• 동아시아경상학회지
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• 제11권2호
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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.

• 한국항공운항학회지
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• 제31권2호
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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.

• 한국전자통신학회논문지
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• 제12권1호
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• pp.139-146
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• 2017

알파고로 촉발된 인공지능에 대한 국민의 관심이 고조되고 있다. 아직 국내에는 인공지능 분야에 대한 기술융합 맵 및 국가 프로파일에 대한 연구가 미진한 실정이다. 본 연구는 특허와 논문을 통해 인공지능 분야의 기술융합 현상을 밝히고, 인공지능 분야의 국가 프로파일을 분석하고자 하였다. 특허와 논문에서 인공지능 분야 데이터를 추출한 후 기술융합 맵을 작성하였다. KISTI가 보유한 SCOPUS 데이터를 이용해 국가 프로파일 분석에 필요한 지표를 구했다. 기술적 측면에서 인공지능 분야의 기술은 금융가격결정, 이미지분석, 수술 등 분야와 기술융합이 활발하게 나타났다. 학문적 측면에서 보면 인공지능 분야는 컴퓨터 과학 하위 분야에서 주로 연구되고 있지만 전기전자공학, 바이오 공학, 의학 등 분야와 융합이 활발하게 나타났다. 우리나라는 인공지능 분야에 대한 연구 성장도가 세계 평균인 것으로 나타났으며, 국가집중도, 영향력 등 측면에서는 주요국과 격차가 큰 것으로 나타났다.

• 한국보육지원학회지
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• 제19권2호
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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.

• 한국콘텐츠학회논문지
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• 제17권3호
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• pp.231-237
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• 2017

최근 기업의 보안 시스템으로부터 수집되는 보안 인텔리전스 수는 악성코드의 확산으로 인해 기하급수적으로 증가하고 있다. 빅 데이터 환경이 도래하면서 기업들은 침해사고에 대한 다양한 정보를 이용할 수 있게 되면서 기업이 수집할 수 있는 침해사고 정보가 다양해지고 있다. 이에 따라 보안 인텔리전스를 구성하고 있는 침해사고의 다양한 속성을 사용하여 보다 정확하게 유사침해사고를 그룹별로 분류할 필요성이 요구되고 있다. 본 연구에서는 유사도 비교 분석 이론에 근거하여 침해사고를 공격유형과 침해자원을 고려한 다중 프로파일을 개발하고, 이를 활용하여 보안 인텔리전스를 구성하고 있는 침해사고 유형 분류의 정확성을 개선하는 다중 프로파일 기반 앙상블 모델을 제안한다. 제안 모델은 침입탐지시스템에서 수집된 계층적 침해자원에 대한 유사도 분석을 통해 새로운 침해사고를 효과적으로 분석할 수 있다. 사실적이고 의미 있는 침해사고의 구성을 통한 유형 분류는 새로운 침해사고에 대한 유사 침해사고를 정확하게 분류 제공함으로써 분석의 실용성을 향상시킨다.

• 한국수학교육학회지시리즈D:수학교육연구
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• 제12권1호
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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.

• 한국수학교육학회지시리즈A:수학교육
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• 제43권1호
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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.

• 산경연구논집
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• 제12권1호
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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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• 제8권6호
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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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• 제2권1호
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• pp.97-101
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• 1991

전체 지능지수 70이상의 전반적 발달장애 아동(PDD)15명과 주의력결핍장애 아동(ADHD)19명의 WISC Profile을 검사한 결과 PDD아동과 ADHD아동은 다른 양상의 인지적특성을 보이는데 PDD아동이 ADHD아동에 비해 더 고르지 못한 인지발달, 특히 언어이해 개념형성 추리능력 등 언어적 능력이 지각 및, 운동기능보다 낮은 경향을 보였다. WISC검사의 변별분석(Discriminant analysis)를 통해 PDD집단과 ADHD 집단은 구분이 가능함이 나타났는데 특히 상식, 공통성, 어휘, 숫자, 빠진곳 찾기, 토막짜기 등 6개의 소검사가 두군간의 구분에 도움이 되는 것으로 나타났다.