• Title/Summary/Keyword: Knowledge-based design

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Development and Evaluation of a Web-based Education Program for Nursing Students on Control of Vancomycin-resistant Enterococcus Infection (간호학생을 위한 웹기반 VRE 감염관리 교육프로그램의 개발 및 효과)

  • Gong, Ju;Kang, Ji-Yeon
    • Journal of Korean Academy of Fundamentals of Nursing
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    • v.19 no.1
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    • pp.122-133
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    • 2012
  • Purpose: The purpose of this study was to develop a web-based education program on control vancomycin-resistant enterococci (VRE) infections and to identify the effects of the program on knowledge and performance of nursing students. Methods: The web-based VRE infection control education program was developed by using the network-based instructional systems design model. The nursing students in the experimental group could access this web-based education program at any time, and as many times as they wanted, during the clinical training period. Effects were evaluated by assessing knowledge and performance of VRE infection control measures during the clinical training period. Results: The contents of the education program included diagnosis, transmission, and treatment of VRE, contact precautions, hand washing, personal protective equipment, environment management, and quizzes. The lecture portion was filmed in a virtual screen studio using flash animation, video, and sound effects, and it was uploaded on an internet site. The knowledge and performance scores of the experimental group after using the education program were significantly higher than those of the control group. Conclusion: The results suggest that the web-based VRE infection control education program is an effective educational method to enhance knowledge and performance of VRE infection control measures.

Effect of Simulation-based Practice on Clinical Performance and Problem Solving Process for Nursing Students (시뮬레이션을 활용한 실습교육이 간호학생의 간호수행능력과 문제해결 과정에 미치는 효과)

  • Lee, Myeong-Sun;Hahn, Suk-Won
    • The Journal of Korean Academic Society of Nursing Education
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    • v.17 no.2
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    • pp.226-234
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    • 2011
  • Purpose: The purpose of this study was to identify the effect of a simulation-based practice on clinical performance and problem solving processes for nursing students. Method: The study used a one group pre-post test design. Students experienced a simulation-based practice that included team base learning, skill training, taking a high-fidelity simulation with SimMan 3G, and also being debriefed for 12 weeks (August 2010 to December 2010). The pre-test and post-test were conducted to compare the differences in knowledge, clinical nursing skills, and problem solving processes. Result: After students had received the simulation-based practice, they showed statistically significant higher knowledge (t=14.73, p<.001) and clinical nursing skills (t=15.47, p<.001) than before. However, there was no significant difference in the problem solving process score (t=1.53, p=.127). Conclusion: This study showed that knowledge and clinical nursing skills were significantly improved by the simulation-based practice. Further research would be required to identify how the problem solving process that uses simulation-based practice could be developed further.

Improvement of an Early Failure Rate By Using Neural Control Chart

  • Jang, K.Y.;Sung, C.J.;Lim, I.S.
    • International Journal of Reliability and Applications
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    • v.10 no.1
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    • pp.1-15
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    • 2009
  • Even though the impact of manufacturing quality to reliability is not considered much as well as that of design area, a major cause of an early failure of the product is known as manufacturing problem. This research applies two different types of neural network algorithms, the Back propagation (BP) algorithm and Learning Vector Quantization (LVQ) algorithm, to identify and classify the nonrandom variation pattern on the control chart based on knowledge-based diagnosis of dimensional variation. The performance and efficiency of both algorithms are evaluated to choose the better pattern recognition system for auto body assembly process. To analyze hundred percent of the data obtained by Optical Coordinate Measurement Machine (OCMM), this research considers an application in which individual observations rather than subsample means are used. A case study for analysis of OCMM data in underbody assembly process is presented to demonstrate the proposed knowledge-based pattern recognition system.

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Exploration to Model CSCL Scripts based on the Mode of Group Interaction

  • SONG, Mi-Young;YOU, Yeong-Mahn
    • Educational Technology International
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    • v.9 no.2
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    • pp.79-95
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    • 2008
  • This paper aims to investigate modeling scripts based on the mode of group interaction in a computer-supported collaborative learning environment. Based on a literature review, this paper assumes that group interaction and its mode would have strong influence on the online collaborative learning process, and furthermore lead learners to create and share significant knowledge within a group. This paper deals with two different modes of group interaction- distributed and shared interaction. Distributed interaction depends on the external representation of individual knowledge, while shared interaction is concerned with sharing knowledge in group action. In order to facilitate these group interactions, this paper emphasizes the utilization of appropriate CSCL scripts, and then proposes the conceptual framework of CSCL scripts which integrate the existing scripts such as implicit, explicit, internal and external scripts. By means of the model regarding CSCL scripts based on the mode of group interaction, the implications for research on the design of CSCL scripts are explored.

Effect of Stepwise Communication Education Program using SBAR among Nursing Students: Focusing on Scenarios and Nursing Case-based Role Playing (간호대학생의 SBAR를 이용한 단계별 의사소통 교육프로그램의 효과: 시나리오와 간호사례기반 역할극을 중심으로)

  • Noh, Yoon Goo;Lee, Insook
    • The Journal of Korean Academic Society of Nursing Education
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    • v.24 no.2
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    • pp.115-126
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    • 2018
  • Purpose: This study intends to examine the effects of a stepwise communication education program among nursing college students, focusing on scenarios and nursing case-based role playing. Methods: The study design was a one-group repeated measure ANOVA. Participants were 27 nursing students in practice. Students participated in 5-week stepwise communication education program using SBAR; including 1 week of lecture education, 4 weeks of scenarios and nursing case-based role playing. The data were collected at each level of the education process: pre-education, after 1 week of lectures, and after completion of scenarios and nursing case-based role playing. Repeated measures ANOVA was used to determine changes in SBAR technique knowledge and communication self-efficacy. Results: The stepwise communication education program using SBAR was effective in increasing SBAR technique knowledge, and communication self-efficacy. The lecture-based education was effective only in the area of SBAR technique knowledge and its subscale, attitudes towards SBAR. However, scenarios and nursing case-based role playing was broadly effective across communication self-efficacy, SBAR technique knowledge, and its subscale, knowledge of the SBAR. Conclusion: Based on this study, we propose that it is necessary to confirm the effect of long-term SBAR communication education using scenarios and nursing case-based role playing in nursing students' practice.

A Development of Façade Dataset Construction Technology Using Deep Learning-based Automatic Image Labeling (딥러닝 기반 이미지 자동 레이블링을 활용한 건축물 파사드 데이터세트 구축 기술 개발)

  • Gu, Hyeong-Mo;Seo, Ji-Hyo;Choo, Seung-Yeon
    • Journal of the Architectural Institute of Korea Planning & Design
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    • v.35 no.12
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    • pp.43-53
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    • 2019
  • The construction industry has made great strides in the past decades by utilizing computer programs including CAD. However, compared to other manufacturing sectors, labor productivity is low due to the high proportion of workers' knowledge-based task in addition to simple repetitive task. Therefore, the knowledge-based task efficiency of workers should be improved by recognizing the visual information of computers. A computer needs a lot of training data, such as the ImageNet project, to recognize visual information. This study, aim at proposing building facade datasets that is efficiently constructed by quickly collecting building facade data through portal site road view and automatically labeling using deep learning as part of construction of image dataset for visual recognition construction by the computer. As a method proposed in this study, we constructed a dataset for a part of Dongseong-ro, Daegu Metropolitan City and analyzed the utility and reliability of the dataset. Through this, it was confirmed that the computer could extract the significant facade information of the portal site road view by recognizing the visual information of the building facade image. Additionally, In contribution to verifying the feasibility of building construction image datasets. this study suggests the possibility of securing quantitative and qualitative facade design knowledge by extracting the facade design knowledge from any facade all over the world.

Effects of Simulation on Nursing Students' Knowledge, Clinical Reasoning, and Self-confidence: A Quasi-experimental Study

  • Kim, Ji Young;Kim, Eun Jung
    • Korean Journal of Adult Nursing
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    • v.27 no.5
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    • pp.604-611
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    • 2015
  • Purpose: Knowledge, clinical reasoning, and self-confidence are the basis for undergraduate education, and determine students' level of competence. The purpose of this study was to assess the effects of the addition of a one-time simulation experience to the didactic curriculum on nursing students' knowledge acquisition, clinical reasoning skill, and self-confidence. Methods: Using a quasi-experimental crossover design consisted of intervention and wait-list control groups. Participants were non-randomly assigned to the first intervention group (Group A, n=48) or the wait-list control group (Group B, n=46). Knowledge level was assessed through a multiple choice written test, and clinical reasoning skill was measured using a nursing process model-based rubric. Self-confidence was measured using a self-reported questionnaire. Results: Results indicated that students in the simulation group scored significantly higher on clinical reasoning skill and related knowledge than those in the didactic lecture group; no difference was found for self-confidence. Conclusion: Findings suggest that undergraduate nursing education requires a simulation-based curriculum for clinical reasoning development and knowledge acquisition.

The Role of Knowledge Management, Managerial Competence, Market Orientation, and Innovation on Sustainable Competitive Advantage

  • SUKOROTO;Heru Kurnianto TJAHJONO;Sri Handari WAHYUNINGSIH
    • Journal of Distribution Science
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    • v.21 no.5
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    • pp.63-73
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    • 2023
  • Purpose: This study proposes a model for future research agendas on knowledge management activities as a source of increasing sustainable competitive advantage. Based on the literature, the role of knowledge management in sustainable competitive advantage does not necessarily have a significant effect but involves other variables. For this reason, future research proposals on the role of knowledge management on sustainable competitive advantage and other relevant variables need to be carried out. Research design, data, and methodology: This research uses a literature study. The model development stage is (1) relevant research studies, (2) identification of relevant theories and related variables, (3) developing and making a hypothesis (4) proposed model. Results: From the literature study, it was found that knowledge management plays a role in increasing managerial competence, market orientation, and innovation. Furthermore, managerial competence, market orientation, and innovation significantly affect sustainable competitive advantage. However, other studies have found a different relationship. Conclusions: This study proposes a research model on the role of knowledge management, managerial competence, market orientation, and innovation to improve sustainable competitive advantage. The study results can be used for further research based on the proposed model and as a reference for company owners and management to increase competitive advantage.

Extracting Method of Kansei Design Rules Based on Rough Set Analysis

  • Nishino, Tatsuo;Nagamachi, Mitsuo
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2002.05a
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    • pp.201-204
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    • 2002
  • Kansei design knowledge acquisition stage is a crucial stage in kansei designing process and kansei engineering (KE) methodology. In kansei engineering methodology, it is essential to extract design knowledge or rules on relationships between customer's kansei and product design element. We attempt to construct a more powerful melted for extracting the design rules from kansei expremental data. We constucted a kansei experiment concerning color kansei evaluation, and analyzed the sane data by both conventional quantification theory type I and rough set theory. Finally, we compared the effectiveness of both methods for extracting rules and examined the extensions of rough set theory in kansei engineering.

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