The purpose of this study was to determine the effect of simulation-based Korea advanced life support training on new nurses' knowledge, clinical performance ability, performer confidence, and learning satisfaction. Methods: This is a non-equivalent controlled pre-post quasi-experimental study. A simulation-based CPR training program was applied to 37 new nurses. Results: The experimental group scored lower on emergency management knowledge (83.65±7.61) than the control group (84.55±9.22), which was not significant (t=-4.46, p=.657). However, the clinical performance ability score was significantly higher in the experimental group (109.59±9.98) than in the control group (100.24±11.87) (t=3.581, p <.001). Performer confidence was significantly higher in the experimental group (23.43±3.29) than in the control group (19.90±3.85) (t=3.69, p〈.001). In addition, the learning satisfaction score of the experimental group (96.16±5.64) was significantly higher than the control group (88.42±11.13) (t=3.72, p< .001). Conclusion: This study confirmed that simulation training is an efficient way to improve new nurses' clinical performance ability, and performer confidence. Therefore, applying simulation training in scenarios can improve new nurses' work competence and contribute to improving the quality of patient care.

This study examined how Google Jamboard-based autonomous knowledge-sharing advanced language proficiency and motivation in an online intermediate–high EFL communication course. For one semester, 30 Korean first-year college students shared their learning experiences beyond the classroom, enhancing their English communication competence via a weekly Jamboard. The students speaking and perceived proficiencies and motivation changes were examined. Overall speaking proficiency increased, except for pronunciation. Students acquired the ability to selfstudy, but this was insufficient for oral practice because distance learning limited direct interactions. Perceived current proficiency increased, but imaginary proficiency and English importance did not. Their ease in using English in their daily life improved, and they felt the gap between the current and imaginary proficiencies decreased. The ideal L2 self increased, based on instrumentality and integrativeness. This finding indicates that students understood that they were undergoing the process of becoming fluent English speakers. Hence, well-organized self-directed activities can promote autonomous learning behavior to improve language proficiency and motivation.

본 연구는 대학교양교육의 전통적인 교육목표를 넘어서 새로운 사회변화에 대응할 수 있는 교양교육의 필요성과 방향성을 제시했다. 또한 최근 융합문화 시대를 맞이하여 사회적 가치를 실현하기 위한 대학 교양교육의 중요성을 논의했다. 특히 4차 산업혁명 시대로의 전환을 통해 나타난 급격한 사회구조적 변화에 대응하기 위해서는 보편적 규범을 실천하기 위한 학습이 요구된다. 사회과학지식에 토대를 둔 대학교양교육 체계는 현실 사회문제를 해결하고 올바른 가치를 함양시키며, 인간에게 필요한 핵심역량 을 내재화시키는데 중요한 역할을 하게 된다. 공공적 지혜와 시장적 지식으로 각각 대변되는 윤리와 기 술에 기반을 둔 대학교양강좌의 교육목표 실행은 사회구성원들의 삶의 질을 향상시킬 수 있다. 요컨대 사회과학에 기반을 둔 대학교양교육 콘텐츠의 학습은 사람들이 사회적 가치를 실현하는데 크게 기여할 수 있을 것이다.

In previous studies, the pressure distribution on optical mirror surface was measured by CFD analysis assuming various external air conditions on optical structures designed using knowledge-based design techniques. In this study, the KBD model was verified by comparing the pressure data from the mirror surface obtained through CFD analysis with the pressure values from the wind tunnel test of the actual model.

본고는 우리나라 2015 개정 교육과정에 도입된 ‘역량기반 교육과정’을 전반적으로 이해하고, 역량기반 교육과정의 비판적 수용 측면에서 한문과 교육과정 한시 영역의 목표와 내용 ‘지식’의 선정 방향을 모색하는 것을 목적으로 한다. 역량기반 교육과정은 전 세계적인 교육 변화의 화두로, 2000년대 초반부터 급부상한 미래 대비 대안적 교육과정 설계 방식이다. 역량기반 교육과정은 수많은 비판을 받아 왔지만, 그 비판들을 적극적으로 수용하여 학교 교육에 적합하도록 진화하고 있다. 역량기반 교육과정이 지속되리라는 전망에 따라, 한문과 교육과정 한시 영역의 목표와 내용 지식 선정에 있어서도 이에 대한 고려가 필요하다. 목표 설정 시, 역량기반 교육과정과 그에 대한 비판 및 한시의 특수성을 감안하여, 역량 관련 내용을 포함하도록 고려해야 한다. 내용 지식 선정 시, 역량기반 교육과정과 그에 대한 비판, 한시의 특수성 및 교육과정 실행을 고려하여, 강력하고 다양한 종류의 지식을 선정하는 것이 필요하다.

The performance of ground-based optical structures is highly sensitive to external environments, such as airflow in open space. In this paper, initial aerodynamic data due to ambient air flow were analyzed in optical models designed through knowledge-based design algorithm, and dynamic data acting on optical structures in turbulent flow with velocity of 50m/s were analyzed to present the initial shape design conditions of the structures. The simulation results showed that the maximum pressure, minimum pressure, and maximum differential pressure acting on the mirror are directly proportional to the sweep angle.

This paper describes a development of design tool for knowledge based engineering(KBE) that covers structural, aerodynamic, and optical analysis of large-scale telescope structures. A module of the commercial program Adaptive Modeling Language(AML) was used to develop a knowledge-based design tool that reflects the design of parameters for rapid design change and analysis. Through this study, it is proposed a design tool with a knowledge based engineering and a function based design technique. The knowledge based engineering design is good at frequent design changes, and it is effective to extract a core design behavior from previous designs. It is concluded that the developed tool can bring fair effects in implementing a time and cost-effective design environment.

Purpose: This study was conducted to evaluate simulation-based asthma pediatric care among nursing students. Methods: One group post design was utilized. A total of 148 nursing students were recruited as participants. The data were collected from February 22to June10, 2016. Seven hours of simulation-based asthma pediatric care was conducted. Results: The total mean knowledge score for asthma pediatric care was 3.8, and simulation-based performance score was 8.0. In simulation-based performance, the highest mean score was 2.4 for “oxygenation” category and the lowest mean score was 1.5 for “nursing recording.” There was no statistically significant difference in the level of clinical performance using simulation for the upper, middle, and lower groups according to the theoretical knowledge level. Additionally, no statistically significant correlation was found between the theoretical knowledge score and simulation-based clinical performance score. Conclusion: The findings suggest that simulation-based care involving various scenarios and integrated evaluation tools for clinical nursing performance are required to improve asthma pediatric care among nursing students.

본 연구는 사전지식 수준이 어떠한 조절요인을 통해서 소셜커뮤니케이션 행동을 하는지를 검 토하였다. 정치쟁점 ‘사드’에 대한 사전지식 수준이 관여도와 뉴스신뢰도에 미치는 영향을 검증 한 결과, 관여도 구성 요소중 이슈관여, 가치관여 측면에서 차이를 보였고, 뉴스신뢰도에는 영향 을 미치지 않았다. 정치쟁점 ‘사드’에 대한 사전지식 수준이 소셜커뮤니케이션 행동에 미치는 영 향을 검토한 결과, 정보전달과 정보공유행동에 유의미한 차이를 보이지 않았다. 그러나 정치쟁점 ‘사드’에 대한 사전지식 수준과 소셜커뮤니케이션 행동의 관계에서 관여도와 뉴스신뢰도가 조절 요인으로 효과가 있는지 살펴보았다. 그 결과 모두 조절요인으로서 효과가 있는 것으로 나타났 다. ‘좋아요’에는 뉴스신뢰도와 가치관여가 조절변인으로서 통계적으로 유의한 것으로 나타났다. ‘댓글달기’는 가치관여가 가장 높게, 정치관여가 조절효과를 보였다. ‘공유하기’의 경우엔 뉴스신 뢰도, 이슈관여, 정치관여, 가치관여등 모든 요인이 유의미한 영향을 주는 것으로 나타났다.

The present paper discusses the interrelationship among knowledge creation, heterogeneity, and open service innovation – an important theme of marketing research. Drawing on the literature of knowledge based innovation, we argue that both researchers and practitioners should extend the functionality of created knowledge into open and service-oriented innovation context. Our conceptual framework represent the following major points. First, the four classic knowledge creation mode each has different influences on open service innovation, given employee and customer knowledge is a cornerstone of service innovation. Specifically, socialization positively, externalization positively, combination positively, and internalization negatively predicts open service innovation. Second, knowledge heterogeneity moderates in the above mentioned relationships. Implication are discussed

Lack of knowledge is reported to be the main reason that consumers do not buy products with ethical certifications. More than half (59%) of respondents from a study indicated that they had never considered buying such products due to insufficient knowledge about them (Demeritt, 2002). The purpose of this research is to provide a clear overview about the influence of product knowledge on consumer behavior and to develop a typology of fair-trade consumers. An online questionnaire in which respondents self-report their responses was developed to measure the constructs used for the study: self-perceived knowledge, purchase experience, demographic data (age, gender, education level, and income), psychographic data (attitudes and moral norms), and behavioristic data (purchase intentions of fair-trade apparel and willingness to pay more for fair-trade apparel). Data were collected using a web-based survey with 250 U.S. residents. Two-step cluster analysis was used to classify respondents into sub-groups based on their level of self-perceived knowledge and previous purchase experience of fair-trade apparel. In addition, ANOVA was used to test the predictive validity of the cluster solution. A three cluster solution was suggested by the results: 1) Less familiar and less experienced: This group was the largest among the three clusters (40.4%). It mostly consist of people with low level of self-perceived knowledge and low purchase experience related to fair-trade apparel. 2) More familiar and more experienced: This group consists of 30.8% of the sample and has moderate level of self-perceived knowledge and several experience related to fair-trade apparel. 3) More familiar but less experienced: This group was the smallest among the three clusters (28.8%). People from this group feel fairly knowledgeable about fair-trade apparel but have low experience with purchasing the product. Regarding demographic data, ANOVA results showed that there were significant differences in consumers’ income level (F=5.77, p=.004) across groups. Tukey’s HSD post hoc test indicated that the more familiar and more experienced group had higher income levels than the other two groups. Examining psychographic data showed that attitudes toward fair-trade products (F=7.42 p=.001) and moral norms (F=11.66 p<.001) significantly varied across groups. More familiar and more experienced group had more positive attitudes and higher level of moral norms than the less familiar and less experienced group. In terms of behavioristic data, groups differed significantly in both purchase intentions (F=18.16 p<.001) and willingness to pay more (F=5.02 p=.007) for fair-trade apparel. That is, more familiar and more experienced group was willing to pay significantly more and had higher purchase intentions for fair-trade apparel than the less familiar and less experienced group.

This conceptual paper is motivated by personal industry experience from over 100 customer-purchasing decisions from the machine tooling industry. The insights suggest that the customer’s ability to pay (ATP) constitutes a key deal-breaker criterion for value-based decision making that up to date has been overlooked in research. Customers may be willing, but unable to pay for the offering with the highest perceived value, simply because they lack the financial resources. The traditional view on value-based marketing strategies proposes that firms must provide offerings that create value for their customers (premise 1: customer need perspective) and that the value created must be superior to competition (premise 2: competitor perspective) while generating profits (premise 3: firm’s perspective). Customers will estimate which offering provides superior value, and they will choose the offering that delivers the highest value. I introduce the customer’s ability to pay as an additional foundational premise suggesting that the firm’s offering must also be within the customer’s budget (premise 4: customer budget perspective). I propose that frontline employees must not only develop a high degree of customer need knowledge, but they must also build-up a high level of customer budget knowledge. I conclude by deriving operative and strategic management implications supported with empirical evidence from the Australian machine tooling industry.

This paper presents how Digital Knowledge Ecosystem such as “Govi Nena” (translates as agriculture intelligence) can be used to provide a more effective and practical solution to eliminate the inefficiencies in agricultural markets and achieve higher productivity and price stability. In order to establish the framework to analyze the system, this paper uses a set of hypothetical scenarios faced by value chain actors based on a review of the literature, established knowledge and recent developing country experiences. The scenario analysis reveals that “Govi Nena” enables farmers to make effective production decisions, deepens the level of value chain integration, and enhances the level of welfare for the society as a whole.

Purpose: This study was to identify the effect of siimulation-based educational for delivery nursing program on knowledge, problem solving process and confidence in nursing students. Methods: This study was one group pre-post test design, participants are 51 nursing student. This simulation-based education for delivery nursing program was applied to the subjects from 31th, August to 25th, September, 2015. The program consist of a scenario in which each of the situations presented from first stage of labor to the fourth stage of labor. Data were analyzed using SPSS WIN 19.0 program. Result: There was a significant difference on delivery nursing knowledge, problem solving process and confidence. Conclusion: Therefore, the educational program of labor simulation was effective on improving knowledge, problem solving process and self-confidence among nursing students.

This paper considers a paternity and kinship analysis system(PKAS) being currently used in real sites. A knowledge-based expert system is proposed to improve the performance of PKAS in terms of accuracy, speed, training time, and satisfaction, which are common measures for evaluation. The knowledge base, one of the most important components in the knowledge-based expert system(KBES), consists of a rule made from random matching algorithm, decision rules of allele types and guide rules of options. The last two rules are learning incrementally from sample data. The results show that PKAS armed with the expert system ensures the better performance with regard to these criteria than the existing system. Especially as far as speed is concerned, as the sample size increases, it outperforms the existing one. As the number of samples increases, while processing time increases nearly exponentially in the existing PKAS, it does linearly in our proposed system.

본 연구는 산업집적의 공간적 패턴과 구조를 분석하여 고집적지(핫스팟)를 찾는 데 있다. 이를 위해 본 연구는 경기도 지식기반산업을 대상으로 경기도 31개 시·군 및 538개 읍면동 단위를 분석하였다. 분석을 위해 이용된 방법은 대표적인 공간통계기법 중 고집적지를 찾는데 탁월하다고 알려진 Getis-Ord’s Gi *와 입지계수(LQ: Location Quotients)의 약점을 보완하고자 제시된 Flegg’s Location Quotients (FLQ)이다. 이 방법들로 찾은 고집적지는 공통적으로 비슷한 지역을 찾아내고 있는 것으로 분석되어 집적분석을 통해 산업을 분석하기 위한 기초자료로 활용될 수 있을 것으로 보인다. 본 연구는 산업의 공간적 분포패턴을 종합적으로 분석하는 방법론을 제시하였다는 데 의의가 있으며 이를 통해 경기도가 추구하는 지역혁신체계를 추구하기 위한 클러스터 정책을 펼치는데 유용한 정보를 제공해 줄 수 있을 것으로 보인다.

Purpose: This study was conducted to examine the effects of Clinical practice learning using a web-based e-book on nursing students' learning motivation, knowledge achievement and satisfaction with clinical practice. Methods: The participants in this study were 69 third-year nursing students (34 in the experimental and 35 in the control group) from a C-university in G-city, Korea, who were engaged in one-week clinical practicum in a gastroenterology ward. The data were analyzed by x²-test, Fisher's exact test, and t-test with the SPSS program 20.0. Results: After intervention, compared to the control group, the experimental group reported significant difference in Learning motivation (t=-3.61, p<.001), knowledge achievement(t=-2.92, p<.001), and satisfaction with clinical practice (t=-8.78, p<.001) in the training course using Mosby's nursing skills. Conclusion: These results identified that clinical practice learning using Mosby’s Nursing Skills was effective for the improvement of learning motivation, knowledge achievement and satisfaction with clinical practice. These results indicate that the implementation of an e-Learning needs to be continued as an effective educational tool. Also, it is needed to research more for better ways to implement e-Learning on students’ practicum.

본 연구에서는 정밀농업 구현을 위해 필수적인 요소인 토양과 기후 그리고 위치요인을 데이터로 구축한 후 이를 수치화하여 최고점수제를 이용하는 지식기반형 작물추천모델을 개발하였다. 작물추천시스템에서 사용한 요인은 토양과 기후 그리고 위치정보이다. 토양의 경우에는 흙토람 자료 중 작물적지 선정에 80%이상 활용되는 토성, 침식등급, 배수등급, 경사, 자갈함량, pH를 선정하였다. 기후요인은 기상청의 5년간 누적데이터를 기초로 하여 작물생육에 필수적인 기온과 강수량 그리고일조시간 등을 사용하였다. 위치정보는 한국토지정보시스템과 수치지형도를 가공하여 사용하였다. 예시작물은 농촌진흥청에서 추천한 옥수수, 유채, 갈대, 수박, 고추, 토마토, 양파, 감자, 고구마, 구기자 10개 작물로 하였으며, 향후 작물추천 수요가증가할 것으로 예상되는 제천, 무안, 원주, 함안 4개 지역을 포괄적으로 시뮬레이션하였다. 분석결과 평균점수는 고추가 75.5점으로 가장 높았으며 고구마가 61.2점으로 가장 낮았다. 작물별 식재면적에 제약이 있다고 가정하고 2차 시뮬레이션을실시하여 경남 함안시의 7만 필지를 별도설정하고 분석한 결과 고구마가 39,190필지에서 가장 높은 점수를 받았으며 면적으로는 27.014 km2이었다. 지식기반형 작물추천시스템은 작물의 적지를 선정하는 항목과 가중치가 검증되지 않았다는 한계를 가지고 있으나, 이에 대한 보완이 이루어지고, 농산물유통부분을 고려하여 실제 정보수요자에게 제공하면 영농현장에서 활용 가능할 것으로 판단한다.