• 한국초등과학교육학회지:초등과학교육
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• 제35권1호
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• pp.123-135
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• 2016

Interest is one of the important factors in science education. The purpose of this study was to investigate factors affecting the follow-up interest of elementary school students on topics of 'Small Organisms' World'. The follow-up interests of the students on the topic were grouped into three categories; the developed-expanded-deepened (EDD), the simply expanded and maintained (SEM), and the stoped or decreased (SD) types. Each types had specific distinguishing features. Through the examination of students' responses and the in-depth interviews, the factors affecting on the follow-up interests of the students were analyzed. The factors were classified into two types of the external factor and the internal one. While the external factors were mainly related to the instructional materials used in science class and teaching methods, the internal factors were related to the desire for knowing, prior knowledge, students' experience and attitude toward the topics of science. In relation to the types of the follow-up interests, these factors were affected by different causes. The EDD type was most affected by internal factors, such as desire for knowing and prior knowledge. The SEM type was shown to be most affected by external factors, such as instructional materials. The SD type was mainly influenced by external factors, such as teaching methods. From the analysis of internal factors, it was revealed that the attitude and the prior knowledge about the topic are related with the follow-up interests. There was a positive relationship between the levels of science attitude and science knowledge. The students who had EDD type had a higher level of attitude and knowledge. However, there were some students who had higher level of scientific knowledge with SD type. The results of in-depth interviews showed that they were influenced by negative perceptions about science and stress on their grades. In conclusion, each follow-up interest type were caused by the external factors contained in the processes of the science class and the internal ones associated with the individual features and were influenced by the science class. So, the teacher should help the students be able to have the EDD type of follow-up interest which is persisted even after the completion of the science curriculum. For this, when the teachers design science curriculum and plan lesson, they should consider both internal and external factors significantly influencing the students' follow-up interests.

• 한국디지털정책학회:학술대회논문집
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• 한국디지털정책학회 2006년도 추계학술대회
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• pp.355-366
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• 2006

Knowledge sharing is an essential component of effective knowledge management, however, individuals' knowledge does nottransform easiIy into organizational knowledge even with the implementation of knowledge management program, rather , individuals tend to hoard knowledge for various reasons. this article is to explore what factors have influenced the knowledge sharing intent ion and knowledge sharing mechanism. Althoughseveral factors have been identified to help create a high performing knowledge organization, including leadershlp, organizational culture and so on, the major objective of the research. is to explore what kinds of individuals' factors have influence on knowledge sharing intent ion and knowledge sharing mechanism by knowledge types. This paper applied personality trait ability, extrinsic motivation, intrinsic motivation structure to explain knowledge sharing in organization.

• 지식경영연구
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• 제1권1호
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• pp.91-107
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• 2000

This paper proposes the Organizational Knowledge Discovery Process Model (OK-DPM) as an initiative for developing a knowledge management methodology. OK-DPM is a model designed to effectively discover knowledge useful to the organization. It explains the knowledge discovery process from the conceptual level to the application level. It decomposes the organizational knowledge discovery process into 3 sub-processes; Creation, Suggestion and Validation. For each sub-process, design components are identified and possible methods for supporting each one are suggested. Also, the relationship patterns between the knowledge discovery process and knowledge type are explored. By applying OK-DPM to two real cases where the knowledge management projects are ongoing, the model was validated and revised. Even though we need to investigate with more cases to refine the OK-DPM, we found that it could provide some insights in developing the effective knowledge discovery process.

• 성인간호학회지
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• 제18권1호
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• pp.81-91
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• 2006

Purpose: The purpose of this study was to investigate foot ulcer risk factors, foot care knowledge, and foot care practice in patients with type 2 diabetes. Method: One hundred fifty type 2 diabetic patients were in and out-patients in a large urban hospital. The data were collected using a self-report questionnaire, chart review and foot examination. The questionnaires were developed by the researchers through the experts consultation and literature review. High risk for foot ulcer was evaluated by peripheral neuropathy(PN), peripheral vascular disease(PVD), and prior foot ulcer. Foot risk scores(FRS) means numbers of present risk factors. Results: 31.3% of subjects show 1 FRS, and 13.3% showed 2 FRS. Mean foot care frequency was 3.5 times per week. There were significant differences in foot care knowledge according to DM education (t=2.96, p=.004) and foot care education (t=3.65, p=.001). There were significant differences in the foot care practice activities according to duration of DM (t=3.48, p=.010) and educational levels. Conclusion: There were high proportion of foot ulcer risk among the patients. It is necessary to screen high risk foot ulcer patients and provide practical education for foot care practice of diabetic patients.

• Journal of Information Science Theory and Practice
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• 제9권4호
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• pp.35-49
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• 2021

In a situation where there are multiple diverse datasets, it is essential to have an efficient method to provide users with the datasets they require. To address this suggestion, necessary datasets should be selected on the basis of the relationships between the datasets. In particular, in order to discover the necessary datasets for disaster resolution, we need to consider the disaster resolution stage. In this paper, in order to provide the necessary datasets for each stage of disaster resolution, we constructed a disaster type and disaster management process ontology and designed a method to determine the necessary datasets for each disaster type and disaster management process step. In addition, we introduce a method to determine relationships between datasets necessary for disaster response. We propose a method for discovering datasets based on minimal relationships such as "isA," "sameAs," and "subclassOf." To discover suitable datasets, we designed a knowledge exploration model and collected 651 disaster-related datasets for improving our method. These datasets were categorized by disaster type from the perspective of disaster management. Categorizing actual datasets into disaster types and disaster management types allows a single dataset to be classified as multiple types in both categories. We built a knowledge exploration model on the basis of disaster examples to ensure the configuration of our model.

• 기본간호학회지
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• 제14권3호
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• pp.323-330
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• 2007

Purpose: The purpose of this study was to assess the difference in knowledge and learning needs of the coronary artery disease according to the general characteristics of the patients with type 2 diabetes mellitus. Method: The participants were 188 patients who had diabetes mellitus. Data were obtained between January and April 2006 by asking the knowledge and learning needs of the coronary artery disease. Data were analyzed using SAS program. Results: Participants' knowledge level was high in the cause and prevention, but the level was low in the symptom and occurrence of pain. Learning need for "Influence of smoking on heart disease" and "The structure and functions of the heart" was great, but learning need for "Complete diagnosis" and "Management of pain and pressure on the sternum" was little. No significant differences were found in the knowledge level of the coronary artery disease according to the general characteristics. Learning needs were greater in participants under 60 years of age (p=0.011) and in those with low education level (p=0.049). There was a significant correlation between knowledge and learning needs of the coronary artery disease (p=0.003). Conclusion: In planing the education programs, the general characteristics of the patients should be considered.

• Journal of Welding and Joining
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• 제10권4호
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• pp.199-212
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• 1992

Expert system is a practical application part of the artificial intelligence and can be generally described as a computer-based system designed to simulate the knowledge and reasoning of a human expert, and to make that knowledge conveniently available to other people in a useful way. Expert systems consist of three major components, knowledge base, inference engine and user interface. In this paper, it is aimed to construct a prototype system to design the horizontal-typed pressure vessel. To do this, a representative artificial programming language, Turbo Prolog, was employed, and the knowledge representation was mainly done by the production rule such as "If(condition), than (action)" style and by the predicate logic. In the developed system, it was quite easy to represent the knowledge of "If(condition), then (action)"style and by the predicate logic. In the developed system, it was quite easy to represent the knowledge of "If(condition). then(action)" style and the various table-like data. It was also effective to represent the graphics. Though this expert system is by now small and incomplete, it is possible to expand it to a larger and refined system later.rger and refined system later.

• 대한산업공학회지
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• 제23권1호
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• pp.197-213
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• 1997

It is not easy to find a good production schedule which can be used in practice. Therefore, production scheduling simulation with a simple dispatching rule or a set of dispatching rules is used. However, a simple dispatching rule may not create a robust schedule, for the same rule is blindly applied to all internal production processes. The presumption is that there might be a specific combination of appropriate rules that can improve the efficiency of a total production system for a certain type of orders. In order to acquire a better set of dispatching rules, simulation is used to examine the performance of various combinations of dispatching rule sets. There are innumerable combination of rule sets. Hence it takes too much computer simulation time to find a robust set of dispatching rule for a specific production system. Therefore, we propose a concept of the knowledge based simulation to circumvent the problem. The knowledge based simulation consists of knowledge bases, an inference engine and a simulator. The knowledge base is made of rule sets that is extracted from both simulation and human intuition obtained by the simulation studies. For a certain type of orders, the proposed system provides several sets of dispatching rules that are expected to generate better results. Then the scheduler tries to find the best by simulating all proposed set of rules with the simulator. The knowledge-based simulator armed with the acquired knowledge has produced improved solutions in terms of time and scheduling performance.

• 한국지역사회생활과학회지
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• 제14권2호
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• pp.93-106
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• 2003

The main purpose of this research was to study and analyze the actual utilization of traditional knowledge resources and to search for methods to activate local communities through utilization of traditional knowledge resources best suited for us. For this study, data listed on the internal web sites during August 2002 to October 2002 were searched and analyzed. In terms of statistical analysis, frequency, percentage, and x$^2$-test were operated using the SPSS 10.0 program. The major results of this study are as follows: 1) Traditional knowledge resources utilized throughout the nation totaled to 8,906 cases. These utilized resources composed of 48.0% of tangible resources, 32.3% of environmental resources, and 19.8% of intangible resources and such utilized resources were in order of life-skill, scenery, ruins and relics, community activity, exhibition, and folklores. 2) Tourism, merchandising, and festival were the major types of utilization of traditional knowledge resources, while education was the relatively minor portion in utilization type. 3) Compound linking of traditional knowledge resources, utilization type, and utilizing body showed links such as life skill-merchandising-civilian, ruins and relics-tourism-government, folklore-festival-civilian, scenery-tourism-government, and exhibition-education-civilian.

• 한국정보시스템학회지:정보시스템연구
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• 제17권4호
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• pp.181-206
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• 2008

This study aims to investigate the impacts of managerial and technical IT knowledges on firm's financial performance. Specifically, the study examines the following three effects between IT personnel knowledges and financial performance: (1) direct effect, (2) mediating effect of business process performance, and (3) moderating effect of firm size, between them. An empirical study resulted in the followings. First, both managerial and technical IT knowledges do not have direct influences on financial performance. Second, unlike technical IT knowledge, managerial IT knowledge indirectly affects financial performance through business process performance, confirming the mediating role of business process performance. Third, while technical IT knowledge produce no direct and indirect effect on financial performance regardless of firm size, managerial IT knowledge exerts significant impacts on financial performance although such effects represent some different patterns according to firm size. That is, in the smaller group, the association between managerial IT knowledge and financial performance is partially mediated by business process performance and in the larger group, that relationship fully mediated.