• Journal of The Korean Association of Information Education
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• v.23 no.2
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• pp.189-196
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• 2019

Artificial intelligence has begun to be used in various parts of our lives, and recently its sphere has been expanding. However, students tend to find it difficult to recognize artificial intelligence technology because education on artificial intelligence is not being conducted on elementary school students. This paper examined the teaching programming language and artificial intelligence teaching methods, and looked at the changes in students' attitudes toward artificial intelligence technology by conducting education on artificial intelligence. To this end, education on block-type programming language-based artificial intelligence technology was provided to students' level. And we looked at students' attitudes toward artificial intelligence technology through a single group pre-postmortem. As a result, it brought about significant improvements in interest in artificial intelligence, possible access to artificial intelligence technology and the need for education on artificial intelligence technology in schools.

• Korean Journal of Social Welfare
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• v.69 no.1
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• pp.79-101
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• 2017

The purpose of this study is to identify the multicultural competence of university students majoring in social welfare studies and to verify the influence of human rights attitude and spiritual intelligence that affect multicultural competence using structural equation model. Spiritual intelligence was set as an independent variable and multicultural competence was set as a dependent variable. Human rights attitude was established as a mediating variable. Study subjects were 259 university students majoring in social welfare studies at 5 universities in the Daegu, Gyoungbuk area. Spiritual intelligence and human rights attitude appeared to have a significant effect on multicultural competence, indicating that a higher level of spiritual intelligence and human rights attitude were correlated with a higher level of human rights attitude. Also in the pathway of spiritual intelligence on multicultural competence, human rights attitude had a significant mediating effect. When the university student majoring in social welfare studies had a high level of spiritual intelligence including transcendence and meaning and purpose of life, their perspective on human rights which is important in the practice of social welfare affected the multicultural competence required to assist immigrants of various identities. Based on the findings of the study, it is recommended for the university students majoring in social welfare to have the "three-multi-sensitivities" including sensitivity of multicultural competence, sensitivity of spiritual intelligence, and sensitivity of human right attitude.

• The Research Journal of the Costume Culture
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• v.22 no.5
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• pp.794-808
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• 2014

This research aimed to examine the effect of emotional dissonance and emotional intelligence on the prosocial behavior of fashion salespeople in department stores, and whether emotional intelligence mediates the relationship between emotional dissonance and prosocial behavior. Moreover, we aimed to suggest a method to improve the prosocial behavior of salespeople as a strategy to obtain a continuous competitive advantage in an increasingly competitive fashion distribution environment. This research was conducted through a questionnaire survey, and 345 responses were collected from department store salespeople for the final analysis. First, the analysis results showed that the emotional dissonance of salespeople arose from their dealings with their organization and with customers. Prosocial behavior was deduced to be a factor of the cooperation with coworker and extra-role customer service. The emotional intelligence was deduced to be a factor of the use of emotion, regulation of emotion, self-emotion appraisal, and others'emotion appraisal. Second, with a higher level of emotional dissonance against the organization, there was less cooperation with coworker, while a higher emotional dissonance against customers resulted in increased cooperation with coworker. Third, it appeared that with a higher level of emotional dissonance against the organization, there was a higher utilization of use of emotion, self-emotion appraisal, and others'emotion appraisal of emotional intelligence. Fourth, as the regulation of emotion, self-emotion appraisal, and use of emotion were higher, there was more cooperation with coworker, whereas an increase in the utilization of one's own emotion and emotional control resulted in a higher level of extra-role customer service. Finally, emotional intelligence has a significant mediating effect between emotional dissonance and prosocial behavior. The above results suggest that for department stores to improve the prosocial behavior of their sales staff requires the establishment of a method to enhance the emotional intelligence of the staff. The results also indicate that there is a need for department stores to prepare a systemic tool to enable them to select people with a high degree of emotional intelligence when recruiting salespeople.

• Journal of The Korean Association of Information Education
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• v.23 no.6
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• pp.675-687
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• 2019

As interest in artificial intelligence increases, each university has been establishing a special graduate school with artificial intelligence major, and recently, the Korea government has established various support policies for artificial intelligence education. However, each university has a lot of difficulties because it has little experience in operating graduate education with the latest field of artificial intelligence and it is not easy to find experts. In this study, the response of graduate school students majoring in artificial intelligence was analyzed using IPA technique, and the direction of education of graduate school artificial intelligence major was searched. Among the 40 items surveyed by IPA, 12 items such as systematization of artificial intelligence curriculum, progress of class considering learning level, improvement of academic relations with guidance professors were extracted as items to be improved first. On the other hand, 8 items such as assistant capacity, and relationship with colleagues were overloaded, and twelve items such as instructor's lecture competency, appropriateness of educational contents, learner's artificial intelligence skills and knowledge, and attitude acquisition were to be maintained. In addition, eight items such as convergence education curriculum and diversity of education methods were all low in importance and performance. It is suggested that AI graduate school should be divided into two tracks(technical specialization, convergence expansion) by educational goal, and each track should be conducted by level-specific educational contents and methods suitable for student level. The curriculum should be elaborate and systematic to acquire AI knowledge, skills, and attitudes, and should have an individualized guidance system centered on excellent faculty members.

• 제어로봇시스템학회:학술대회논문집
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• 1993.10b
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• pp.115-120
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• 1993

It is difficult to establish a mathematical furnace model and automatic-fumace control because of the difficulty in direct measurement of the inner condition of a blast furnace. To solve this problem, we has developed and actually operated a blast furnace operation control system using artificial intelligence tool to be applied to the blast furnace process computer system. Since this system has a function of automatic Treat level control, higher practicality has been proved than the previous guidance-level expert system. This paper introduces an outline of the system and the result of application.

• The Journal of the Korea Contents Association
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• v.14 no.7
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• pp.291-301
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• 2014

This study is a descriptive research of investigating the correlation between new nurses' nursing performance, emotional intelligence, self-resiliency and core self-evaluation. The subjects were 114 new nurses working for less than 12 months at two different hospitals with over 800 beds located in Gyeonggi-do. Between July and November, this study collected the data measured by using a structured questionnaire survey for nursing performance, emotional intelligence, self-resiliency and core self-evaluation. As a result, it was found that there was a difference in the degree of nursing performance according to new nurses' education level, job satisfaction, and working position task satisfaction, and that the higher the emotional intelligence, self-resiliency and core self-evaluation were, the better the nursing performance was. As for emotional intelligence, education level, core self-evaluation and job satisfaction, it was found that they were variables to well predict the degree of nursing performance, and explained 33% of variance in nursing performance. Accordingly, it is necessary to provide actual field-adaptive training education including emotional intelligence and core self-evaluation other than nursing performance from new nurses' orientation in consideration of education degree and job satisfaction.

• The Journal of Korean Association of Computer Education
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• v.23 no.2
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• pp.13-20
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• 2020

The interest in artificial intelligence is due to an increase in influence on companies, organizations, daily lives and society. The purpose of this study is to analyze the key elements in the teaching subjects of artificial intelligence-related subjects of Korean universities based on the intelligent system area of Computer Science 2013 in terms of human resources development. According to the analysis, there are five out of nine universities that run the required courses. Based on the 12 detailed knowledge domains of intelligent systems, the compulsory subjects of universities are distributed in the field of basic search theory, basic knowledge expression and reasoning, and inference based on uncertainty. The elective courses of each university covered topics in five to eight areas of the total knowledge area of the intelligent system, with 69.9 percent of universities with the highest average ratio of areas involving the subject of teaching subjects and 46.3 percent of universities with the lowest. This study has implications for the fact that prior to entering an artificial intelligence graduate school, we were able to grasp the level of knowledge about artificial intelligence at the undergraduate level.

• Journal of Internet Computing and Services
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• v.25 no.2
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• pp.11-19
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• 2024

This paper was studied abouta technology for detecting damage to temporary works equipment used in construction sites with explainable artificial intelligence (XAI). Temporary works equipment is mostly composed of steel or aluminum, and it is reused several times due to the characters of the materials in temporary works equipment. However, it sometimes causes accidents at construction sites by using low or decreased quality of temporary works equipment because the regulation and restriction of reuse in them is not strict. Currently, safety rules such as related government laws, standards, and regulations for quality control of temporary works equipment have not been established. Additionally, the inspection results were often different according to the inspector's level of training. To overcome these limitations, a method based with AI and image processing technology was developed. In addition, it was devised by applying explainableartificial intelligence (XAI) technology so that the inspector makes more exact decision with resultsin damage detect with image analysis by the XAI which is a developed AI model for analysis of temporary works equipment. In the experiments, temporary works equipment was photographed with a 4k-quality camera, and the learned artificial intelligence model was trained with 610 labelingdata, and the accuracy was tested by analyzing the image recording data of temporary works equipment. As a result, the accuracy of damage detect by the XAI was 95.0% for the training dataset, 92.0% for the validation dataset, and 90.0% for the test dataset. This was shown aboutthe reliability of the performance of the developed artificial intelligence. It was verified for usability of explainable artificial intelligence to detect damage in temporary works equipment by the experiments. However, to improve the level of commercial software, the XAI need to be trained more by real data set and the ability to detect damage has to be kept or increased when the real data set is applied.

• Journal of Families and Better Life
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• v.24 no.1 s.79
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• pp.209-221
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• 2006

The purpose of this study was to investigate emotional intelligence and stress coping styles of adolescents. The study also identified the differences of emotional intelligence and stress coping styles between normal adolescents and juvenile delinquents. The subjects in this study were 447 adolescents included 249 normal adolescents and 198 juvenile delinquents. The major findings as follows: First, there were significant differences on emotional intelligence between normal adolescents and juvenile delinquent. Normal adolescents had higher level of emotional intelligence. However there were no significant differences on stress coping styles except wishful thinking between normal adolescents and juvenile delinquent. Second, there were overall positive correlation between emotional intelligence and stress coping styles. However regulation of emotion showed negative correlation with stress coping styles. The result of Canonical Correlation revealed that emotional facilitation of thinking among five sub-domains of emotional intelligence was the best contributor to predict stress coping styles of adolescents.

• The Journal of Korean Academic Society of Nursing Education
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• v.22 no.3
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• pp.264-273
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• 2016

Purpose: The purpose of this study was to investigate humanistic knowledge, emotional intelligence, and communication skills among nurses and to identify factors influencing the communication skills of nurses in five hospitals. Methods: Data were collected from 248 nurses in hospitals from August 25 to September 9, 2015. Data were analyzed with descriptive statistics, t-test, ANOVA, Pearson's correlations and enter method regression analysis using the SPSS/Win 22.0 program. Results: There were significant differences in humanistic knowledge according to religion, education, work department, number of night duty, pay level satisfaction, job satisfaction, and job performance. There were significant differences in emotional intelligence according to all general characteristics. There were significant differences in communication skills according to education, position, number of night duty, and job performance. Communication skills showed positive correlations with humanistic knowledge and emotional intelligence. Emotional intelligence correlated positively with humanistic knowledge. Emotional intelligence was a significant predictor and accounted for 32% of variance in the communication skills. Conclusion: To strengthen communication skills, programs need to be complemented in order to promote humanistic knowledge and emotional intelligence for nurses.