Indonesia. An evaluation of policies for handling the pandemic must include public opinion to determine any weaknesses of this policy. The development of public opinion about the lockdown policy can be understood through social media. During the COVID-19 pandemic, measuring public opinion through traditional methods (surveys) was difficult. For this reason, we utilized big data on social media as research data. The main purpose of this study is to understand public opinion on the lockdown policy in overcoming the COVID-19 pandemic in Indonesia. The things observed included: volume of Twitter users, top influencers, top tweets, and communication networks between Twitter users. For the methodological development of future public opinion research, the researchers outline the obstacles faced in researching public opinion based on big data from Twitter. The research results show that the lockdown policy is an interesting issue, as evidenced by the number of active users (79,502) forming 133,209 networks. Posts about the lockdown on Twitter continued to increase after the implementation of the lockdown policy on April 10, 2020. The lockdown policy has caused various reactions, seen from the word analysis showing 14.8% positive sentiment, 17.5% negative, and 67.67% non-categorized words. Sources of information who have played the roles of top influencers regarding the lockdown policy include: Jokowi (the president of the Republic of Indonesia), online media, television media, government departments, and governors. Based on the analysis of the network structure, it shows that Jokowi has a central role in controlling the lockdown policy. Several challenges were found in this study: 1) choosing keywords for downloading data, 2) categorizing words containing public opinion sentiment, and 3) determining the sample size.

• Journal of The Korean Association For Science Education
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• v.24 no.3
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• pp.565-582
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• 2004

The purpose of this study was to explore the elements of teaching behavior and classify instructional types through the teacher's classroom observation in elementary school science classrooms. 18 elementary school teachers were selected at Seoul city and Kyungkido. The topic of lesson was 'How the weight of object is changed according to the shape to sink in the water'. Each class was recorded and analyzed that. The teaching behavior elements were used inductional analysis method. The instruction types were classified into instructional organization, teaching strategies in teaching-learning processes, the level of openness of inquiry at science classroom. The validity and reliability of the data were analyzed by 7 science educators. The results of the analysis of the teachers discourse showed that there are 23 types of teaching behavior elements. Used teaching behavior elements revealed the differences from each teacher. There were 7 types among the 12 types of class and the most common types of instruction were unsystematic, teacher-centered, and guided-inquiry. The result showed that guided inquiry type was found more than open inquiry type and teacher-centered instructional, content-centered instructional, superficial inquiry process showed characteristic.

• Journal of the Korean Institute of Landscape Architecture
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• v.42 no.3
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• pp.76-89
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• 2014

The functions of urban park including health related benefit and climate adaptation and mitigation are expanding. However, in-depth research and discourse on the equitable distribution of expanded park function has been limited so far. Following research suggests Green Welfare concept to reflect distributive equity and multifunctionality in the process of urban park policy development and execution. This study developed park welfare indices to analyze disparities of neighborhood urban park(NUP) distribution viewed from green welfare by literature review. The findings analyzed through the Correlation Analysis and Cluster Analysis by SPSS 18.0. The results of the study are as follows. First, green welfare is defined as "to receive equitable benefits and participate in the delivery process of green services which are promoting health and securing safety from climate change risks for every citizen by life cycle regardless of socioeconomic status". Second, NUP per person in Seoul indicate meaningful differences by socioeconomic and environmental status of Seoul administrative districts. Park welfare indices correlated to NUP per person were shown population density(negative), percentage of individuals $aged{\geq}65$(positive), percentage of self-reliance of local finance(positive), flood and air pollution vulnerability by climate change(negative). Third, the cluster analysis identifies three significant clusters that indicate differences of park welfare level. Thus, it was found that NUP in Seoul from a green welfare perspective was provided disproportionately. Future urban park policy in Seoul was required equitable distribution of multifunctionality of park beyond quantitative expansion, and priority consideration should be given to park service consumer.