• East Asian Journal of Business Economics (EAJBE)
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• v.11 no.2
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• pp.1-13
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• 2023

Purpose - The purpose of this study is to identify emotional intelligence (EI) profiles according to the sub-factors of the ability EI model, namely, self-emotional appraisal, others' emotional appraisal, regulation of emotion, and use of emotion. In addition, this study aims to reveal whether there is a difference in job satisfaction, affective commitment, and turnover intention depending on the profile. Research design, data, and methodology - For the study, 536 survey responses were analyzed using SPSS 22 and MPlus 8.4. Result - The analysis identified four EI profiles. These were 1) middle-low generalized EI (all sub-factors of EI were slightly lower than the average level), 2) middle-high generalized EI (all sub-factors of EI were slightly higher than the average), 3) low generalized EI (all EI sub-factors were much lower than the average), and 4) high generalized EI (all EI sub-factors were much higher than average). Furthermore, significant differences were found in job satisfaction, affective commitment, and turnover intention according to each profile. Conclusion - This study expands the EI theory by revealing the profile of EI. In addition, this study investigated the impact of EI profile on job satisfaction, affective commitment, and turnover intention.

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

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.1
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• pp.139-146
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• 2017

The interest about Artificial Intelligence through the AlphaGo Match in Korea has been increasing rapidly. So far, very little has been done in Artificial Intelligence. The aim of this paper is to reveal technology convergence and to assess the country profile in the field of artificial intelligence(AI). Technology convergence map was created after extracting USPTO patent grants and Web of Science data and generating matrics in the field of AI. Several Indicators were obtained by extracting and calculating SCOPUS Data that KISTI has. According to USPTO patent grants, it shows that AI technology has a strong relationship with several sectors such as cost/price determination, image analysis, and surgery, etc. Also, AI has a active convergence with some fields of Electrical and Electronic Engineering, BioTechnologies, and Medicine etc. According to country profile analysis, Korea reaches a global average growth index. However, in terms of specialization index (SI) and average of relative citations (ARC), there is a large gap between Korea and research leading countries.

• Korean Journal of Childcare and Education
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• v.19 no.2
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• pp.43-59
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• 2023

Objective: This study investigated the differences in preschool children's perceptions of artificial intelligence (AI) and their distribution by latent profiles according to their experience with AI robots in daycare centers. Methods: The participants included 119 five-year-old children, 52 of whom had experience with AI robots in daycare centers and 67 of whom did not. Children's perceptions of AI were measured using the Godspeed scale from Bartneck et al.(2009). Data were analyzed using a t-test, latent profile analysis, and chi-square test. Results: The results showed that compared to the inexperienced group, the experienced group reported lower levels of animacy and perceived intelligence of AI robots, indicating higher levels of AI knowledge and understanding. In addition, the experienced group had a higher probability of belonging to the 'machine recognition' type than 'organism recognition' type, although the difference was not statistically significant. Conclusion/Implications: The findings suggest that experience with AI robots in daycare centers can improve children's AI knowledge and understanding. To further enhance this effect, it is necessary to increase the number of robots put into classrooms, and to consider various teaching media that reflect children's preferences.

• The Journal of the Korea Contents Association
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• v.17 no.3
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• pp.231-237
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• 2017

Threat intelligences collected from cyber incident sharing system and security events collected from Security Information & Event Management system are analyzed and coped with expanding malicious code rapidly with the advent of big data. Analytical classification of the threat intelligence in cyber incidents requires various features of cyber observable. Therefore it is necessary to improve classification accuracy of the similarity by using multi-profile which is classified as the same features of cyber observables. We propose a multi-profile ensemble model performed similarity analysis on cyber incident of threat intelligence based on both attack types and cyber observables that can enhance the accuracy of the classification. We see a potential improvement of the cyber incident analysis system, which enhance the accuracy of the classification. Implementation of our suggested technique in a computer network offers the ability to classify and detect similar cyber incident of those not detected by other mechanisms.

• Research in Mathematical Education
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• v.12 no.1
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• pp.39-47
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• 2008

The purpose of this study is to analyze the strength and weakness of the intelligences appeared by the profile of the multiple intelligences of gifted children in mathematics. The subjects of this study were 80 students from D-Education Center for Gifted Children in Korea. Their multiple intelligences were measured by the self-scaling test of Korean-Multiple Intelligence Development Assessment Scale, in July 2006. The conclusions of this study are as follows: First, the strengths of multiple intelligences of the gifted children in mathematics are in logical-mathematical intelligence, intrapersonal intelligence and interpersonal intelligence. And, the weakness of multiple intelligences of the gifted in elementary mathematics is in bodily-kinesthetic intelligence. Second, formal educational curriculum of the gifted in elementary mathematics is required which can stimulate all kinds of intelligences.

• The Mathematical Education
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• v.43 no.1
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• pp.35-50
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• 2004

The purpose of this study is to analyze the strength and weakness of intelligences appeared by the profile of multiple intelligences of the gifted children in elementary mathematics. The subjects of this study were 79 students from D-Education Center for Gifted Children. Their multiple intelligences were measured by a self-scaling test of Korean-Multiple Intelligence Development Assessment Scale, at the beginning of September in 2003. The conclusions of this study are as follows: First the strengths of multiple intelligences of the gifted children in mathematics are intrapersonal intelligence, logical-mathematical intelligence and interpersonal intelligence. And the weakness of multiple intelligences of the gifted in elementary mathematics is bodily-kinesthetic intelligence. Second, formal educational curriculum of the gifted in elementary mathematics is required which can stimulate all kinds of intelligences.

• 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.

• Coupled systems mechanics
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• v.8 no.6
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• pp.523-535
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• 2019

Artificial Intelligence (AI) is anticipated to be the future of technology. Hence, AI has been applied in various fields over the years and its applications are expected to grow in number with the passage of time. There has been a growing need for accurate, direct, and quick prediction of geotechnical and foundation engineering models especially since the success of each project relies on numerous amounts of data. In this study, two applications of AI in the field of geotechnical and foundation engineering are presented - spatial interpolation of standard penetration test (SPT) data and prediction of consolidation of clay. SPT and soil profile data may be predicted and estimated at any location and depth at a site that has no available borehole test data using artificial intelligence techniques such as artificial neural networks (ANN) based on available geospatial information from nearby boreholes. ANN can also be used to accelerate the calculation of various theoretical methods such as the one-dimensional consolidation theory of clay with high efficiency by using lesser computation resources. The results of the study showed that ANN can be a valuable, powerful, and practical tool in providing various information that is needed in geotechnical and foundation design.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.2 no.1
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• pp.97-101
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• 1991

K-WISC Profiles of 15 PDD and 19 ADHD children were compared. Children with PDD showed more uneven scores among subtests, particularly lower scores in verbal comprehension, similarity and block design than ADHD children. It is suggested that two groups can be discrminated by the WISC profile.