• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.1
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• pp.169-177
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• 2012

The purpose of this study was to examine the awareness of dental hygiene students on the components of the dental hygiene curriculum. The subjects in this study were 934 dental hygiene students, on whom a survey was conducted in April and Jun, 2009. The collected data were analyzed by the statistical package PASW 18.0. The findings of the study were as follows: The students from the midsection of the nation put the highest value on educational objectives, selection of what to teach and evaluation, and the students from the metropolitan area set the lowest value on those components. The students who took junior college courses took a better view of those components than those who took college courses. In terms of the organization of what to teach, the students from the midsection of the nation rated it highest, and the students from the Honam area rated it lowest. And those who took college courses took a little better view of it than the students who took junior college courses. Among the components of the curriculum, the educational objective factor was rated higher in terms of vocational education, morality and ethics, and that was rated lower in terms of creativity. The selection of what to teach was rated higher in terms of learning possibility and was rated lower in terms of content validity and relevance. The organization of what to teach was rated highest in terms of continuity, followed by sequence and integration. The educational evaluation factor was rated higher in the area of school evaluation and was rated lowest in the area of national examinations.

• Journal of Technology Innovation
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• v.20 no.1
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• pp.17-43
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• 2012

Alliance formation has been recognized as an important strategy for firms who seek to survive through acquisition of sustainable competitive advantages. Specifically in high-tech industries, firms may consider formation of strategic alliances in order to access valuable external knowledge. These firms tend to be situated in a dilemma that they should choose between exploration and exploitation, which are two types of strategic choices suggested by March (1991). Working out the dilemma has been extensively discussed in the area of strategy or organization learning. Recently, however, an increasing number of studies have stressed on a balance between exploration and exploitation. Regarded as 'ambidextrous organizations' (Lavie and Rosenkopf, 2006), these firms that simultaneously pursue exploration and exploitation have emerged in high-tech industries, and many studies have provided evidence of positive association between organizational ambidexterity and firm performance. In the strategic alliance research, accordingly, scholars began to pay attention to the balanced choice between exploration-and exploitation-oriented alliances. Given these backgrounds, this study examines the relationship between alliance ambidexterity and firm performance. While previous research approached alliance ambidexterity mainly from the number of alliances, our study suggests ambidexterity in terms of alliance portfolio and alliance partner. Our dataset consists of biotechnology or pharmaceutical firms in the United States, which spans time period between 1990 and 2005. We conduct panel data analysis. The results show the strong link between alliance ambidexterity and firm performance, highlighting the balance between exploration and exploitation when firms make strategic decisions.

• School Mathematics
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• v.13 no.1
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• pp.189-206
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• 2011

This study is to setup a mathematics PBL model that is right for elementary students. PBL models are developed and applied to actual courses and analyzed. So, a specific plan and practical understanding of PBL mathematics textbooks will be presented. But in order for this to happen, first the mathematics PBL model, that can realize 7th revised curriculum's goal, needs to setup and divided into knowledge, skill and attitude domains. Through this study, the general PBL model and the PBL model appropriate for elementary mathematics was amended and supplemented, this was then applied to courses and analyzed, and the below conclusions were realized. First, mathematical idealization stage is needed for mathematical PBL model. Since an elementary student is shortcoming in problem understanding and mathematical activity, a middle step that allows the student to understand the problem situation mathematizing and find a solution mathematically is desperately needed. Therefore, in this study, we named it the mathematical idealization stage and had it setup. Second, a mathematics information collection stage needs to be prepared for a successful PBL. Through this stage, the students will have an opportunity to gather the necessary information needed and restructure it to solve the problem. Third, the organization stage in mathematical PBL model needs to be strengthened. PBL is not just completed, through the best use of mathematics subject matter to solve the problem. Organization time is needed to allow the students to grow to a more deepened and advanced level. In conclusion, there is significance in providing a specific plan for mathematical PBL model, which can be seen through this study on applying and analyzing elementary mathematics and appropriate PBL models.

• Journal of Digital Convergence
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• v.17 no.3
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• pp.139-152
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• 2019

In the fourth industrial revolution and the era of convergence and integration, on the situation that the internal colleges are needed active change included in the improvement of educational quality, I tested it on the purpose of empirical analysis with SPSS v.18 how colleges' efforts on the first periodic Organization Evaluation And Accreditation System(OEAAS) affects on the Perceived Management Performances on the perspective of BSC. As the test result, the Degree of Awareness of Colleges' Efforts on the OEAAS affects on just Colleges' Learning and on Growth. The Degree Propriety of Preparation of the OEAAS affects on Customer Performance, on Internal Process Performance, and, on Finance Performance. And the Degree of Satisfaction of Internal Assessment affects on all of BSC 4 performances. The results of this research could be used on making the management idea of colleges' performance on the OEAAS. In the future, it would be needed advanced researches which are able to make relatedness to the expanse of management performance with the OEAAS.

• Journal of Digital Convergence
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• v.16 no.11
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• pp.221-230
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• 2018

Most of researchers and business futurists agree that traditional organizational designs are inadequate for coping with today's turbulent and increasingly networked world. Executives in small firms find that their organizations must tap into an extended network of partners to achieve the scale and power needed to succeed in industries dominated by large, global firms. As they attempt to build lean yet agile businesses, these executives are finding that they no longer rely on gut instinct alone. Neither can they simply copy organizational model that worked in the past. They must understand how organizational design choices influence operational efficiency and flexibility and, even more important, how to best align the organization with the environment and the strategy chosen to quickly and effectively sense and respond to opportunities and threats This research examines the capabilities required to build businesses that can survive and prosper in today's fast-faced and uncertain environment. The insights presented in this research have emerged from over 30 years of work with hundreds of executives and entrepreneurs as they struggled to build businesses that could cope with the demands of a rapidly changing, networked global economy. The insights from this research suggest that IT is an important enabler for developing the best capabilities required for success.

• Journal of the Korea Convergence Society
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• v.10 no.4
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• pp.165-173
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• 2019

Recently, a variety of programs for elementary school students that utilize play in their curricula are supported. In this study, we are trying to draw up ways to activate play education based on the elements necessary for the play education to be effectively provided on the field and the current operational status. In order to achieve the research goal, nine participants of play experts and parents were selected for the focus group interview (FGI). The FGI consist of five questions: (1) opinions on the establishment and joint operation of the organization to support play and parents' education; (2) opinions based on experience in participating in existing training programs; (3) activation plan of play & education program; (4) competencies required by members of the organization; (5) evaluation of program for quality improvement. Through the FGI survey, we drew ideas for the operation of play & education programs to promote positive growth and support systemic programs of both preschoolers and elementary students. In order for play & education to be active in the field of education, a center where play & education and parents' education can be conducted at the same time should be established and operated so that the education can be integrated with play. Based on these findings, we proposed follow-up research in the direction of achieving specific goals and enhancing the quality of play education.

• Journal of the Society of Disaster Information
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• v.19 no.1
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• pp.195-203
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• 2023

Purpose: This study intends to check validity of tools for awareness of Business Continuity through measurement and analysis on the sub factors of Business Continuity by employees of railway-related organizations. Method: Based on the preceding study, sub factors of the awareness of Business Continuity are divided into 7 and the total of 29 questions were delivered to employees of railway-related organizations for investigation and analysis through the online survey tool. Result: According to EFA result, the number of factors of awareness of Business Continuity based on the theoretical ground was reduced to 7 and the total coefficient of determination was 82.616%. Checking the questions by factor, all the questions were loaded as intended. Conclusion: Validity of measurement tools of Business Continuity whose sub factors are the Context of Organization, Leadership, Planning, Operation, Support, Performance evaluation, and Improvement for railway organizations were secured through the Exploratory Factor Analysis of this study. As for the further tasks, studies on the structural relationship among internalization of business continuity, organization effectiveness, learning support environment, etc are required.

• Journal of Korean Home Economics Education Association
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• v.22 no.3
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• pp.163-188
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• 2010

This study set out to develop and evaluate an educational program for the Clothing Life of Home Economics through the theme-based integrated approach develop integrated thinking abilities for solving everyday problems. For those purposes, it selected a couple of themes in the area of Clothing Life toward which the theme-based integrated approach could be develop and evaluate an educational program. The developed program was applied and assessed in total 28 hours of field lessons given to eighth graders attending B Middle School in Busan Metropolitan City. The analysis stage involved an exploration into programs related to an integrated approach to other subjects; the design stage identification of program types; and the development stage theme selection according to the selection criteria. The previous studies were analyzed along with the Technology and Home Economics textbooks to select a theme. two themes "Clothing Management" and "Fabrics(Materials)" were selected after discussing with the students on the Messenger and with a group of experts. Then content was organized and composed around the themes by discussing connections with other subjects. There were three evaluation; one by experts, another through preliminary lessons, and the other through field lessons. Following the research procedure, a theme-based integrated program was developed for the two selected themes. It contained total 49 and 32 learning materials for "Clothing Management" and "Fabrics(Materials)," respectively. Those learning materials were comprised of experiments and practices according to the nature of the themes. Each program consisted of the goals, learning content, content organization chart, learning activities, and evaluation; learning activities experiences, practice and experiment activities, self-directed activities and problem-solving processes; and evaluations self-evaluation, teacher evaluation, peer evaluation, portfolio, and experiment reports. The program was assessed three times. The first and second evaluation results found that the program was well compatible with the current needs, was properly organized to give lessons through integration with other subjects, and continuously maintained the students' interest. They, however, requested that there should be detailed explanations about each part of the program content. In the third evaluation done by the students during field lessons, 60% of them said that the program was fun and its content was easy to understand, that they realized a theme could be connected to several other subjects, and that the program could be applied to actual life. The educational program through the theme-based integrated approach is significant in that it is an educational program for the area of Clothing Life and tries an integrated approach. It helped the students not only gather knowledge in an integrated manner, but put it to practical uses to solve various problems they faced in actual life by creatively changing integrated knowledge. The study will be hopefully used by many teachers so that the students solve problems based on the ability of integrating various knowledges organically.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.43-61
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• 2019

Development of technologies in artificial intelligence has been rapidly increasing with the Fourth Industrial Revolution, and researches related to AI have been actively conducted in a variety of fields such as autonomous vehicles, natural language processing, and robotics. These researches have been focused on solving cognitive problems such as learning and problem solving related to human intelligence from the 1950s. The field of artificial intelligence has achieved more technological advance than ever, due to recent interest in technology and research on various algorithms. The knowledge-based system is a sub-domain of artificial intelligence, and it aims to enable artificial intelligence agents to make decisions by using machine-readable and processible knowledge constructed from complex and informal human knowledge and rules in various fields. A knowledge base is used to optimize information collection, organization, and retrieval, and recently it is used with statistical artificial intelligence such as machine learning. Recently, the purpose of the knowledge base is to express, publish, and share knowledge on the web by describing and connecting web resources such as pages and data. These knowledge bases are used for intelligent processing in various fields of artificial intelligence such as question answering system of the smart speaker. However, building a useful knowledge base is a time-consuming task and still requires a lot of effort of the experts. In recent years, many kinds of research and technologies of knowledge based artificial intelligence use DBpedia that is one of the biggest knowledge base aiming to extract structured content from the various information of Wikipedia. DBpedia contains various information extracted from Wikipedia such as a title, categories, and links, but the most useful knowledge is from infobox of Wikipedia that presents a summary of some unifying aspect created by users. These knowledge are created by the mapping rule between infobox structures and DBpedia ontology schema defined in DBpedia Extraction Framework. In this way, DBpedia can expect high reliability in terms of accuracy of knowledge by using the method of generating knowledge from semi-structured infobox data created by users. However, since only about 50% of all wiki pages contain infobox in Korean Wikipedia, DBpedia has limitations in term of knowledge scalability. This paper proposes a method to extract knowledge from text documents according to the ontology schema using machine learning. In order to demonstrate the appropriateness of this method, we explain a knowledge extraction model according to the DBpedia ontology schema by learning Wikipedia infoboxes. Our knowledge extraction model consists of three steps, document classification as ontology classes, proper sentence classification to extract triples, and value selection and transformation into RDF triple structure. The structure of Wikipedia infobox are defined as infobox templates that provide standardized information across related articles, and DBpedia ontology schema can be mapped these infobox templates. Based on these mapping relations, we classify the input document according to infobox categories which means ontology classes. After determining the classification of the input document, we classify the appropriate sentence according to attributes belonging to the classification. Finally, we extract knowledge from sentences that are classified as appropriate, and we convert knowledge into a form of triples. In order to train models, we generated training data set from Wikipedia dump using a method to add BIO tags to sentences, so we trained about 200 classes and about 2,500 relations for extracting knowledge. Furthermore, we evaluated comparative experiments of CRF and Bi-LSTM-CRF for the knowledge extraction process. Through this proposed process, it is possible to utilize structured knowledge by extracting knowledge according to the ontology schema from text documents. In addition, this methodology can significantly reduce the effort of the experts to construct instances according to the ontology schema.

• Journal of The Korean Society of Grassland and Forage Science
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• v.42 no.2
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• pp.127-136
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• 2022

This study was conducted to estimate the damage of Whole Crop Maize (WCM) according to abnormal climate using machine learning and present the damage through mapping. The collected WCM data was 3,232. The climate data was collected from the Korea Meteorological Administration's meteorological data open portal. Deep Crossing is used for the machine learning model. The damage was calculated using climate data from the Automated Synoptic Observing System (95 sites) by machine learning. The damage was calculated by difference between the Dry matter yield (DMY)_normal and DMY_abnormal. The normal climate was set as the 40-year of climate data according to the year of WCM data (1978~2017). The level of abnormal climate was set as a multiple of the standard deviation applying the World Meteorological Organization(WMO) standard. The DMY_normal was ranged from 13,845~19,347 kg/ha. The damage of WCM was differed according to region and level of abnormal climate and ranged from -305 to 310, -54 to 89, and -610 to 813 kg/ha bnormal temperature, precipitation, and wind speed, respectively. The maximum damage was 310 kg/ha when the abnormal temperature was +2 level (+1.42 ℃), 89 kg/ha when the abnormal precipitation was -2 level (-0.12 mm) and 813 kg/ha when the abnormal wind speed was -2 level (-1.60 m/s). The damage calculated through the WMO method was presented as an mapping using QGIS. When calculating the damage of WCM due to abnormal climate, there was some blank area because there was no data. In order to calculate the damage of blank area, it would be possible to use the automatic weather system (AWS), which provides data from more sites than the automated synoptic observing system (ASOS).