• East Asian mathematical journal
• /
• v.37 no.4
• /
• pp.381-400
• /
• 2021

In this study, we compare the multiple intelligence of gifted students with the multiple intelligence of their children recognized by their parents. The subjects of the study are 118 students and their parents at the gifted education center affiliated with A University. First of all, there is a difference between the multiple intelligence of gifted students and the multiple intelligence recognized by their parents. Parents are highly regarded their children in all multiple intelligence components. Second, there are differences in multiple intelligence of gifted students' gender. The difference in multiple intelligence of children recognized by parents depending on the gender of the student was similar to the student's results. Third, there are not much difference in multiple intelligence between elementary and middle school students. However, there is a big difference between students and parents in the elementary school group compared to the middle school students. Therefore, since multi-intelligence can be developed by individual experience and environment throughout one's life, an educational environment that reflects objective evaluation and student needs rather than parental subjective judgment should be created.

• Korean Journal of Artificial Intelligence
• /
• v.7 no.1
• /
• pp.17-22
• /
• 2019

The rapid development of artificial intelligence technology has exerted a great influence on all fields of the world, which of course also affects the world economy. This has also aroused a large number of economists' interest in this proposition. Since the definition of artificial intelligence is not unified yet, the results from previous researches are not reliable enough. At present, most scholars use the neoclassical growth model or task-based model to explore the path of artificial intelligence on economic variables. There into, most of them use the degree of automation to represent the artificial intelligence. They find that the degree of automation can change the proportion of industries. This only verifies that artificial intelligence can affect the economic variables. But the magnitude of artificial intelligence on economic variables can not be correctly estimated. Therefore, in order to have a better understanding on the impact of artificial intelligence on economic growth, this paper systematically reviews and collates previous literature on this topic. The results of this paper indicate that both in theoretical and empirical studies, artificial intelligence has a positive effect on economic growth. Then, some suggestions and limitations have also been put forward accordingly.

• Journal of Korean Academy of Nursing Administration
• /
• v.22 no.1
• /
• pp.22-32
• /
• 2016

Purpose: The purpose of this study was to identify the effects of emotional labor on burnout in nurses focusing the moderating effects of social intelligence and emotional intelligence. Methods: Data were collected in March 2015 by self administered questionnaires among 392 nurses in eight hospitals located in Busan, Gyeongsangnam-do. Data were analyzed by stepwise multiple regression, hierarchical multiple regression. Results: Study results shown (a) emotional labor showed a positive correlation on burnout, while social intelligence and emotional intelligence showed a negative correlation on burnout, (b) emotional labor was the most influential variable on burnout, (c) social intelligence had a negative moderating effect the relationship between emotional labor and burnout, (d) emotional intelligence had a positive moderating effect the relationship between emotional labor and burnout. Conclusion: The result of the study indicate that emotional labor of nurses is positively correlated with burnout and emotional labor is to give the greatest effect on burnout, social intelligence and emotional intelligence had a moderating effects the relationship between emotional labor and burnout.

• Korean Journal of Artificial Intelligence
• /
• v.7 no.2
• /
• pp.9-12
• /
• 2019

With the Chinese government's attention to the artificial intelligence industry, the Chinese government has invested a lot in it recently. Of course, the importance of artificial intelligence industry for China's economic development is increasingly significant. The advent of artificial intelligence boom has also triggered a large number of scientists to analyze the impact of artificial intelligence on economic growth. Therefore, this paper use 31 China's cross-province panel data to study the effect of artificial intelligence on economic growth. Via empirical analyses under a series of econometric methods such as the province and year fixed effect model, the empirical result shows that artificial intelligence has a positive and significant effect on economic growth. Namely, the artificial intelligence is a new engine for economic growth. Meanwhile, the empirical results also indicate that the investment and consumption has a significant and positive effect on economic growth. Oppositely, the inflation and government purchase have a significant negative effect on economic growth. These findings in this paper also provide some important evidences for policy-makers to perform precise behaviors so as to promote the economic growth. Moreover, these finding enriches existing literature on artificial intelligence and economic growth.

• Korean Journal of Applied Biomechanics
• /
• v.32 no.3
• /
• pp.69-79
• /
• 2022

Objective: The purpose of this study is to analyze trends related to sports and artificial intelligence (AI) to understand the trends and how they change according to time, and to establish methods to apply AI in sports. Both macro and micro perspectives related to sports utilization of AI were analyzed. Method: In this study, after analyzing and discussing various information related to the use of artificial intelligence in the sports through a search of academic journals, papers, books, and websites published recently at nationally and internationally, the application plan of artificial intelligence in the sports field was presented. Results: 1) Motion analysis technology using artificial intelligence is effective in sports where posture is important, and if it provides systematic feedback and training methods, it can help improve performance. 2) The introduction of a sports referee judgment system using artificial intelligence is expected to improve performance by restoring factual judgment and objective fairness in sports games. 3) Artificial intelligence will provide coaching staff and players with a variety of information to help improve performance through systematic coaching and improving feedback and enhanced training methods. 4) It is judged that artificial intelligence-related to sports ethics, sports ICT, sports marketing, sports prediction, etc. We think that based on the current AI research trends will have a positive impact on all sports-related areas, helping to revitalize sports. Conclusion: Motion analysis technology using artificial intelligence, sports referee judgment system, coaching using artificial intelligence, and artificial intelligence are judged to have a positive effect on all sports-related areas and help revitalize sports.

• Management & Information Systems Review
• /
• v.30 no.3
• /
• pp.107-132
• /
• 2011

The purposes of this paper are to examine the effect of emotional intelligence and logic intelligence on organizational citizenship behavior and to examine the moderating effect of intelligence labor on these relationship. For these purposes, literature review and survey research were conducted. The 420 questionnaires were sent to the 12 manufactural firms in the Busan and Kyungsang Nam-Do region for empirical analysis. Total 363 usable responses were collected(effective response rate : 86.40%). The major findings of the empirical research are as follows ; First, emotional intelligence and logic intelligence have positive influence organizational citizenship behavior. but emotional intelligence have more positive influence than logic intelligence on organizational citizenship behavior. Second, emotional intelligence has differential influence on organizational citizenship behavior by emotional labor, but logic intelligence hasn't that. In conclusion, emotional intelligence is expected to improve organizational citizenship behavior which is extra-role behavior in an organization. Therefore, managers have to develop organizational citizenship behavior by exhibiting emotional intelligence, considering emotional labor.

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

• Journal of the Korean Society for Aviation and Aeronautics
• /
• v.31 no.2
• /
• pp.108-115
• /
• 2023

Alongside the rapid development of AI technology, which is stepping in to do tasks more quickly and less prone to error than humans can, the possibility for MI (multiple intelligence) development warrants equal attention and fervor. Recent theories of human intelligence point beyond standard cognitive capacity, IQ, and shine a light on the other unique potentials naturally endowed to humans. The applicability of MI to aviation is discussed, suggesting that it is important to consider ways to integrate MI development techniques into pilot education and training. Experiential starting points are discussed.

• Korean Journal of Child Studies
• /
• v.23 no.4
• /
• pp.215-226
• /
• 2002

This study examined the effects of the 'Friends of Nature' education program on multiple intelligence(MI) and emotional intelligence(EI or EQ). The 'Friends of Nature' activity was designed as an education program on the basis of the theories of multiple intelligence and emotional intelligence in order to develop MI and EI through real experiences in the nature. The subjects were 5-year-old kindergarten children, the education activities lasted for 7 months. Significant effects were found in the children's multiple and emotional intelligence between the control group and the activity group in some but not all areas of MI and EI. Consequently, the 'Friends of Nature' program can be said to have partially positive effects on the improvement of children's multiple and emotional intelligence.

• Journal of Families and Better Life
• /
• v.23 no.4 s.76
• /
• pp.17-26
• /
• 2005

The purpose of the this study was to identify the relations among intelligence, parenting environment and self-regulation of preschool children. The subjects were 81 children between the ages 3 and 6 and their mothers from one day-care center in Seoul. T-test, correlation analysis, multiple regression analysis were used for data analysis. First, the result of this study showed that children's self-regulation ability by sex difference was significant to only girls and children's self-regulation ability by no was not significant. Parents who had higher educational background were positively related to children's intelligence and children's self-regulation ability was significant to mothers' educational background. Second, the preschool children who got higher scores in intelligence scale were higher self-regulation ability. Third, the young children's self-regulation ability showed significance only in motor intelligence which was one of the subscales of intelligence scale. Fourth, the effect of children's intelligence and parenting environment on preschoolers' self-regulation were relatively presented as intelligence($\beta$=.34, p<.01), trauma state($\beta$=0.31, p<.05) and development state($\beta$ =.23, p<0.5) which were subscales of parenting environment.