• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.5
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• pp.885-892
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• 2018

A series of revolutionary industrial changes took place from the 18th century of the First Industrial Revolution. The fourth industrial revolution is a new industrial revolution in which intelligence and information unite. Social, cultural, economic and educational systems are expected to emerge within the category of access and experience. In the course of intelligent mechanization, manpower and machinery need to be commandeered. Tools should be left to the machine and humans should look at essential issues. In the 4th Industrial Revolution, the paradigm of education should fundamentally change. Instead of routine technologies based on memorization, one should learn how to access and utilize. It needs to focus on areas of debate, cooperation, communication, sensibility, and artistry that robots and artificial intelligence can not afford. The fourth industrial revolution is the fusion of human beings and technology, the humanities and the technology.

• Journal of Digital Convergence
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• v.16 no.12
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• pp.449-457
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• 2018

This study examined the effect of communication competency and job stress of nurses working in long term care hospitals on turnover intention and to verify the effect of emotional intelligence control on the relationship among communication competency, job stress and turnover intention. The subjects consisted of 240 nursing students, and data were collected during from February 1 to February 28, 2018. The data were analyzed with descriptive statistics and Pearson's correlations that used IBM SPSS WIN 20.0 program and the analysis of control effect was made by using Hierarchical Multiple Regression Analysis. The result of this study can be summarized as follows. The turnover intention was positively correlated with job stress. The factors which had effect on turnover intention were pay satisfaction, job stress and age. Based on the results of this study, it is necessary to develop a systematic program that reflects clinical characteristics and education in order to reduce the turnover intention of the nurse.

• The Journal of Korean Academic Society of Nursing Education
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• v.17 no.1
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• pp.80-89
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• 2011

Purpose: The purpose of this study was to discover the effect of emotional intelligence on organizational performance in clinical nurses regarding anger expression, job satisfaction, job commitment, and turnover intention. Methods: Data were collected by self-administered questionnaires from 162 clinical nurses in three university hospitals in 2008, and analyzed by the SPSS 14.0 Window program, using descriptive statistics, pearson correlation, and stepwise multiple regression. Results: Emotional intelligence showed a statistically significant association with each of anger expression-in, anger expression-control, job satisfaction, job commitment, turnover intention, and organizational performance. The multiple regression analysis also showed that organizational performance was statistically significant with job satisfaction, job commitment, and emotional intelligence respectively. 38.0% of the variation of organizational performance was explained by these variables. Conclusion: Emotional intelligence significantly affected organizational performance together with job satisfaction and job commitment. From this result, it could be concluded that nursing interventions for emotional intelligence have a positive effect on improving organizational performance. Further studies are needed to develop nursing intervention programs for emotional intelligence and test its effects on organizational performance.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.5
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• pp.157-174
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• 2020

The purpose of this study is to examine the effects of personal characteristics and social entrepreneurship on social entrepreneurship intention, and to determine whether the moderating effect of gender influences on the relationship between personal characteristics and social entrepreneurship. In order to achieve these research objectives, the personal characteristics affecting social entrepreneurship were identified with moral obligation, self-efficacy, and emotional intelligence. Also, prior studies on social entrepreneurship and social enterprise entrepreneurship intention were reviewed. As a result of the study, we find that moral obligation, self-efficacy, and emotional intelligence all had a positive effect on social entrepreneurship. Second, social entrepreneurship had a positive effect on social enterprise entrepreneurship intentions. Third, analyzing the moderating effect of men and women in the relationship between personal characteristics and social entrepreneurship, it was found that there was a difference in the value of the path coefficient representing the relationship between moral obligation and social entrepreneurship. However, there was no moderating effect in the relationship between self-efficacy, emotional intelligence, and social entrepreneurship by gender. Therefore, this study is expected to serve as a reference for people who want to start a social enterprise in the future to verify their characteristics and use them as a way to improve their social entrepreneurship.

• Journal of the Korean Society of Food Science and Nutrition
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• v.36 no.4
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• pp.488-498
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• 2007

The purposes of this study were to: a) provide evidences concerning the effects of emotional leadership b) examine the impacts of emotional leadership on employee-related variables, 'job satisfaction', 'organizational commitment', 'organizational performance' and 'turnover intention', and c) identify a conceptual framework underlying emotional leadership. A survey was conducted from August 23 to November 3, 2005 to collect data from mid-level managers in food service company headquarters (N=219). Statistical analyses were completed using SPSS Win (12.0) for descriptive, reliability, factor and correlation analyses and AMOS (5.0) for confirmatory factor analysis and structural equation modeling. The main results of this study were as follows. First, the managers gave the highest point to their leaders in the emotional leadership competence 'organizational awareness : reading the currents, decision networks, and politics at the organizational level' and gave the lowest point in the emotional leadership competence 'influence: wielding effective tactics for persuasion'. Second, the means of job satisfaction was above the midpoint (3 points). Employees' job satisfaction with 'coworkers' was relatively high. However, the extents of satisfaction with 'payroll' 'promotion', and 'work environment' were relatively low. Third, the organizational commitment was above the midpoint (3 points). In the organizational commitment, 'loyalty' factor was higher than 'commitment' factor. Fourth, the means of organizational performance was above the midpoint. The highest organizational performance variable was 'internal efficiency; trying to reduce cost' and the lowest organizational performance variable was 'internal fairness ; equitable treatment and all are treated with respect with no regard to status and grade'. Fifth, most respondents intended on 'thinking of quitting ; towards turnover process'. Sixth, the test of hypothesis using structural equation modeling found that emotional leadership produced p[Isitive effects on job attitude and job performance. Emotional leadership enhanced job satisfaction and organizational commitment, and in turn, employees' attitude positive effects on organizational performance; emotional leadership also had a direct impact on organizational performance

• Proceedings of The KACE
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• 2017.08a
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• pp.253-256
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• 2017

딥러닝으로 만들어진 모델의 내부는 black box와 같은 특성을 가져 동작 규칙을 알기 어렵다. 최근 기계학습의 발전으로 인공지능이 전보다 더 복잡한 문제를 해결할 수 있으나 위와 같은 이유로, 모델이 내린 판단의 근거를 알기 어렵다. 그러므로 딥러닝의 동작 규칙을 사람이 이해할 수 있는 형식으로 나타내려는 노력이 필요하다. 본 연구에서는 Attention과 LIME 기법을 활용하여 IMDB 데이터를 감성 분석한 순환신경망의 의사결정 요인을 분석하였다. 각 기법을 활용했을 때의 장단점과 실제 구현에 있어 등장하는 문제에 대해 알아보고자 한다.

• Journal of Industrial Convergence
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• v.21 no.11
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• pp.135-145
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• 2023

The purpose of this study is to investigate the effect of a forest experience program on the lung capacity, health & fitness, emotional intelligence, and psychological well-being of local children.This study was conducted on 3rd and 4th grade elementary school students for 12 weeks from July 10 to September 30, 2022, at a local children's center in D City. Changes were analyzed and verified using t-test. Verified. The changes in the lung capacity, health & fitness, emotional intelligence, and psychological well-being of the experimental group and the control group were analyzed and verified using t-test.For the changes in lung capacity and health & fitness, there was a statistically significant difference between the control group and the experimental group in lung capacity (t=24.56, p<.05), and there was also a statistically significant difference between the two groups in cardiorespiratory endurance among the elements of health & fitness (t=16.64, p<.05). As for the changes in emotional intelligence and psychological well-being, there was statistically significant differences between the experimental group and the control group in the emotional intelligence (t=2.31, p<.05) and in psychological well-being (t=3.21, p<.05). Through this study, the positive effects of the forest experience program were confirmed, and it is believed that institutional arrangements are needed to improve children's participation conditions by expanding forest experience education spaces and developing customized forest experience programs to suit the characteristics of the region.

• Journal of Korean Home Economics Education Association
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• v.34 no.4
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• pp.93-111
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• 2022

This study started with the question of 'What innovative task should elementary and secondary school clothing life education perform in accordance with the changes in the future educational environment?' It is time to prepare for a major shift in the educational paradigm that improves the quality of life for all everyone, based on social innovations such as the 4th industrial revolution and the transition to the post-corona era. This study examined the literature for the characteristics of changes in the future educational environment from an educational perspective, and examined the curriculum focusing on the clothing life with the porpose of presenting the direction for the clothing life education. In order to carry out this study, various literature including previous studies related to clothing life education and the national curriculum from the first curriculum to the 2015 revision were analyzed. In conclusion, the direction of the clothing life education curriculum according to the changes in the future educational environment is proposed as follows: First, nurturing convergence education experts that can combine human emotion, environment, and clothing life culture to artificial intelligence(AI); second, developing a clothing life education curriculum that links software competency and practical problem-solving competency; and lastly, implementing fashion maker education using artificial intelligence(AI) and value-oriented clothing life education. In the future, it is expected that the direction of teaching/learning methods and evaluation in clothing life education curriculum is proposed, and that this educational discussion process will help establish the identity of clothing life education in school education.

• Informatization Policy
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• v.24 no.4
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• pp.3-16
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• 2017

With the development of social media services in the era of Web 2.0, the public opinion formation site has been partially shifted from the traditional mass media to social media. This phenomenon is continuing to expand, and public opinions on government polices created and shared on social media are attracting more attention. It is particularly important to grasp public opinions in policy formulation because setting up educational policies involves a variety of stakeholders and conflicts. The purpose of this study is to explore public opinions about education-related policies through an empirical analysis of social media documents on education policies using opinion mining techniques. For this purpose, we collected the education policy-related documents by keyword, which were produced by users through the social media service, tokenized and extracted sentimental qualities of the documents, and scored the qualities using sentiment dictionaries to find out public preferences for specific education policies. As a result, a lot of negative public opinions were found regarding the smart education policies that use the keywords of digital textbooks and e-learning; while the software education policies using coding education and computer thinking as the keywords had more positive opinions. In addition, the general policies having the keywords of free school terms and creative personality education showed more negative public opinions. As much as 20% of the documents were unable to extract sentiments from, signifying that there are still a certain share of blog posts or tweets that do not reflect the writers' opinions.

• The Journal of the Korea Contents Association
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• v.20 no.10
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• pp.89-99
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• 2020

In this study, we tried to produce moving-image works through sentiment analysis of music. First, Google natural language API was used for the sentiment analysis of lyrics, then the result was applied to the image visualization rules. In prior engineering researches, text-based sentiment analysis has been conducted to understand users' emotions and attitudes by analyzing users' comments and reviews in social media. In this study, the data was used as a material for the creation of artworks so that it could be used for aesthetic expressions. From the machine's point of view, emotions are substituted with numbers, so there is a limit to normalization and standardization. Therefore, we tried to overcome these limitations by linking the results of sentiment analysis of lyrics data with the rules of formative elements in visual arts. This study aims to transform existing traditional art works such as literature, music, painting, and dance to a new form of arts based on the viewpoint of the machine, while reflecting the current era in which artificial intelligence even attempts to create artworks that are advanced mental products of human beings. In addition, it is expected that it will be expanded to an educational platform that facilitates creative activities, psychological analysis, and communication for people with developmental disabilities who have difficulty expressing emotions.