• The Journal of Korean Academic Society of Nursing Education
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• v.20 no.3
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• pp.413-423
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• 2014

Purpose: The purpose of this study was to investigate the relations among emotional intelligence, interpersonal relationship, and job satisfaction among clinical nurses. Methods: Data were collected from 315 nurses who had worked for more than 6 months at five general hospitals by a self-reported questionnaire. The collected data were analyzed with descriptive statistics, t-test, ANOVA, Scheffe-test, Pearson's correlation, and hierarchial regression using SPSS 18.0 program. Results: The mean score of emotional intelligence was 3.42 and the score of self emotional appraisal was the highest. The mean score of interpersonal relationship was 3.44 and the score of intimacy was the highest. The mean score of job satisfaction was 3.04. Emotional intelligence and interpersonal relationship were positively correlated with the job satisfaction. Hierarchial multiple regression analysis showed that use of emotion was the main factor of affecting job satisfaction, which explained 30.8% of the variance for the nurses' job satisfaction together with intimacy, regulation of emotion, position, and monthly salary. Conclusion: These findings indicated that emotional intelligence and interpersonal relationship, especially use and control of emotion and intimacy contributed to nurses' job satisfaction. It is necessary to develop and implement the program for increasing emotional intelligence and interpersonal relationship for improving job satisfaction.

• Journal of the Korean Society of Food Culture
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• v.27 no.4
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• pp.354-366
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• 2012

The objective of this study was analyze the relationship among emotional intelligence, job attitude (job satisfaction, organizational commitment, turnover intention), and organizational performance in kitchen staff. A survey collected data from foodservice employees (N=611). Statistical analyses were completed using SPSS Win (17.0) for descriptive analysis, reliability analysis, factor analysis, t-test, correlation analysis, and AMOS (7.0) for confirmatory factor analysis and structural equation modeling. The main results of this study were as follows. The four EI (Emotional Intelligence) dimensions significantly correlated with age. The mean of the job satisfaction score was 3.24. The organizational commitment score was 3.54. The organizational commitment score was higher for 'loyalty' factor than for 'sense of belongs' factor. The mean of organizational performance score was 3.61. The four EI(Emotional Intelligence) factors were significantly correlated with job satisfaction (organizational commitment, organizational performance, and turnover intension). Structural equation modeling found that emotional intelligence had positive effects on job satisfaction, organizational commitment, and organizational performance, whereas job satisfaction and organizational performance had positive effects on organizational performance. Therefore, this study found that emotional intelligence had direct and indirect effects on organizational performance.

• The Journal of Korean Academic Society of Nursing Education
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• v.22 no.4
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• pp.504-513
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• 2016

Purpose: The purpose of this study was to identify the mediating effect of self-efficacy in the relationship between emotional intelligence and clinical performance in nursing students. Methods: Data were collected through structured questionnaires between March 1 and March 25, 2016. Study participants were 223 fourth year nursing students in B and K metropolitan city. Data were analyzed using t-test, ANOVA, Scheffe' test, Pearson's correlation coefficients, and hierarchical multiple regression with SPSS WIN v 18.0. Results: The mean scores of emotional intelligence was $3.85{\pm}0.43$, self-efficacy was $3.25{\pm}0.40$, and clinical performance was $3.63{\pm}0.51$. There were significant positive correlations between emotional intelligence, self-efficacy and clinical performance. There were partial mediating effect of self-efficacy in the relationship between emotional intelligence and clinical performance. Conclusion: In order to enhance nursing students' clinical performance, strategies for intervention development such as stimulating emotional intelligence and motivation by self-efficacy are necessary.

• The Journal of Korean Academic Society of Nursing Education
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• v.20 no.4
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• pp.502-512
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• 2014

Purpose: The purpose of this study is to identify differences in stress levels and stress coping strategies according to the degree of emotional intelligence in nursing students. Method: Study participants included 367 nursing students from three universities in Gyeonggi and Chungnam provinces. Data were collected through a self-administered questionnaire in December 2012 and subsequently analyzed via the IBM SPSS 20.0 program with descriptive statistics, independent t-tests, one-way ANOVA and Scheffe tests. Results: The emotional intelligence of nursing students was slightly higher than average. Perceived stress and clinical practice stress among nursing students were high and nursing students used more problem-focused compared to emotion-focused coping strategies. Nursing students who had a higher level of emotional intelligence exhibited lower levels of perceived stress (t=2.26, p=.025) and clinical practice stress (t=9.37, p<.001) and more used problem-focused coping strategies (t=-7.56, p<.001) than those who had a lower level of emotional intelligence. Conclusion: These results suggest that nursing interventions to improve the emotional intelligence of nursing students are necessary to manage stress more effectively.

• Journal of the Korean Society for information Management
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• v.28 no.1
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• pp.263-283
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• 2011

Business Intelligence(BI) is being used by the individuals who make decisions for management. Dashboard supports business intelligence by visualizing data, information, and knowledge so that they can be grasped at a glance. In this study, applications of dashboard were analyzed in the ARL libraries websites. Furthermore, the study suggested methods to establish and use the information system of the business intelligence and dashboard on the academic library websites in Korea. The findings of this study are expected to serve as the basic data to utilize the business intelligence and dashboard as a tool with which Korean academic libraries can demonstrate their value to the stakeholders in the academic community.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.461-463
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• 2023

MZ세대를 중심으로 자기관리를 열심히 하는 사람들이 증가함에 따라 화장의 기본이 되는 개인 피부톤(퍼스널 컬러)을 찾는 것이 중요시되고 있다. 현재 대다수 사람은 자신에게 어울리는 퍼스널 컬러를 찾기 위해 높은 비용을 지불하여 전문가를 이용하거나 객관적이고 정량화된 기준 없이 오랜 시간을 투자하여 스스로 퍼스널 컬러를 찾는 등 시간과 비용 측면에서의 한계점을 가지고 있다. 본 논문에서는 이를 보완하기 위해 이미지 기반 인공지능 기술(객체 탐지, 객체 분할, BeautyGAN)을 적용하여 데이터 기반의 정량적인 기준을 생성하고, 퍼스널 컬러에 알맞은 화장품 추천 웹 서비스를 제안한다.

• Journal of Information Technology Applications and Management
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• v.30 no.1
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• pp.53-70
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• 2023

Artificial intelligence has become familiar with modern society, not the distant future. As artificial intelligence and machine learning developed more highly and became more complicated, it became difficult for people to grasp its structure and the basis for decision-making. It is because machine learning only shows results, not the whole processes. As artificial intelligence developed and became more common, people wanted the explanation which could provide them the trust on artificial intelligence. This study recognized the necessity and importance of explainable artificial intelligence, XAI, and examined the trends of XAI research by analyzing social networks and analyzing topics with IEEE published from 2004, when the concept of artificial intelligence was defined, to 2022. Through social network analysis, the overall pattern of nodes can be found in a large number of documents and the connection between keywords shows the meaning of the relationship structure, and topic modeling can identify more objective topics by extracting keywords from unstructured data and setting topics. Both analysis methods are suitable for trend analysis. As a result of the analysis, it was found that XAI's application is gradually expanding in various fields as well as machine learning and deep learning.

• Education of Primary School Mathematics
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• v.27 no.1
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• pp.19-38
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• 2024

This study aims to analyze the characteristics of students' understanding of artificial intelligence and mathematical concepts by developing and applying an artificial intelligence education program for mathematics convergence using robots. To this end, we analyzed the content standards of elementary artificial intelligence education to extract conceptual elements of artificial intelligence and identified mathematics achievement standards that can effectively integrate them. In particular, a five-session (15 classes in total) program was developed by selecting the units 'angle' and 'quadrilateral' suitable for utilizing the robot's movement and reorganizing the lesson to integrate the mathematics achievement standard with the artificial intelligence content elements. As a result of applying this to 22 fourth grade elementary school students over five months and analyzing the students' understanding revealed by topic of artificial intelligence content, the artificial intelligence education program for mathematics convergence using robots was helpful in students' understanding artificial intelligence principles and mathematical concepts. In addition, the use of robots was confirmed to improve students' understanding of artificial intelligence and mathematics as well as their participation in class by making them visually check a series of performing procedures.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1997.04a
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• pp.14-19
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• 1997

Emotional intelligence and aesthetic aspects of traditional Korean music, Kuk Ak, are investigated in terms of fractal relationship. The exploration of Kuk Ak in the view of an intelligence paradigm will restore the balanced sense of art and science which seeks happiness in life.

• Journal of Korean Academy of Nursing
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• v.44 no.6
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• pp.682-696
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• 2014

Purpose: This study was conducted to develop and test the effects of an emotional intelligence program for undergraduate nursing students. Methods: The study design was a mixed method research. Participants were 36 nursing students (intervention group: 17, control group: 19). The emotional intelligence program was provided for 4 weeks (8 sessions, 20 hours). Data were collected between August 6 and October 4, 2013. Quantitative data were analyzed using Chi-square, Fisher's exact test, t-test, repeated measure ANOVA, and paired t-test with SPSS/WIN 18.0. Qualitative data were analyzed using content analysis. Results: Quantitative results showed that emotional intelligence, communication skills, resilience, stress coping strategy, and clinical competence were significantly better in the experimental group compared to the control group. According to the qualitative results, the nursing students experienced improvement in emotional intelligence, interpersonal relationships, and empowerment, as well as a reduction in clinical practice stress after participation in the emotional intelligence program. Conclusion: Study findings indicate that the emotional intelligence program for undergraduate nursing students is effective and can be recommended as an intervention for improving the clinical competence of undergraduate students in a nursing curriculum.