• Korean System Dynamics Review
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• v.7 no.1
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• pp.5-26
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• 2006

Ever increasing dependence of organization on information technology stimulates interactions between individuals and groups in the process of knowledge creation, which overall impies that a reciprocal mechanism lies within the structure of the growth of group intelligence. Individual's intelligence may affect the group intelligence, and vise versa. However, the level of group intelligence is not necessarily determined by the sum of individual's intelligence but the quality of the interactions among the individuals. This study thus aims to conceptually identify the dynamic structure of interactions among the factors influencing the group intelligence level, which is believed to be used as a tool to measure the difference of intelligence between groups. To achieve this goal several attempts were made. First, determinants of intelligence at indiviual level and group level and similarities and differences between individual's and group intelligence were identified from the previous research. Second, causal loop diagrams were developed, which show how individual's intelligence influences group intelligence and vise versa. Third, it was attempted to identify and interpret which feedback loops are most influential in either improving or hapering group intelligence as a whole. Since this study remains only at exploratory level, a more detailed and workable model for field applications has to be developed in the future.

• Journal of Intelligence and Information Systems
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• v.13 no.4
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• pp.105-120
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• 2007

The primary purpose of this study lies in developing an intelligence level measurement model which can be applied to information home appliances. To accomplish the study purpose, the literature on computer engineering and intelligence is comprehensively researched and critical elements necessary for measuring the intelligence of smart home appliances are extracted. Then an intelligence level measurement model is derived, and the model is validated by several academic and practical experts using Delphi technique. The measurement model developed in the study, on the one hand, can provide users with some objective standards to evaluate the intelligence level of smart home appliances. On the other hand, it can help home appliance product developers or related service providers decide the target intelligence level of the products or services more specifically. Consequently, the model can contribute to the revitalization of the smart home appliance industry as a whole.

• Journal of the Korean Institute of Oriental Medical Informatics
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• v.20 no.1
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• pp.9-24
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• 2014

Purpose: This study was done to identify the relationship between emotional intelligence and nursing performance of clinical nurses in hospitals. Methods: Data were collected from a convenience sample of 396 nurses who work for a university in a city. The Questionnaire measured the level of emotional intelligence, nursing performance of nurses. The data were analyzed with PASW (SPSS) 18.0, using t-test, ANONA, Scheffe' test, Pearson correlation coefficients, and multiple regression. Results: The mean score of emotional intelligence was 3.44(${\pm}.39$), nursing performance was 3.59(${\pm}.42$). There were significant differences on emotional intelligence to age, education level, current position, total clinical career, job satisfaction. And there were significant differences on nursing performance to age, marital status, education level, current position, total clinical career, job satisfaction. It was significant positive correlation between emotional intelligence and nursing performance. The emotional intelligence and age explained 32.7% of variance in nursing performance. Conclusion: The findings indicate that to increase nursing performance, nursing managers need to develop emotional intelligence, especially use emotion and regulation of emotion for nurses.

• Electronics and Telecommunications Trends
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• v.35 no.3
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• pp.1-8
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• 2020

Artificial-intelligence (AI) technology is used in a variety of fields, from robot cleaner motion control to call center counselors, AI speakers, and Mars exploration. Because the technology levels of all applications and services that utilize AI vary widely, it is not possible to view all applications using AI technology at the same level. Nevertheless, there have been no cases in which the level of AI technology was defined. Therefore, the Electronics and Telecommunications Research Institute (ETRI) Artificial Intelligence Research Laboratory has defined the levels of the main technical elements of AI from steps 1 to 6. In this report, the Artificial Intelligence Technology Level 1.0 (ATL 1.0) is presented. It was established by comprehensively referring to the AI technology prospects and technology roadmaps of major countries. It is hoped that it can be used as a measure for determining the levels of AI applications or services or as an indicator for establishing a technology roadmap.

• Human Ecology Research
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• v.53 no.3
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• pp.265-277
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• 2015

This study examines child emotional intelligence in relation to mother's emotional expressiveness and reaction to child negative emotions. A sample of 352 children and mothers from 4 elementary schools in Seoul and Gyeonggi participated in the study. Child emotional intelligence and mother's reaction to child negative emotions were evaluated by child-report, and mother's emotional expressiveness was assessed by mother-report. Data were analyzed by descriptive statistics, two-way analysis of variances, Pearson's correlation and multiple regression analyses. The findings were as follows. First, mothers of boys showed more oversensitive-reaction to child negative emotions than mothers of girls. Mothers of 6th-graders showed more emotion-minimizin-greaction to child negative emotions than mothers of 5th-graders. Second, girls showed a higher level of overall emotional intelligence than boys. Girls showed a higher level of emotion expression and emotion regulation than boys. The 5th-graders showed higher level of emotion expression than 6th-graders; however, 6th graders showed a higher level of emotion perception than 5th-graders. Third, more emotion-coaching-reaction and less oversensitive-reaction by mothers predicted a better emotional intelligence of children. A mother's appropriate emotional socialization behaviors associated with child emotional intelligence were discussed.

• Journal of Korean Elementary Science Education
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• v.39 no.3
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• pp.369-381
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• 2020

This study aims to analyse the relationship between multiple intelligence and scientific creativity of science-gifted elementary students focusing on the subject of biology. For this, 37 science-gifted fifth-graders in the Science-Gifted Education Center at an Office of Education conducted a multiple intelligence test. In addition, researchers collected science-gifted students' results of scientific creativity activity at the botanical garden field trip. The main findings from this study are as follows: First, strong intelligence was logical-mathematical intelligence for gifted students, and weak intelligence was found to be naturalistic intelligence for them. Second, there was no significant correlation in the relationship between multiple intelligence and scientific creativity of science-gifted students. Third, as a result of independent two sample t-test for each intelligence and scientific creativity scores divided into the upper and lower groups, only verbal-linguistic intelligence statistically differed significantly at the level of p<.05 (t=2.13, df=35, p=0.04). Fourth, as a result of conducting a two-way analysis to see if there were any interaction effects, verbal-linguistic and visual-spatial, logical-mathematical and visual-spatial, logical-mathematical and bodily-kinesthetic, and visual-spatial and musical-rhythmic intelligence all showed significant values at the level of p<.05 level in interaction effects on originality element comprising scientific creativity. Fifth, an analysis of students with high naturalistic intelligence showed that their scores of scientific creativity tasks conducted at the botanical garden field trip were all lower. Based on the results of this study, this study discussed the implications of scientific creativity learning linking multiple intelligence in primary science education and gifted education.

• Journal of Information Technology Applications and Management
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• v.22 no.2
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• pp.113-122
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• 2015

Collective intelligence can be an influential factor of decision-making based on collaboration and information exchange between individuals. Our study explores whether collective intelligence can mitigate the loss aversion effect, bias and error in human judgment, and collective intelligence in online communities can reduce the loss aversion effect. Our community settings display both individual-level and group-level loss aversion effect, investigate effective collective intelligence characteristics like investment commitment, participant experience. Using a multi-method approach our research comprises a web-based experiment with 100 participants investing 3 situations from a real-world community, data from a survey measuring loss aversion behavior of participants. The results suggest the loss aversion effect mitigates under the online-circumstance. Overall, our results suggest that, while collective intelligence mitigates the loss aversion effect, participants do not transfer these results to other settings.

• Journal of Digital Convergence
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• v.16 no.3
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• pp.375-383
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• 2018

The purpose of this study is to identify differences in Smartphone adiction and communcation ablity according to the degree of emotional intelligence in nursing students. Subjects were 228 associate nursing students from the population that atttend 2 university in B and C city. The data were collected using self-report questionnaire from November 28 to December 16, 2016. Data were analyzed by frequencies, Independent t-test, ANOVA, Pearson's correlation using SPSS Win 23.0. Emotional intelligence level were no significantly correlation with smartphone adiction. But the subscales of emotional intelligence(use of emotionals and regulator of emotionals) were a negative correlation smartphone addiction in nursing students. The higher the level of use of emotionals and regulator of emotionals, the lower the smartphone adiction. Emotional intelligence level were positive correlation with communcation ablity in nursing students. The higher the level of emotional intelligence, the higher the communication ability. Therefore, To reduce smartphone adiction and to increase communcation ablity of nursing students, it is necessary to develop and test the program for increase emotional intelligence level of nursing students.

• Korean Journal of Human Ecology
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• v.10 no.2
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• pp.141-151
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• 2001

The purpose of this study was to investigate impact mother's personality and children's educational experience on children's intelligence. Subjects were 90 children and their mothers in Daejeon, Korea. The main results of this study were as follows; First, there were significant differences between the children's intelligence and mother's educational level and family income. Second, there were significant difference between children's intelligence and mother's personality. Third, there was significant difference between children's intelligence and children's early educational experience. Fourth, the influenced variables on children's intelligence were mother's educational level, early educational experience, and educational experience with parent and child at home.

• The Journal of Industrial Distribution & Business
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• v.12 no.1
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• pp.31-46
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• 2021

Purpose: The purpose of the study is to analyze the characteristics of emotional intelligence and the variables related to emotional intelligence in a comprehensive manner. In addition, the study intends to present research trends and future research directions of emotional intelligence in a Korean context by analyzing the effects of emotional intelligence and its mechanisms. Research Design, Data, and Methodology: 77 KCI listed studies were selected for the analysis, and the research perspective of emotional intelligence, measurement instruments, empirical research and research methods were analyzed. In addition, research directions were suggested based on the analysis results. Results: The results of the analysis were as follows: First, previous researchers used the ability model of emotional intelligence the most. Second, Previous studies tended to focus on behavioral factors as dependent variables affected by emotional intelligence, in addition to attitudes, affection. Third, there were few studies on the antecedents of emotional intelligence, however, most studies dealt with the consequences of emotional intelligence. Fourth, few studies dealt with moderators between emotional intelligence and dependent variables. Fifth, on the research type, most studies were quantitative studies, however, a few of them were qualitative studies (Literature review, in-depth interview). Sixth, with regard to the analysis level, almost all studies were conducted on the individual level of emotional intelligence, and most studies featured a cross-sectional research design (longitudinal research design was rare). Conclusion: First, from the perspective of emotional intelligence, additional research should be focused on not only the ability model of emotional intelligence but also on the trait model or the mixed model in the future. Second, since emotional intelligence is a multidimensional construct, it is necessary to study the profile of emotional intelligence by employing people-centered as well as variable-centered methods. Third, with regard to empirical studies, additional research is needed with respect to not only the emotional intelligence of the subordinate, but also the emotional intelligence of the supervisor (leader) and the emotional intelligence of the group. Fourth, it is necessary to actively utilize not only cross-sectional design but also longitudinal design, and qualitative research and meta-analysis methods should also be adopted.