• Journal of Korean Biological Nursing Science
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• v.20 no.4
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• pp.244-251
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• 2018

Purpose: The purpose of this study was to explore nursing students' experience in microbiology courses. Methods: Data were gathered through 4 focus group interviews and 1 in-depth personal interview, by 19 nursing students who attended microbiology courses. Data were collected June 15-July 20, 2018. Conventional content analysis was used for data analysis. Results: The result of this study revealed 4 categories: "facing the challenge", "types of learning", "lack of learning motivation", "acquiring knowledge of infection". Conclusion: Findings suggest that it is important to identify nursing students' perspectives, to improve microbiology curriculum in the educational process. Also, it is necessary to connect continuously, between educational and practical environments, for effective management of microbiology courses.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.7 no.1
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• pp.115-126
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• 2008

Since the ITS project of Gwacheon city has been implemented in 1998, feasibility analysis for various ITS projects has been conducted in quantitative and qualitative aspects. However, ITS operation manual that describes the universal standards comprehensive methodology for survey and analysis for the qualitative effects of the ITS. Although it its difficult to measure the qualitative elements, the effectiveness and achievement of ITS project can be directly evaluated from the user survey. A comprehensive methodology proposed in this paper includes the design and implementation of the qualitative survey, the procedure of data analysis, the evaluation, and proposing the enhancements. The proposed methodology that take both quantitative and qualitative aspects into account, therefore, can lead the accurate and effective assessment of ITS projects.

• Journal of the Ergonomics Society of Korea
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• v.16 no.1
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• pp.119-126
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• 1997

Most of human factors experiments in nuclear industry domain produe lots of experimental data, thus much time is reauired to analyze the data. DAEXESS was developed to reduce resource demands necessary for the analysis work through systematic data analysis requirements and automated data processing based on computer technology. Physilolgical data, human behavior recording data, system log data and verbal protocl can be collected, synthesized and easily analyzed with with respect to time domain in DAEXESS so that analyser is able to look into inte- grated information on operating context. DAEXESS assists analyser to carry out qualitative and quantitative data analysis easily.

• The Mathematical Education
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• v.47 no.3
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• pp.273-290
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• 2008

This article provides how to implement the use of Realistic Mathematics Education (RME) in a teaching a function at a school to improve the equity based on the gender in students' mathematization for their mathematical thinking using technology. This study was planed to get research results using the mixed methodology with qualitative and quantitative methodologies. 120 middle school students participated in the study to bring us data about their mathematical achievement. Through the data analysis used by ANCOVA for the qualitative method, the students with the experiment of the mathematization based on technology excelled the other groups of students who were not provided with technology or both of them. Through the data analysis used by the constant comparative method for the qualitative data, the technology environment had helped the female students manipulate learning trends easily, strong construction on horizontal mathematization, depending on discussion with peers, and more reflexive thinking using a calculator. This means that teachers can put careful assignment on each category of mathematization regarding the gender. The study results in a lot of resources for teachers to use into their teaching mathematics for improving students' equity in interactive technology environment.

• Journal of Korean Library and Information Science Society
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• v.46 no.3
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• pp.255-275
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• 2015

The purpose of this study is to develop an approach to teaching qualitative research methods (TQRM) for Library and Information Science. To draw trend of TQRM, 76 course syllabi collected in the research oriented universities' master and doctoral programs, were analyzed using content analysis. The study proposes both common topics and essential strategies for TQRM in terms of the paradigm of qualitative research, research design, wide range of approaches to QR, diversity of collecting and analyzing data, writing, and evaluation criteria. It is very important to identify qualitative stance and to understand paradigms and philosophical and theoretical frameworks of QR for conducting QR reiteratively, creatively, reflectively.

• Journal of Korean Academy of Nursing
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• v.34 no.5
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• pp.881-890
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• 2004

Purpose: The purpose of this study was to explore women caregivers' lived experiences in caring at home for a family member with dementia and to identify conditions that oppress women in the context of family caregiving. Method: This study was conducted within the feminist perspectives using qualitative secondary data. Ten secondary data conveying self reflective contents were selected from the 25 original data obtained in 1999 to 2000. Result: Six themes that emerged from the qualitative thematic content analysis were; androcentric view of family caregiving, undervalued family caregiving by the family members, Self rationalization in the context of family caregiving, family-centric care mechanism, exemplary caring within the family context, and inter-familial relationships among women. Conclusion: The main focus of feminist research is to provide empowerment for the women, research participants and to bring about social change of oppressive constraint through some actions. On the basis of the research findings, therefore, action strategies from feminist perspectives were suggested in some aspects of health care delivery sectors, nursing education and research sectors, and administrative sectors.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.7
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• pp.4863-4870
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• 2015

Currently, as a priority to secure the safety of the railway signalling system, verification for satisfy of the safety integrity requirements(SIR) is required to the essential elements. Safety Integrity Requirements(SIR) verification is performed based on the system safety analysis. But the probability of securing basic data for system safety analysis significantly dropped because there is no experience yet performed in the country. Therefore we are had to rely on a qualitative analysis. There are methods such as qualitative risk analysis matrix, and risk graphs. The qualitative analysis is wide, the width of the accident. However, the reliability of the result is significantly less has a disadvantage. Therefore, it should be parallel quantitative safety analysis of the system/products in order to compensate for the disadvantages of the qualitative analysis. This paper presents a quantitative safety analysis method to overcome the disadvantages of the qualitative analysis. And through a result, highly reliable Safety Integrity Requirements(SIR) verification measures proposed. Verification results, the dangerous failure incidence for vital data processing device was calculated to be $1.172279{\times}10^{-9}$. The result was verified to exceed the required safety integrity targets more.

• Journal of The Korean Association of Information Education
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• v.25 no.3
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• pp.459-469
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• 2021

In this paper, a case study of basic data science practice education for field teachers and pre-service teachers was studied. In this paper, for basic data science education, spreadsheet software was used as a data collection and analysis tool. After that, we trained on statistics for data processing, predictive hypothesis, and predictive model verification. In addition, an educational case for collecting and processing thousands of public big data and verifying the population prediction hypothesis and prediction model was proposed. A 34-hour, 17-week curriculum using a spreadsheet tool was presented with the contents of such basic education in data science. As a tool for data collection, processing, and analysis, unlike Python, spreadsheets do not have the burden of learning program- ming languages and data structures, and have the advantage of visually learning theories of processing and anal- ysis of qualitative and quantitative data. As a result of this educational case study, three predictive hypothesis test cases were presented and analyzed. First, quantitative public data were collected to verify the hypothesis of predicting the difference in the mean value for each group of the population. Second, by collecting qualitative public data, the hypothesis of predicting the association within the qualitative data of the population was verified. Third, by collecting quantitative public data, the regression prediction model was verified according to the hypothesis of correlation prediction within the quantitative data of the population. And through the satisfaction analysis of pre-service and field teachers, the effectiveness of this education case in data science education was analyzed.

• Proceedings of the Korean Society for Quality Management Conference
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• 2010.04a
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• pp.402-408
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• 2010

Forecasting have qualitative and quantitative methods. Quantitative one analyze macro-economic factors such as the rate of exchange, oil price, interest rate and also predict the micro-economic factors such as sales and demands. Applying various statistical methods depends on the type of data. when data has seasonality and trend, Time Series analysis is proper but when it has casual relation, Regression analysis is good for this. Time Series and Regression can be used together. This study investigate artificial neural networks which is predictive technique for casual relation and try to compare the accuracy of forecasting between regression analysis and artificial neural network.

• Animal cells and systems
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• v.3 no.2
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• pp.133-141
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• 1999

To examine the taxonomic position and affinities of Isopyrum mandshuricum (Ranunculaceae) and related taxa, genetic analysis were carried out on the basis of isozyme patterns and ITS sequences. Molecular data, both isozyme patterns and ITS sequences suggest that I. mandshuricum is closely related to Enemion raddeanum than to Semiaquilegia adoxoides. The estimation of genetic identities by isozyme analysis reveals that I. manshuricum is genetically distant from E. raddeanum. The phylogenetic tree based on molecular data is rather congruent with the phenogram based on quantitative morphological characteristics, but not consistent with one based on qualitative morphological characteristics. Incongruencies between molecular and qualitative morphological data provide clues to re-evaluate several morphological features.