• 복식
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• 제55권3호
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• pp.150-163
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• 2005

Distance Learning Education has been adopted as an alternative educational method to actively face the changing educational field. Fashion design education essentially requires not only a theoretical but also a practical process in which feedback comes through personal interactions between an instructor and a student. Hence, the existing WBI system exemplifies its limitations by applying only a one-way methodology that limit interactions based only on the theoretical texts. The objective of this study was to reveal the effects of an originally designed Distance Education program factoring in a teaching-learning methodology that addresses the practical demands of a fashion design program. So It analyzed the pre-existing conditions through a questionnaire survey of 472 students and 60 fashion design instructors to determine how the traditional fashion design education is different from other programs and which method is being applied. then, It designed and applied an original web-based distance educational system specifically incorporating the needs of the fashion design curriculum based on the data collected from the survey questionnaire.

• 대한공간정보학회지
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• 제14권2호
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• pp.23-32
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• 2006

본 연구에서는 기존 수치정사사진을 이용한 지적불부합지 조사에 있어 육안판독 수준의 문제를 개선하고자 기존 조사 방법보다 신속하고 객관적으로 불부합지를 조사할 수 있는 새로운 방법론을 제시하고자 하였다. 이를 위해 적용 가능한 방법론을 탐색하고 적용 방법을 정립하였다. 이렇게 정립된 방법론을 이용하여 프로토타입 시스템을 구현하였다. 그리고 실제 실험지역 적용을 통하여 방법론의 적용 가능성을 제시하고자 하였다. 연구 성과로는 기존 조사 방법보다 객관적이고 효율적으로 조사할 수 있는 point-correspondence 기반의 불부합지 조사 방법을 제시하였다. 정확도 측면의 타당성을 제시하고자 동일한 지역을 대상으로 기존 조사 기법과 비교한 결과 정확도 면에서 많은 차이를 보이지 않아 방법론의 적용 가능성을 제시할 수 있었다.

• 산업경영시스템학회지
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• 제30권4호
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• pp.21-29
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• 2007

We derive priority decision making on healthcare service technology standardization in the home network through the decision support process with industry professionals. We configured a research group with 4 industrial areas including Industry, Academic, Research Institution and Medical Institution. And we also applied AHP methodology for the priority decision making. The research group decides an evaluation criteria which are consisted of marketability, technology, ripple effect, strategy for national policies in order to make a priority for healthcare service on a home network. And it is also decided 7 fields and 24 sub-fields, technically. In order to make a priority for the standardization, we use an AHP methodology, that is more objective and feasible, as a decision tool. After two-phase survey that consists of paper survey and face to face meeting, we get a conclusion that home healthcare content is at the top and then wireless home network follows it.

• 방사선산업학회지
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• 제9권1호
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• pp.21-27
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• 2015

The domestic Radiation Technology is integrated into and utilized in various areas and is closely related to the industrial growth in Korea. The domestic use of radiation and RI (Radioisotope) increases in quantity every year, however the level of technology is poor when compared to other developed countries. Manpower training is essential for the development of Radiation Technology. Therefore, this study aimed to propose a methodology for designing systemic education and training model in the field of measurement and analysis of radiation. A survey was conducted to design education and training model and the training program for measurement and analysis of radiation was developed based on the survey results. The education and training program designed in this study will be utilized as a model for evaluating the professional development and effective recruitment of the professional workforce, and can be further applied to other radiation-related fields.

• 유통과학연구
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• 제20권11호
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• pp.19-31
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• 2022

Purpose: This research aims to analyze the educational potential and students' satisfaction with the quality of education services distribution in Kazakhstani universities. The conceptual review shows that very few studies on regional development have been able to determine the level of satisfaction with the quality of educational services depending on the university's location. Research design, data, and methodology: The research methodology is divided into two approaches descriptive analysis and qualitative data analysis. The current educational situation and the distribution of educational services in the largest Kazakh universities were studied based on the proposed approaches' use. Statistical data are taken for indicators of educational potential for 2010-2020 from the Bureau of National Statistics. The primary data were collected based on a survey for 2021-2022 in five regions of Kazakhstan. Results: The results showed that there is a gender gap between men and women and regional disparities between the regions of Kazakhstan in the coverage of higher education. The results of the sociological survey revealed that the quality of educational services depends on the territorial location of the university. Conclusions: Based on the results of the assessment of educational potential and educational services, policy recommendations and further research in this area were proposed.

• 유통과학연구
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• 제21권4호
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• pp.47-56
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• 2023

Purpose: the research aims to analyze the impact of the distribution of knowledge through online learning on the intellectual potential of PhD students and produce recommendations for policy to improve intellectual capacity. During the literature review, it was determined that a large number of studies examined the impact of online learning on the quality of education at different levels. Research design, data and methodology: the research methodology is based on subjective assessment and studying the students' opinions. The basis of the study was a comprehensive analysis of primary data obtained through a sociological survey of PhD students. 324 respondents from humanitarian, medical and natural faculties participated in the survey. Results: the study revealed that online learning helps increase students' intellectual potential. PhD students had a positive attitude towards the transition from traditional education to online learning. It should be noted that, according to the results, the most popular gadgets were laptops and smartphones, which were characterized by high mobility and ease of use. Based on the obtained results, recommendations were developed for the formation of online learning with a focus on increasing students' intellectual potential. Conclusions: based on the results of the assessment of educational and innovative potential, policy recommendations and further research in this area were proposed.

• 유통과학연구
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• 제22권2호
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• pp.11-20
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• 2024

Purpose: The primary objective of this study is to investigate the impact of website quality on impulse buying of the online retailer, which is mediated by positive emotion and moderated by personalized advertising. Research design, data and methodology: The present study used a survey methodology conducted on many user's smartphones. The sample in this study included 409 college students in Indonesia. Purposive sampling was used as the sampling technique. Data was collected by distributing questionnaires to many respondents through the Google Documents online survey. Results: The findings derived from the application of structural equation modelling for data analysis show that 1). Website quality affects impulse buying and positive emotion, and 2). The impact of website quality on impulse buying was mediated by positive emotion and moderated by personalized advertising. Conclusions: The findings presented in this study has significant theoretical implications that contribute to the existing concept on the relationship between website quality, positive emotion, personalized advertising and impulse buying. The findings of the research possess managerial implications. It can be used can as a reference in determining website quality and the appropriate personalized advertising that increases online impulse buying at online retailer In Indonesia.

• 한국정보시스템학회지:정보시스템연구
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• 제33권1호
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• pp.207-226
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• 2024

Purpose This study aims to develop a job model for data convergent talents to meet the rapidly changing demands of the data industry. To create a job model, we first define and categorize data convergent talents with balanced competencies in data technology and domain knowledge, and then develop a job model by investigating job areas, scope, activities, and competencies. Design/methodology/approach The research is conducted using the following procedures and methodology. First, we conduct a current status survey on data talent demand, data talent policies, data talent programs, and curricula at home and abroad; second, we collect opinions on the jobs and competencies required for data convergent talents and curricula for talent development through in-depth interview with experts; and third, we present the job areas and job activities of data convergent talents derived from the previous status survey and expert opinions based on the National Competency Standards(NCS). Findings The research findings indicate that there are total of six job roles for data convergent talents, including data scientist, data planner, data architect, data developer, data engineer, and data analyst. It was observed that each of these roles requires the development of common competencies within their respective fields, followed by a need for further specialization into specific competencies within each professional domain.

• 한국터널지하공간학회 논문집
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• 제11권2호
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• pp.151-162
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• 2009

본 연구에서는 터널 설계구간의 대부분을 차지하는 미시추 구간의 지반 등급 분류를 정량적으로 수행할 수 있는 새로운 접근방법을 제안한다. 본 제안방법은 시추공에서 얻은 직접조사 결과와 시추구간의 전기 비저항 탐사결과를 이용해 인공 신경망을 학습시카고, 학습된 인공 신경망은 미시추 구간의 암반분류 등급을 추론하는데 적용된다. 지반등급 추론은 미시추 구간 영역에서 움직이는 격자형 창(window)의 중심점에서 이루어 지며 창내 귀속된 전기 비저항들은 추론을 위한 참고자료로 시용된다. 인공 신경망 학습은 최선 RPROP(Resilient backpropagation) 인공 신경망 학습 알고리즘과 early-stopping 기법을 이용하여 수행되었다. 본 연구에서는 실제 시추조사가 이루어진 터널현장에 제안기법을 적용하여 미시추 구간의 지반 등급을 추론하였으며, 전통적인 지구통계학적 크리깅(kriging) 기법에 의한 결과와도 상호 비교하였다. 결과적으로 본 연구를 통해 학습된 인공 신경망은 전통 크리깅 방법에 비해 매우 구체적이고 현실적인 예측결과를 제공하였다 또한, 인공 신경망 추론으로부터 얻어진 터널 종단 방향의 RMR과 Q-값의 분포에서는 전기 비저항 탐사로부터 추정된 취약지반 구간의 위치와 잘 일치하였으며, 두 값 상호간의 관계도 선행 연구 결과와 부합하였다.

• 신재생에너지
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• 제7권3호
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• pp.36-45
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• 2011

Prediction of demand for workforce in new and renewable energy is precondition for sustainable growth of an industry. The purpose of this research is to review prediction methods and case studies of workforce in new and renewable energy industry. This research compares the three methods in the focused on possibility of applying in renewable energy industry; survey, input-output and labor function estimation methods. Also, three cases are reviewed in the focused on applied method; Korea, America and Australia. As a result, the survey method was wildly used in the new and renewable industry. Also the improvement rates of work force are difference depending on the methodology. This result can be applied to set up the policy of human resource development of renewable energy.