• Journal of The Korean Association of Information Education
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• v.6 no.3
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• pp.279-287
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• 2002

These days, school education is making every possible effort to bring up a human able to opposed creatively to 21 century social, because of society is global and informational step by step. For this, the special activity in the seventh curriculum is expended and reorganized from three areas to five areas. On the other hand, the special activity is pushed ahead with the developmental activity in consideration of student's ability and aptitude. However, the teachers are difficult to organize of the developmental activity in based on student's ability and aptitude. Because of developmental activity is organized in the beginning of a term, not only the teachers are fallen to realize student's ability and aptitude but also students ignore ability and aptitude themselves. Therefore this paper designs a program based on MI(Multiple Intelligence) theory to compose developmental activity effectively. Up to now, MI is introduced nine kinds of intelligence, Linguistic Intelligence, Logical-Mathematical Intelligence, Musical Intelligence, Spatial Intelligence, Bodily-Kinesthetic Intelligence, Interpersonal Intelligence, Intrapersonal Intelligence, Naturalist Intelligence, and Existentialist intelligence. this paper designs the K-MIDAS test[1] based on seven kinds of intelligence areas and implements developmental activity program suit to student's ability and aptitude based on the MI test result.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.34 no.3
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• pp.181-187
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• 2023

Objectives: This study aimed to investigate the correlation between the Comprehensive Attention Test, Korean-Wechsler Intelligence Scale for Children-Fourth Edition, and Attention-Deficit/Hyperactivity Disorder (ADHD) Rating Scale-IV scores in children and adolescents with ADHD. Methods: Fifty-five children and adolescents diagnosed with ADHD and not taking psychiatric medications were included in this retrospective study. A correlation analysis was performed. Results: Although simple visual and auditory selective attention have diagnostic value in traditional continuous performance tests, this study revealed that inhibition-sustained attention and interference-selective attention are also effective in evaluating ADHD. Furthermore, the correlation between the attention and intelligence test scores varied depending on the use of visual or auditory stimuli. Conclusion: The findings of this study contribute to clarifying our understanding of the cognitive characteristics of children and adolescents with ADHD and can be used in future research.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.3
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• pp.194-202
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• 2019

This study examined the emotional intelligence and social support in relation to resilience in order to identify the factors influencing resilience in student nurses. The participants were 228 student nurses from two colleges in B City. The data were analyzed using a t-test, ANOVA, Pearson correlation coefficient, Scheffe test and multiple regression analysis by SPSS ver. 21.0. The mean score for emotional intelligence, social support, and resilience level was 5.36 out of 7 points, 4.13 out of 5 point, and 2.68 out of 4 points, respectively. Resilience was positively correlated with emotional intelligence (r=.665, p<.001) and social support (r=.495, p<.001). The results of this research suggest that social support is an important variable affecting resilience in student nurses. The factors affecting resilience were social support (${\beta}=.464$, p<.001), emotional intelligence (${\beta}=.169$, p=.004), and aptitude (${\beta}=.162$, p=.006). Resilience explained 50.4% of the variance in social support, emotional support, and aptitude. To increase the resilience of student nurses, managers need to develop resilience programs and training for managing social support, emotional intelligence, and aptitude.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.667-676
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• 2023

This study is a descriptive research to identify the effects of job stress, competency, and emotional intelligence on burnout and the mediating effects of competency and emotional intelligence in Wee counseling professionals. The subjects of the study were 104 counseling professionals in charge of Wee work in the G-do area, and data were collected from February to April 2023. The collected data were analyzed by descriptive statistics, t-test, ANOVA, Pearson's correlation, regression analysis, and Sobel test. As a result of the study, job stress and competency of Wee counseling professionals had a significant effect on burnout, and competency had a partial mediating effect in the relationship between job stress and burnout, and the explanatory power was 45.6% (Z=2.96, p=. 003). In addition, job stress and emotional intelligence had a significant effect on burnout, and the explanatory power was 44.8%, and there was no mediating effect of emotional intelligence. Based on these results, we can contribute to the reduction of burnout by interventions that lower job stress and improve competency and emotional intelligence of Wee work counseling professionals, in addition, it is suggested that a systematic plan should be established and provided to include interventions for competency improvement in job stress reduction interventions.

• The Journal of the Korea Contents Association
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• v.21 no.8
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• pp.619-628
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• 2021

This study tried to find out the degree of emotional intelligence and moral sensitivity of nursing students and their effect on caring efficacy. Data collection was conducted online from January 14 to 23, 2021 for 143 students from 1st to 4th grade at 3 nursing colleges located in one province. For data analysis, using SPSS/WIN 23.0, descriptive statistics, independent t-test, ANOVA and Duncan test, Pearson's correlation coefficients, and multiple regression were used. As a result of the study, emotional intelligence was confirmed as an influencing factor of caring efficacy, specifically emotional utilization (p=.005), emotional regulation (p=.027), and emotional recognition of others (p=.037), and the explanatory power was 26.2%. Therefore, in order to increase the nursing students' sense of caring efficacy, it is necessary to develop nursing education and content development that can improve individual emotional intelligence of nursing students.

• Journal of the Korean Home Economics Association
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• v.45 no.4
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• pp.61-75
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• 2007

This study examined the relationships among children's emotional intelligence, maternal psychological life position and children's social behavior. The study subjects were 267 four and five-year-old children and their mothers from five childcare centers located in Seoul. The children's social behavior was assessed by the teacher rating scale developed by Lim(1999) and questionnaires were used to assess the maternal psychological life position and children's emotional intelligence. Data was analyzed by t-test, Pearson's correlation, and stepwise multiple regression. The results demonstrated that the children's social behavior differed according to their gender and age. The strongest predictor of children's social behavior was the children's emotional intelligence.

• 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.

• Journal of Korea Multimedia Society
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• v.25 no.10
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• pp.1512-1523
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• 2022

Artificial intelligence application in digital health care has been increasing with its development of artificial intelligence. The convergence of the healthcare industry and information and communication technology makes the diagnosis of diseases more simple and comprehensible. From the perspective of medical services, its practice as an initial test and a reference indicator may become widely applicable. Therefore, analyzing the factors that are the basis for existing diagnosis protocols also helps suggest directions using artificial intelligence beyond previous regression and statistical analyses. This paper conducts essential diagnostic prediction learning based on the analysis of blood cancer factors reported previously. Blood cancer diagnosis predictions based on artificial intelligence contribute to successfully achieve more than 90% accuracy and validation of blood cancer factors as an alternative auxiliary approach.

• ETRI Journal
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• v.46 no.1
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• pp.106-117
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• 2024

Large language models (LLMs) have revolutionized various applications in natural language processing and exhibited proficiency in generating programming code. We propose a framework for evaluating the code generation ability of LLMs and introduce a new metric, pass-ratio@n, which captures the granularity of accuracy according to the pass rate of test cases. The framework is intended to be fully automatic to handle the repetitive work involved in generating prompts, conducting inferences, and executing the generated codes. A preliminary evaluation focusing on the prompt detail, problem publication date, and difficulty level demonstrates the successful integration of our framework with the LeetCode coding platform and highlights the applicability of the pass-ratio@n metric.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.6
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• pp.1317-1328
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• 2009

As a study on how the Neurofeedback training effects on young children's brain function and intelligence, first, this paper aims to verity the effect Neurofeedback training brings to the function of young children's brain. Second, through K-WPPSI IQ test, analyses how Neurofeedback training influences on the development of young children's intelligence. The subjects of this study were the 60 five-year children attenging J kindergarten in Cheon-an, experimnet treatment was performed according to Neurofeedback training guidance from Aprile 21 to December 12, 2008. It analyzes the states of brain waves before and after the Neurofeedback training, and performed the statistical analysis through t-test, using SPSS for Window(V.13.0) package. As a result of analysis, it was shown that firstly Neurofeedback training was very effective on the d!evelopment of infan's brain intelligence, since the quotient to evaluate the entire brain function appeared to have a meaningful influence. Secondly, it was proved that Neurofeedback training had much influence on the object assembly-area, the maze-area, and picture completion-area, and that it had the same influence on the performance intelligence quotient too. So, such results as these one make us realize that Neurofeedback training is a very effective method to the development of performance intelligence quotient. Thirdly, they indicate that Neurofeedback training hasn't a meaningful influence on verbal intelligence quotient, since it affects only on the similarities area among verbal intelligence quotient, the total evaluative quotient.