• Journal of Fisheries and Marine Sciences Education
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• v.26 no.4
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• pp.736-748
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• 2014

The purpose of the study is to examine various conditions, which are recognized by teachers in the allocation of subject-specialized teachers at elementary schools, into five types of conflicts, in order to offer implications for the operation and allocation of the subject exclusive system henceforth. The study, therefore, categorized the actual allocation process experienced by subject-specialized teachers at elementary schools into five aspects the first is, understanding of students, the second, the ability to teach exclusive subjects, the third, a relationship with students, the fourth, workplace environment at schools, and the fifth, the continuity of subject specialist teachers. Conditions demonstrated in each category are classified into the types that occurred by individual and mutual roles demonstrated through in-depth, where keywords are selected by aspects to suggest conflict conditions. In order to operate the subject exclusive system more efficiently and to boost the effects of positive education, the workplace environment at schools need to be improved urgently, including a variety of training, program development, and financial support. The most vital requirement is to prepare groundwork through mutual understanding and collection of extensive opinions from field teachers based on a consensus that a school is an educational community. The study anticipates that the result could provide a foundation for the preparation of qualitative improvement and development measures for the subject exclusive system at elementary schools.

• Journal of Intelligence and Information Systems
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• v.24 no.1
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• pp.183-203
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• 2018

News articles are the most suitable medium for examining the events occurring at home and abroad. Especially, as the development of information and communication technology has brought various kinds of online news media, the news about the events occurring in society has increased greatly. So automatically summarizing key events from massive amounts of news data will help users to look at many of the events at a glance. In addition, if we build and provide an event network based on the relevance of events, it will be able to greatly help the reader in understanding the current events. In this study, we propose a method for extracting event networks from large news text data. To this end, we first collected Korean political and social articles from March 2016 to March 2017, and integrated the synonyms by leaving only meaningful words through preprocessing using NPMI and Word2Vec. Latent Dirichlet allocation (LDA) topic modeling was used to calculate the subject distribution by date and to find the peak of the subject distribution and to detect the event. A total of 32 topics were extracted from the topic modeling, and the point of occurrence of the event was deduced by looking at the point at which each subject distribution surged. As a result, a total of 85 events were detected, but the final 16 events were filtered and presented using the Gaussian smoothing technique. We also calculated the relevance score between events detected to construct the event network. Using the cosine coefficient between the co-occurred events, we calculated the relevance between the events and connected the events to construct the event network. Finally, we set up the event network by setting each event to each vertex and the relevance score between events to the vertices connecting the vertices. The event network constructed in our methods helped us to sort out major events in the political and social fields in Korea that occurred in the last one year in chronological order and at the same time identify which events are related to certain events. Our approach differs from existing event detection methods in that LDA topic modeling makes it possible to easily analyze large amounts of data and to identify the relevance of events that were difficult to detect in existing event detection. We applied various text mining techniques and Word2vec technique in the text preprocessing to improve the accuracy of the extraction of proper nouns and synthetic nouns, which have been difficult in analyzing existing Korean texts, can be found. In this study, the detection and network configuration techniques of the event have the following advantages in practical application. First, LDA topic modeling, which is unsupervised learning, can easily analyze subject and topic words and distribution from huge amount of data. Also, by using the date information of the collected news articles, it is possible to express the distribution by topic in a time series. Second, we can find out the connection of events in the form of present and summarized form by calculating relevance score and constructing event network by using simultaneous occurrence of topics that are difficult to grasp in existing event detection. It can be seen from the fact that the inter-event relevance-based event network proposed in this study was actually constructed in order of occurrence time. It is also possible to identify what happened as a starting point for a series of events through the event network. The limitation of this study is that the characteristics of LDA topic modeling have different results according to the initial parameters and the number of subjects, and the subject and event name of the analysis result should be given by the subjective judgment of the researcher. Also, since each topic is assumed to be exclusive and independent, it does not take into account the relevance between themes. Subsequent studies need to calculate the relevance between events that are not covered in this study or those that belong to the same subject.

• Journal of International Area Studies (JIAS)
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• v.22 no.2
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• pp.81-110
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• 2018

In this paper, we examined the regional economic integration, the trade negotiation strategy and bargaining power of the European Union through the logical structure of the three - dimensional game theory. In the three - dimensional game theory, the negotiator emphasized that the negotiation strategy of the triple side existed while simultaneously operating the game standing on the boundary of each side game, constrained from each direction or occasionally using the constraint as an opportunity. The study of three-dimensional game theory is aimed at organizing the process of coordinating opinions and meditating interests at the international level, regional level and member level by the regional union as a subject of negotiation. This study would compare and analyze the recently concluded EU-Japan EPA (Economic Partnership Agreement) negotiation process with the case of the EU FTA, and summarize the logic of the three-dimensional game theory applicable to the FTA of the regional economic partnership. Furthermore, the study would illustrate the strategies of the regional economic cooperatives to respond to negotiations. The area of trade policy at the EU level has already been completed by the exclusive power of the Union on areas where it is difficult to politicize with technical features. Moreover, the fact that the policy process at the Union level has not been revealed as a political issue, and that the public opinion process is a double-step approach. In conclusion, the EU's trade policy process constitutes a complicated and sophisticated process with the allocation of authority by various central organizations. The mechanism of negotiation is paradoxically simplified because of the common policy decision process and the structural characteristics of the trade zone, and the bargaining power at the community level is enhanced. As a result, the European Commission would function as a very strong negotiator in bilateral trade negotiations at the international level.