• Journal of Korean Elementary Science Education
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• v.29 no.1
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• pp.56-68
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• 2010

The purpose of this study was to investigate the elementary school teachers' perceptions about the science subject exclusive system. For this study, we developed the questionnaire to investigate teachers' perceptions and 43 elementary school teachers participated in the questionnaire test. And we used participation observation method to investigate characteristics the exclusive elementary science teacher and the elementary school homeroom teacher's science classes. After participation observation, we had interviews with exclusive elementary school science teacher and elementary school homeroom teacher. The results showed that elementary school teachers thought the science subject exclusive system was very necessary. And elementary school teachers thought that the exclusive elementary science teacher had higher professionality about teaching science subject than the homeroom teacher. Then, they expected that the strong points of science subject exclusive system would be some solution to the weak points of homeroom teachers' science classes. We suggested that it must be to enlarge the science subject exclusive system and develope in-service teacher program for the exclusive elementary science teachers.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.27 no.3
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• pp.5-23
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• 2016

The aim of this study is to analyze the effect and limitation of teacher librarians' self-reported appraisals and suggest it's activation plans about school library based instruction (SLBI). According to results of analyses, the SLBI begin with subject teachers' demand for learning materials and teacher librarians play their educational role in Information search & access and representation & synthesis of information during the instruction. Compared with previous studies, the limitations of SLBI we can see in this study are restricted role of teacher librarians, exclusive attitude and antipathy to classroom opening of subject teachers under the SLBI. The bars of promoting the SLBI are also the difficulty of collaborative working with several same subject teachers and subject classroom system. The ways of activating the SLBI suggested in their self-reported appraisals are building intimacy with subject teachers and participating actively curriculum council, peer-supervision and demonstration classes.

• Journal of Environmental Science International
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• v.11 no.6
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• pp.463-470
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• 2002

Environmental protection and precaution are the most frequently considered issues in the recent research fields for our present and future surroundings. However, it seems that these environmental issues were less reflected in local-level development plans, and caused several cases of environmental pollution, therefore it became a major concern of local governments and the communities. The role of a 'Local EIA(Environment Impact Assessment)' can be a core issue for the positive preferences of the local-level development plans. Cases of Local EIA in Germany which have been implied successfully are reviewed to generate a local EIA movement and to produce a guideline for Korean local governments. The local EIA in Germany was broadly commenced in the middle of 1980s, and a decade later it was carried out for over 200 of local governments. To produce a better suggestion for Korean local EIA, comparison and analysis of detail data of the German local EIA was carried out, and tested for fourteen cities in Korea based on five categories: i) assessment subject, ii) assessment procedure, iii) main office for assessment, iv) assessment factor and v) assessment standard. Prior suggestions for greater preference of local EIA in Korea are: it is necessary that I) launch of a support system in central government to help the movement of local government; Ⅱ) a knowledge-based expert group in local government which has by all means of exclusive responsibility far any action(new application or performance of local EIA) : 111) establishment of 'environmental protection measure' in local government level for environmental precaution based on individual environmental character and values in their communities.

• Journal of the Korean Society for Library and Information Science
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• v.44 no.4
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• pp.435-456
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• 2010

This research compares and analyzes the legal deposit of national online electronic publishing and related laws that were recently amended in order to preserve the exponentially increasing number of electronic books(e-books). Based on the analysis, it also seeks ways to initiate a legal deposit system of e-books in South Korea. The research, therefore, defines the exact range and types of e-books. This research proposes three conditions to introduce the legal deposit system in order to preserve South Korean e-books. The first is to establish a clear definition and classification of e-books as data subject to legal deposit for preservation purposes. The second condition is to establish a legal system in order to deposit and collect network(online-exclusive) type e-books. The final condition is to reflect the opinion of publishers and to create security measures against any loss of the companies.

• 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.