• 한국보육지원학회지
• /
• 제20권1호
• /
• pp.91-111
• /
• 2024

Objective: The purpose of this study is to explore trends in institutional evaluation research in early childhood education through keyword network analysis. This aims to understand trends in academic discourse on institutional evaluation and gain implications for follow-up research and related policy directions. Methods: A total of 6,629 keywords were extracted from 572 dissertations and journal articles published from January 2006 to October 2023 for the purpose of analyzing and visualizing the frequency and centrality of keywords, as well as the structural properties of keyword networks. The analysis and visualization were conducted using the TEXTOM, UCINET6, and NetDraw programs. Results: First, the number of institutional evaluation studies increased steadily from 2006 to 2010 and then decreased, with a higher frequency of studies on daycare centers compared to kindergartens. Second, the most frequently occurring keyword in the analysis was 'daycare center,' and the highest connection strength was found in the term 'daycare-center-evaluation.' Third, network analysis revealed that key terms for institutional evaluation research included 'evaluation certification,' 'recognition,' 'evaluation indicators,' 'teacher,' 'daycare center,' and 'kindergarten.' In the ego network analysis for each institution, 'parent' emerged as a highly ranked keyword. Conclusion/Implications: This study confirmed the perspectives of previous studies by revealing the structure of core concepts in early childhood education institution evaluation research, and provided implications for follow-up and direction of institution evaluation

• 식품과학과 산업
• /
• 제43권2호
• /
• pp.105-114
• /
• 2010

• 수산해양교육연구
• /
• 제18권3호
• /
• pp.314-328
• /
• 2006

The purpose of this study is to establish a conceptual model of the course evaluations. in University. This paper has examined the course evaluations according to the levels, purposes, objects, and methods of them. And this paper has been classified for a conceptual model of the course evaluation. As the result of this analysis, four dimensions of course evaluation have been found. First, formative and summative evaluation have been found. The purposes of formative evaluation were improving quality of courses and collecting information for improvement of curriculum. The purposes of summative evaluation were offering informations on faculty staffing and improving of learning outcomes. Second, the levels of course evaluation were classified into university-level, professor-level, and student-level. Third, the objects of course evaluation were classified into analysis, design, development, implementation, and evaluation. Forth, the methods of course evaluation were classified into questionnaire, observation, interview, and content analysis. As a result of this analysis, 120 types of course evaluations have been found.

• Pediatric Infection and Vaccine
• /
• 제15권1호
• /
• pp.20-29
• /
• 2008

The basis of the economic evaluation of vaccination is the balance between the use of the resources (input) and the improvements that result from the vaccination (output). Techniques used for economic evaluation of vaccination are cost analysis, cost-minimization analysis, cost-effectiveness analysis, cost-utility analysis and cost-benefit analysis. Cost analysis seeks to characterize the costs of a given vaccination program. Cost-effective analysis is to helps policy-makers decide on the best use of allocated resources, whether cost-benefit analysis is to helps policy-makers decide on the overall allocation of resources. Cost-utility analysis is a specific form of cost-effective analysis in which outcomes are reduced to a common denominator such as the quality-adjusted life year (QALY) or disability-adjusted life year (DALY). Many economic analyses have been conducted on vaccines in the world, but there have been a little studies on economic evaluation on vaccines in Korea. This paper reviewed the methodology used to economic evaluation on vaccines and immunizations and addressed some examples of the methods.

• 한국식품위생안전성학회지
• /
• 제25권4호
• /
• pp.388-394
• /
• 2010

Metabolomics aims at the comprehensive, qualitative and quantitative analysis of wide arrays of endogenous metabolites in biological samples. It has shown particular promise in the area of toxicology and drug development, functional genomics, system biology and clinical diagnosis. In this study, analytical technique of MS instrument with high resolution mass measurement, such as time-of-flight (TOF) was validated for the purpose of investigation of amino acids, sugars and fatty acids. Rat urine and serum samples were extracted by selected each solvent (50% acetonitrile, 100% acetonitrile, acetone, methanol, water, ether) extraction method. We determined the optimized liquid chromatography/time-of-flight mass spectrometry (LC/TOFMS) system and selected appropriated columns, mobile phases, fragment energy and collision energy, which could search 17 metabolites. The spectral data collected from LC/TOFMS were tested by ANOVA. Obtained with the use of LC/TOFMS technique, our results indicated that (1) MS and MS/MS parameters were optimized and most abundant product ion of each metabolite were selected to be monitorized; (2) with design of experiment analysis, methanol yielded the optimal extraction efficiency. Therefore, the results of this study are expected to be useful in the endogenous metabolite fields according to validated SOP for endogenous amino acids, sugars and fatty acids.

• Safe Food
• /
• 제8권1호
• /
• pp.36-40
• /
• 2013

• 농촌계획
• /
• 제25권2호
• /
• pp.35-45
• /
• 2019

This study revises current feasibility evaluation guideline for agricultural infrastructure improvement project considering recent changes in social and economic environment in rural area. We use an AHP(Analytic Hierarchy Process) approach to consider qualitative evaluation items in policy enforcement and balanced regional development as well as quantitative items in current economic analysis in the process of feasibility evaluation and decision making. The criteria system is composed of three level hierarchy. In the first level which consists of economic analysis, policy analysis, and regional development analysis, economic analysis was ranked top with relative weight of 0.45 and regional development analysis the lowest with 0.22. In the second level which consists of three evaluation items under policy analysis, consistency in policy enforcement, risk factors, and special evaluation factors, consistency in policy enforcement was ranked top. Finally, 13 detailed evaluation items in the third level were surveyed and ranked by using a comprehensive criticality vector. The result shows that the three most important evaluation items are 'degree of underdevelopment', 'spill-over effect of regional economy' and 'consistency with related planning and policy direction'.

• 한국철도학회:학술대회논문집
• /
• 한국철도학회 2003년도 춘계학술대회 논문집
• /
• pp.315-320
• /
• 2003

Selecting a railroad line requires the comparative evaluation of various elements. As a systematic approach to this selection it will be necessary to apply the VE study and the LCC analysis. This study proposes a methodology for selecting the optimum line of the ralroad using VE-LCC analysis. The VE study is performed by following four steps : Information analysis, Function analysis, Alternative evaluation, and Optimum plan selection. The economics evaluation in VE study is using LCC analysis and Sensitivity analysis. Cost items in LCC analysis are classified into bridge, tunnel, rail, and earthwork. We could select the optimum alte-rnatives considering not only cost elements hut also various evaluation element in VE-LCC analysis. The synthetic evaluation process of relative value composition and weighted matrix evaluation

• 산업경영시스템학회지
• /
• 제41권1호
• /
• pp.1-10
• /
• 2018

Current evaluation practices for IT projects suffer from several problems, which include the difficulty of self-explanation for the evaluation results and the improperly scaled scoring system. This study aims to develop a methodology of opinion mining to extract key factors for the causal relationship analysis and to assess the feasibility of quantifying evaluation scores from text comments using opinion mining based on big data analysis. The research has been performed on the domain of publicly procured IT proposal evaluations, which are managed by the National Procurement Service. Around 10,000 sets of comments and evaluation scores have been gathered, most of which are in the form of digital data but some in paper documents. Thus, more refined form of text has been prepared using various tools. From them, keywords for factors and polarity indicators have been extracted, and experts on this domain have selected some of them as the key factors and indicators. Also, those keywords have been grouped into into dimensions. Causal relationship between keyword or dimension factors and evaluation scores were analyzed based on the two research models-a keyword-based model and a dimension-based model, using the correlation analysis and the regression analysis. The results show that keyword factors such as planning, strategy, technology and PM mostly affects the evaluation result and that the keywords are more appropriate forms of factors for causal relationship analysis than the dimensions. Also, it can be asserted from the analysis that evaluation scores can be composed or calculated from the unstructured text comments using opinion mining, when a comprehensive dictionary of polarity for Korean language can be provided. This study may contribute to the area of big data-based evaluation methodology and opinion mining for IT proposal evaluation, leading to a more reliable and effective IT proposal evaluation method.

• Environmental Analysis Health and Toxicology
• /
• 제25권3호
• /
• pp.187-195
• /
• 2010

Nanotechnology is the fastest growing area in scientific research and it has important applications in a wide variety of fields. Nevertheless, consumers encountered this new technology without any identification of risks and benefits. Also until now, there are no specific safety evaluation methods for nanotechnology. For this reason, we studied risk communication strategy for nanotechnology to prepare its application in commercialized products on public. A survey was conducted to identify the differences in perception between public (N=110) and expert (N=37) toward applied nanotechnology in food, drugs and cosmetic products. The survey results were used to draw up a risk cognitive map which was introduced by Paul Slovic, and the perception level of public and expert on nanotechnology was evaluated. As a result of the survey, public recognized nanotechnology as "unknown but low dread" risk factor, but expert recognized it as "unknown and high dread" risk factor. These results indicate that there are perception differences between two groups. Several risk communication strategies are reported including care, consensus and risk communication. In the case of nanotechnology, it contains both risks and benefits. Considering the nature of nanotechnology, the "consensus communication" which informs consumers about risks and benefits of issues is the most appropriate strategy.