• Communications of Mathematical Education
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• v.32 no.4
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• pp.455-475
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• 2018

The purpose of this study is to investigate characteristics of pre-service teachers' cognition about learning through the use of technology by employing a teacher education program in the use of technology-friendly flipped classroom. For this purpose, 45 pre-service teachers participated in the study and they completed both pre- and post-surveys including questions about Technology Adopter Category Index(TACI) and Technological Pedagogical Content Knowledge(TPACK). They were also asked to write self-reflections on mathematics softwares(Geometer's Sketch Pad(GSP), Geogebra, Cabri 3D). Results show that the teacher education program in the use of technology-friendly flipped classroom affected pre-service teachers' cognitions of TACI and TPACK, and they perceived that technology integration helped students' mathematics learning process. Findings from this study indicate that ideas about how to develop a technology-friendly teacher education program are more specified..

• Asia-Pacific Journal of Business
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• v.14 no.4
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• pp.319-330
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• 2023

Purpose - The purpose of this paper is to examine the connectedness between categorical economic policy uncertainty (monetary, fiscal, trade and foreign exchange policy uncertainty) indexes and option-implied volatility index in Korea, Japan and the US. Design/methodology/approach - This paper employs the Diebold-Ylmaz (2012) model based on a VAR and generalized forecast error variance decomposition. This paper also conducts regression analyses to investigate whether the volatility indexes are explained by categorical policy uncertainty indexes. Findings - First, we find the total connectedness is stronger in Korea and Japan relative to the US. Second, monetary, fiscal, and foreign exchange policy uncertainty indexes are connected to each other but trade policy uncertainty index is not. Third, the volatility index in Japan and the US is mainly associated with monetary policy uncertainty while the volatility index in Korea is explained by fiscal policy uncertainty index. Research implications or Originality - To our knowledge, this is the first study to investigate the connectedness among categorical policy uncertainty indexes and the volatility index in Korea, Japan, and the US. The empirical results on the connectedness suggest that transparent policy and communication with the market in one type of policy would reduce the uncertainty in other policies.

• Child Health Nursing Research
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• v.17 no.4
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• pp.222-229
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• 2011

Purpose: This study was conducted to determine the predictors of cultural sensitivity for nursing students in Korea. Methods: The participants in this study were 332 nursing students. Data collection was conducted through the use of questionnaires which were constructed to include a Cultural Sensitivity Scale, Knowledge of Culture, Interpersonal Reaction Index, and Self-efficacy Scale. Results: Results showed that cultural sensitivity of nursing students was middle range. Knowledge level of culture was very low. There was a significant positive correlation between cultural sensitivity and knowledge of culture, empathy, and self-efficacy. The significant factors influencing cultural sensitivity of nursing students were empathy, self-efficacy, experience of an overseas trip and awareness of cultural education. These four factors explained 23.8% of the variance in cultural sensitivity of nursing students. Conclusion: These results indicate that cultural sensitivity is an important link with empathy and self-efficacy in nursing students. For nursing students to enhance cultural sensitivity, a transcultural nursing curriculum needs to develop for appropriate and effective services in cross-cultural situations of the multicultural families in Korea.

• Korean Journal of Adult Nursing
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• v.24 no.3
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• pp.244-252
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• 2012

Purpose: The purpose of the study was to develop a knowledge scale of risk factors for fall among community-dwelling older adults. Further, the validity and reliability of the scale was developed. Methods: A preliminary scale was developed through content validity by five experts and targeted subjects using the CVI (Content Validity Index). Following the establishment of content validity, the scale was used with 359 community-dwelling older adults to further establish both validity and reliability of the scale. Specifically, construct validity using known-group comparison technique, and reliability using Cronbach's ${\alpha}$ were established. Results: After content validity testing, 44 preliminary items were selected. Construct validity was established by known group-comparison, in which scores between the fall and no fall groups were compared. The Cronbach's ${\alpha}$ of the final scale was .83. Conclusion: Reliability and validity of the scale were confirmed. This tool may be used for measuring knowledge of fall risk factor for the community-dwelling older adults.

• International Journal of Contents
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• v.6 no.3
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• pp.1-4
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• 2010

The national management and retrieval service of the national scholar Content DB are very important. High quality content can improve the user's utilization and satisfaction and be a strong base for both the citation index creation and the calculation of journal impact factors. Therefore, the system is necessary to check data quality effectively. We have closely studied and developed a webbased data quality checking system that will support anything from raw digital data to its automatic validation as well as hands-on validation, all of which will be discussed in this paper.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 1999.10c
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• pp.245-251
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• 1999

In this study, by using the natural language processing of the field artificial intelligence, automated index was performed . And then, the Natural Language Processor for Constructing Database (NALPDB) has been developed. Furthermore, the Design knowldege Information Relational DataBase (DIREDB) has been also developed, which is designed to interlock the knowledge base. DIREDB processes both the documented design-data , like a concrete standard specification, and the design knowledge frrom an expert. DIREDB is also simulates the design space of structures accordance with the production rule, and thus it is determined that DIREDB can be used as a engine to retrieve new knowledge and to implement knowldege base that is necessary to the development of automatic design system.

• Journal of Korea Technology Innovation Society
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• v.8 no.3
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• pp.986-1004
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• 2005

In knowledge-based economy, a nation's knowledge resources are critical factors for its competitiveness with other nations. This study analyze the quantitative and qualitative share of ISI publication of Korea as the level of knowledge resource by using the SCI database. This paper uses RCI(Relative Citation Impact) index for the qualitative analysis. The result shows that Korea's qualitative share of ISI publication measured by citation is relatively small than the quantitative share meaured by number of papers. In research field, natural sciences and medical sciences are relatively weak than engineering and agriculture.

• Korean Journal of Health Education and Promotion
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• v.21 no.1
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• pp.69-84
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• 2004

This study was conducted to identify actual dental care status, levels of knowledge, attitudes, and behaviors about dental health, and dental health conditions in elementary students; and examine the relationships between the levels of knowledge, attitudes, behaviors, and dental health conditions for 427 students in their sixth grades from six elementary schools in Pusan area from November 1st to December 5th, 2002. The data was collected through a structured study questionnaire and through dental checkups by dentists and was analyzed into frequency, percentage, mean, standard deviation, t-test, one-way ANOVA and Pearson's correlation analysis using SPSS program. The main results of this study were summarized as follows： 1) The levels of knowledge, attitudes, behaviors about dental health was found to be high as mean score 18.75 points (64.7％) in knowledge, 17.86 points (59.5％) in attitudes, and 31.64 points (67.3％) in behaviors. Therefore they were found to care a lot about their dental health. The indices of dental health conditions were found to be low as mean score 0.87 pieces (3.1％) of treated teeth, 1.27 pieces (4.5％) of teeth to be treated, 7.64％ of the DMFT rate and 0.43 points (7.2％) of the simplified oral hygiene index. Therefore their condition of dental health was found to be very clean. 2) The relationships among the knowledge, attitudes, and behaviors about dental health showed a weak level of positive correlations. Among the conditions of dental health, treated teeth and the DMFT rate showed a moderate level of positive correlation； and treated teeth and the simplified oral hygiene index showed weak level of positive correlation. 3) The condition of dental health of the subjects of this study was found to be good and dental care was properly done when there was participation of parents and school health educators in dental care. It tells us that dental education is required not only for children but also for their parents. As there were significant correlations between knowledge, attitudes, and behaviors about children's dental heath, school health educators should encourage students to have continuous dental care habits for lifelong dental health with repetitive education, rather than to deliver simple knowledge to students during dental health education.

• Journal of Information Processing Systems
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• v.15 no.6
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• pp.1326-1334
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• 2019

Knowledge base means a library stored in computer system providing useful information or appropriate solutions to specific area. Knowledge base associated with autism is the complex multidimensional information set related to the disease autism for its pathogenic factor and therapy. This paper focuses on the knowledge of biological molecular information extracted from massive biomedical texts with the aid of widespread used machine learning methods. Six classes of biological molecular information (such as protein, DNA, RNA, cell line, cell component, and cell type) are concerned and the probability statistics method, conditional random fields (CRFs), is utilized to discover these knowledges in this work. The knowledge base can help biologists to etiological analysis and pharmacists to drug development, which can at least answer four questions in question-answering (QA) system, i.e., which proteins are most related to the disease autism, which DNAs play important role to the development of autism, which cell types have the correlation to autism and which cell components participate the process to autism. The work can be visited by the address http://134.175.110.97/bioinfo/index.jsp.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.1329-1331
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• 2003

Improvement of the classification accuracy is one of the major concerns in the field of remote sensing application research in recent years. Previous research shows that the accuracy of the conventional classification methods based only on the original spectral information were usually unsatisfied and need to be refined by manual edit. This present paper describes a method of combining the image processing, ancillary data (such as digital elevation model) and expert knowledge (especially the knowledge of local professionals) to improve the efficiency and accuracy of the satellite image classification in hilly land. Firstly, the Landsat TM data were geo-referenced. Secondly, the individual bands of the image were intensitynormalized and the normalized difference vegetation index (NDVI) image was also generated. Thirdly, a set of sample pixels (collected from field survey) were utilized to discover their corresponding DN (digital number) ranges in the NDVI image, and to explore the relationships between land use type and its corresponding spectral features . Then, using the knowledge discovered from previous steps as well as knowledge from local professionals, with the support of GIS technology and the ancillary data, a set of conditional statements were applied to perform the TM imagery classification. The results showed that the integration of image processing and spatial analysis functions in GIS improved the overall classification result if compared with the conventional methods.