• 간호행정학회지
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• 제15권1호
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• pp.72-80
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• 2009

Purpose: To investigate the influence of a team learning climate on group performance of hospital nurses. Method: The subjects were 386 nurses who have been working in six hospitals. The data were collected by a structured questionnaire from January 20 to April 30 of 2006. The data were analyzed by SAS version 8.2, including descriptive statistics, Pearson correlation coefficient, and stepwise multiple regression. Results: The mean score of group performance was 3.38 and team learning climate was 4.89. The group performance was positively correlated with team learning climate(r=.40, p<.0001). The team learning climate explained 15% of the variance in group performance. Conclusion: The findings showed that team learning climate was an important factor in enhancing group performance in nursing organization. Therefore, the nurse manager will establish the strategies to improve the team learning climate of the nurses in order to promote organizational performance.

• 공학교육연구
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• 제16권2호
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• pp.11-23
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• 2013

The main purpose of this study was to examine the mediating effect of participation motivation of continuing professional development between the level of organizational learning transfer climate and learning transfer. In the analysis of the relationship among the level of the organizational learning transfer climate, learning transfer and participation motivation of CPD, organizational learning transfer climate had indirect influence on learning transfer through participation motivation of CPD. Based upon the findings of this study, several suggestions were made to improve professional engineers' participation and learning transfer in CPD and implement future research on professional engineer's CPD.

• 간호행정학회지
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• 제19권2호
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• pp.282-291
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• 2013

Purpose: The purpose of this study was to identify clusters of nursing competency, and investigate the influence of reflective thinking, team learning climate, and learning organization building according to nursing competency clusters. Methods: Participants were 244 clinical nurses who worked in 4 general hospitals in Gwangju Metropolitan City. Data were collected by self-report questionnaires during June and July, 2011. Nursing competency, levels of reflection hierarchy, team learning climate, and learning organization building were measured. Data were analyzed using frequencies, means, t-test, one-way ANOVA, Pearson correlation coefficients, and K-means cluster analysis with SPSS/WIN 20.0 version. Results: Nursing competency correlated positively with intensive reflection, reflection, team learning climate, and learning organization building (p<.001). There were three clusters of nursing competency in a clinical ladder, which were derived from cluster analysis, grouped as high, middle, and low competency. Intensive reflection, reflection, team learning climate, and learning organization building showed significant differences according to grouping of nursing competency. Conclusion: The results indicate that developing intensive reflection, reflection, team learning climate, and learning organization building would be useful strategies for enhancement of nursing competency.

• 한국초등과학교육학회지:초등과학교육
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• 제43권1호
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• pp.158-169
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• 2024

본 연구에서는 기후변화와 프로젝트 수업이 초등학생의 기후변화에 대한 인식 및 태도, 환경소양에 어떠한 영향을 미치는지 알아보았다. 이를 위하여 광역시 소재의 초등학교 6학년 학생 174명(남학생 77명, 여학생 97명)의 학생을 대상으로 12차시 분량의 기후변화 프로젝트 수업을 실시한 후 학생들의 기후변화에 대한 인식 및 태도, 환경소양 수준의 변화를 분석하였다. 연구 결과, 기후변화 프로젝트 수업은 초등학생의 기후변화에 대한 인식 및 태도에 긍정적인 영향을 미쳤다. 프로젝트 학습 과정에서 기후변화 문제와 관련하여 서로 조사한 내용을 공유하고 소통하면서 학생들의 기후변화에 대한 인식 및 태도가 함양된 것으로 판단된다. 또한 기후변화 프로젝트 수업은 초등학생의 환경소양에 긍정적인 영향을 미쳤다. 구체적으로 환경태도 및 가치, 환경 친화적 행동 영역에서는 긍정적인 변화가 관찰되었지만 환경감수성 영역에서는 유의한 변화가 나타나지 않았다. 본 연구는 과학 및 환경 관련 교육학 분야에서 강조되고 있는 기후변화 문제를 소재로 한 기후변화 프로젝트 수업의 교육적 효과를 논의하고 시사점을 제안했다는 점에서 의미가 있다.

• 한국초지조사료학회지
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• 제43권3호
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• pp.190-198
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• 2023

This study was conducted to calculate the damage of Italian ryegrass (IRG) by abnormal climate using machine learning and present the damage through the map. The IRG data collected 1,384. The climate data was collected from the Korea Meteorological Administration Meteorological data open portal.The machine learning model called xDeepFM was used to detect IRG damage. The damage was calculated using climate data from the Automated Synoptic Observing System (95 sites) by machine learning. The calculation of damage was the difference between the Dry matter yield (DMY)_normal and DMY_abnormal. The normal climate was set as the 40-year of climate data according to the year of IRG data (1986~2020). The level of abnormal climate was set as a multiple of the standard deviation applying the World Meteorological Organization (WMO) standard. The DMY_normal was ranged from 5,678 to 15,188 kg/ha. The damage of IRG differed according to region and level of abnormal climate with abnormal temperature, precipitation, and wind speed from -1,380 to 1,176, -3 to 2,465, and -830 to 962 kg/ha, respectively. The maximum damage was 1,176 kg/ha when the abnormal temperature was -2 level (+1.04℃), 2,465 kg/ha when the abnormal precipitation was all level and 962 kg/ha when the abnormal wind speed was -2 level (+1.60 ㎧). The damage calculated through the WMO method was presented as an map using QGIS. There was some blank area because there was no climate data. In order to calculate the damage of blank area, it would be possible to use the automatic weather system (AWS), which provides data from more sites than the automated synoptic observing system (ASOS).

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2021년도 학술발표회
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• pp.97-97
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• 2021

Hydrometeorological variables contain highly complex system for temporal revolution and it is quite challenging to illustrate the system with a temporal linear and nonlinear models. In recent years, deep learning algorithms have been developed and a number of studies has focused to model the complex hydrometeorological system with deep learning models. In the current study, we investigated the temporal structure inside deep learning models for the hydrometeorological variables such as streamflow and climate indices. The results present a quite striking such that each hidden unit of the deep learning model presents different dependence structure and when the number of hidden units meet a proper boundary, it reaches the best model performance. This indicates that the deep dependence structure of deep learning models can be used to model selection or investigating whether the constructed model setup present efficient or not.

• 한국실내디자인학회논문집
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• 제25권6호
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• pp.15-22
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• 2016

Recent changes in the Korean education policies are promoting the advances in science and technology and cultivating people of convergence talent. STEAM (science, technology, engineering, art and math) educational program is Korean styled convergence program for creative competent human resources. Therefore, Therefore the aim of this study is developing convergence hand-on educational program coping with climate change for elementary school students. For development of the program, we investigated the curriculum of the elementary school about the climate change, and allocated in the creative learning standard frame. Also, we selected themes related the climate change in the curriculum and learning activity. For more effective program to build the convergence competency, we analyzed the program based on creative problem based learning process and 4 core competency(creativity, communication, convergence, caring) elements. In conclusion, the STEAM program needs to develop by school curriculum and leaner's ability. For elementary school students, the STEAM program consists with creative problem based learning process. And the convergence educational program would analyze by the creative PBL process and convergence competency elements. So, this developing program has brought the promotion of the creative convergence competent talented person for the future global environment.

• 지식경영연구
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• 제18권4호
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• pp.31-62
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• 2017

It found that employee silence negatively impacts both organizations and their employees as shown in findings from many studies and recently there has been a growing interest in it. Silence is described as intentionally withholding job-related ideas, information, concerns, and opinions. Employee silence may decrease organizational change and innovation and reduce employee learning motivation and knowledge sharing engagement as well. The purpose of this study is to examine the relationships among silence motivations, perceived silence climate, and employee silence; the relationships among employee silence, learning inertia and knowledge sharing disengagement; the mediating role of employee silence between antecedents of employee silence and consequences additionally. The results that analyzed using data from 225 employees in 42 organizations are as follows. First, the impact of silence motivation and perceived silence climate on employee silence are positively significant. Second, the influence of defensive silence motivation on the acquiescent and relational silence motivation is positively significant. Third, the influence of employee silence on learning inertia and knowledge sharing disengagement is positively significant. Forth, employee silence mediates the relationship between silence motivation and perceived silence climate and learning inertia and knowledge sharing disengagement. These results suggest that employee silence is another strong expression and message for organizations to try to establish a learning organization from the perspective of knowledge management.

• 한국콘텐츠학회논문지
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• 제19권6호
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• pp.605-619
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• 2019

본 연구는 중학생이 지각한 학급풍토와 자기조절학습능력과의 관계에서 자기결정성동기의 매개효과를 검증하고자 하였다. 이를 위해 본 연구는 중학생 589명의 자료를 사용하여 지각된 학급풍토가 자기결정성동기를 매개로 자기조절학습능력에 미치는 구조방정식모형을 검증하였다. 연구결과 첫째, 중학생이 지각하는 자율지향적 학급풍토가 자기조절학습능력에 미치는 효과를 살펴본 결과, 지각된 자율지향적 학급풍토는 자기결정성동기 유형 중에서 확인된 조절을 매개로 간접효과가 있음을 확인하였다. 둘째, 중학생이 지각하는 통제적 학급풍토가 자기조절학습능력에 미치는 효과를 살펴본 결과, 지각된 통제적 학급풍토가 확인된 조절, 부과된 조절과 외적조절을 매개로 자기조절학습능력에 영향을 미치는 것을 확인하였다. 이러한 결과는 학업에 대한 자기결정성을 높이는 것이 자기조절학습능력 향상을 위한 효과적인 교육적 개입이 될 것을 시사한다.

• 디지털융복합연구
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• 제20권5호
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• pp.897-908
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• 2022

본 연구의 목적은 개인의 학습 자기효능과 기업의 혁신적 지식전달과 같은 학습전이풍토가 디자이너의 특성을 고려한 디자인 역량강화교육과 개인성과와의 관계에서 매개역할을 할 것이라는 가설을 증명하는 것에 있다. 이는 단순히 교육의 만족도를 조사하는 기존의 연구와는 달리 디자이너의 특성에 근거한 학습 자기효능감과 디자이너가 조직의 문화에 영향을 주는 학습전이 풍토에 대한 정량적 분석을 하여 디자인 교육훈련의 의미를 확장하는데 의의가 있다. 구체적으로 본 연구에서는 7개의 가설을 설정하였고, 그 결과 디자이너 대상 디자인 역량강화 교육과 학습 자기효능감, 기업의 학습전이풍토는 개인성과에 유의한 영향을 미치는 것으로 나타났다.