• 대한공업교육학회지
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• v.30 no.1
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• pp.37-45
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• 2005

The purpose of this study is to find out the relationship between the Multiple Intelligence and the technological problem solving and the differences between the two. There were a group of 200 third grade middle school students that were comprised of 100 boys and 100 girls and what the difference is exited between the boys and the girls. To measure the students' Multiple Intelligence, MI(Multiple Intelligent)Test designed by Youngrin, Moon was used. As the testing instrument of the Technological problem Solving, we use the test developed by National Center for Research on Evaluation, Standards, and Students Testing(CRESST). The results were; First, In comparison with the boys and girls' multiple intelligence part, there were individual differences in musical intelligence, bodily-kinesthetic intelligence, logical-mathematical intelligence, and naturalistic intelligence of multiple intelligence. Second, In comparison to the technological problem solving part, there were individual differences in self-regulation and there was a mild difference in understanding of the contents. Third, The multiple intelligence related with the self-regulation is continuous with logical-mathematical intelligence, intra-personal intelligence and linguistic intelligence. Fourth, The multiple intelligence related with the technological problem solving strategy is continuous with logical-mathematical intelligence and musical intelligence. Fifth, The multiple intelligence related with the understanding of the contents is continuous with the logical-mathematical intelligence and naturalistic intelligence. To improve the students' technological problem solving ability, it is required the development of the curriculum which focus on the improvement of logical-mathematical intelligence, musical intelligence, intra-personal intelligence, linguistic intelligence and naturalistic intelligence of the students.

• Journal of the Korea Society of Computer and Information
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• v.29 no.3
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• pp.227-235
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• 2024

In the era of the information revolution, the need for artificial intelligence convergence education is emerging in the trend of global change. Therefore, in this paper, a physical computing programming education method that combines artificial intelligence was developed and applied. The control group was provided with physical computing programming education that did not converge with artificial intelligence, and the experimental group developed and applied a physical computing programming education method that fused artificial intelligence to analyze the impact on elementary school students' computing thinking ability. As a result, it was confirmed that physical computing programming education fused with artificial intelligence had a more positive effect on enhancing elementary school students' computational thinking skills compared to physical computing programming education without artificial intelligence.

• ETRI Journal
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• v.46 no.1
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• pp.11-21
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• 2024

We focus on open-domain question-answering tasks that involve a chain-of-reasoning, which are primarily implemented using large language models. With an emphasis on cost-effectiveness, we designed EffiChainQA, an architecture centered on the use of small language models. We employed a retrieval-based language model to address the limitations of large language models, such as the hallucination issue and the lack of updated knowledge. To enhance reasoning capabilities, we introduced a question decomposer that leverages a generative language model and serves as a key component in the chain-of-reasoning process. To generate training data for our question decomposer, we leveraged ChatGPT, which is known for its data augmentation ability. Comprehensive experiments were conducted using the HotpotQA dataset. Our method outperformed several established approaches, including the Chain-of-Thoughts approach, which is based on large language models. Moreover, our results are on par with those of state-of-the-art Retrieve-then-Read methods that utilize large language models.

• Journal of Korean Neurosurgical Society
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• v.48 no.6
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• pp.506-517
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• 2010

Objective : We investigated whether Disability Evaluation (DE) situations influence patients' neuropsychological test performances and psychopathological characteristics and which variable play a role to establish an explanation model using statistical analysis. Methods : Patients were 536 (56.6%) brain-injured persons who met inclusion and exclusion criteria, classified into the DE group (DE; n = 300, 56.0%) and the non-DE group (NDE; n = 236, 44.0%) according to the neuropsychological testing's purpose. Next, we classified DE subjects into DE cluster 1 (DEC1; 91, 17.0%), DE cluster 2 (DEC2; 125; 23.3%), and DE cluster 3 (DEC3; 84, 15.7%) via two-step cluster analysis, to specify DE characteristics. All patients completed the K-WAIS, K-MAS, K-BNT, SCL-90-R, and MMPI. Results : In comparisons between DE and NDE, the DE group showed lower intelligence quotients and more severe psychopathologic symptoms, as evaluated by the SCL-90-R and MMPI, than the NDE group did. When comparing the intelligence among the DE groups and NDE group, DEC1 group performed worst on intelligence and memory and had most severe psychopathologic symptoms than the NDE group did. The DEC2 group showed modest performance increase over the DEC1 and DEC3, similar to the NDE group. Paradoxically, the DEC3 group performed better than the NDE group did on all variables. Conclusion : The DE group showed minimal "faking bad" patterns. When we divided the DE group into three groups, the DEC1 group showed typical malingering patterns, the DEC2 group showed passive malingering patterns, and the DEC3 group suggested denial of symptoms and resistance to treatment.

• Journal of the Korea Society of Computer and Information
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• v.26 no.10
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• pp.199-208
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• 2021

In this paper, the effect of artificial intelligence convergence education program that provides STEAM education using machine learning platform on elementary school students' STEAM literacy and learning flow was analyzed. A homogeneous group of 44 elementary school 6th graders was divided into an experimental group and a control group. The control group received 10 lessons of general subject convergence class, and the experimental group received 10 lessons of STEAM-based artificial intelligence convergence education using Machine learning for Kids. To develop the artificial intelligence convergence education program, the goals, achievement standards, and content elements of the 2015 revised curriculum to select subjects and class contents is analyzed. As a result of the STEAM literacy test and the learning flow test, there was a significant difference between the experimental group and the control group. In particular, it can be confirmed that the coding environment in which the artificial intelligence function is expanded has a positive effect on learners' learning flow and STEAM literacy. Among the sub-elements of convergence talent literacy, significant differences were found in the areas of personal competence such as convergence and creativity. Among the sub-elements of learning flow, significant differences were found in the areas such as harmony of challenge and ability, clear goals, focus on tasks, and self-purposed experiences. If further expanded research is conducted in the future, it will be a basic research for more effective education for the future.

• Journal of the Korea Convergence Society
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• v.8 no.6
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• pp.245-253
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• 2017

The purpose of this field experimental study investigated the positive effects of coaching on emotional intelligence and communication competence. The experimental group(39 university students) had to two months of coaching education and four face-to-face coaching sessions. The control group(39 university students) did not have any coaching education and coaching sessions. To conduct ANCOVA, pre-measurement scores for each dependent variables, emotional intelligence and communication competence, were included as covariates and post-measurement scores were included as dependent variables. In control group, there was no difference between before and after measurement for each dependent variables. However, there was statistically significant difference between before and after measurement for each dependent variables in experimental group. This result confirmed that coaching caused increase in the level of emotional intelligence and communication ability.

• Korean Journal of Child Studies
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• v.37 no.5
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• pp.101-116
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• 2016

Objective: This study aimed to investigate how the eco-centered early childhood education by seasonal divisions influences the child's nature-friendly attitude and emotional intelligence. Methods: Forty 5-year-olds from 2 preschools in Gyeonggi were selected through convenience sampling and were divided into the experimental group (21) and the comparative group (19). The experimental group received eco-centered childhood education by seasonal divisions 2 or 3 times a week (33 in total). Pre-post data were collected on both groups and analyzed via t-test and ANCOVAs. Results: The key result was as follows: eco-centered childhood education by seasonal divisions influenced positively the nature-friendly attitude and emotional intelligence of children. Conclusion: Based on the result, it is recommended that eco-centered early childhood education be applied in childhood education and that relevant program be developed. Eco-centered education by seasonal divisions is meaningful in early childhood so that children can be harmonious with the nature. Furthermore, the study should be continued for the development of qualified eco-centered education.

• Korean Journal of Child Studies
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• v.26 no.1
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• pp.329-345
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• 2005

Gender and intelligence of children, parenting practices and socioeconomic status of parents were studied to investigate whether they functioned as protective factors for resilient children. Total of 556 children of 12 years of age were contacted for the study. Teachers were asked to rate the children's interpersonal competence. Children reported their experience of stressful life events on a checklist. Based on the competence scores and the experience of stressful life events, 107 children were classified into adaptive, resilient, and maladaptive group. IQ scores were assessed using an intelligence test for the 107 children. Mothers reported their parenting practices and their socioeconomic status through a questionnaire. Descriptive statistics, chi-squares, t-tests, and one-way ANOVAs were performed to analyze the data. There was no difference in their experience of stressful life events between boys and girls. Girls were rated as being more competent by their teachers. There were more girls in the adaptive and the resilient group and more boys in the maladaptive group. Children in adaptive and the resilient group had higher intelligence scores than the maladaptive group. Mothers of resilient children replied as being warm and acceptive and more refusing and controlling than mothers of the adaptive children Group differences in socioeconomic status of the family were not found. Thus, being a girl and having higher IQ scores were the protective factors for the resilient children.

• Journal of Korean Clinical Health Science
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• v.5 no.3
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• pp.915-924
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• 2017

Purpose. The purpose of this study was to investigate the influence of emotional intelligence, ego-resilience and communication competence in nursing students. Methods. Data was collected from a group of 146 nursing students by means of self reported questionnaires about emotional intelligence, ego-resilience and communication competence in nursing students from the period between February 18, 2017 to March 19, 2017. Results. There were positive correlations between emotional intelligence, ego-resilience and communication competence. Factors influencing the communication competence of nursing students were ego-resilience (${\beta}=.42$, p<.001), Academic achievement (${\beta}=.38$, p=.003)and emotional intelligence (${\beta}=.24$, p=.026). These factors explained 54.8% of the variance in the participants' communication competence (F=60.15, p<.001). Conclusions. In conclusion, strategies for increasing emotional intelligence and ego-resilience of nursing students' ego-resilience, should be developed to improve the communication competence of nursing students.

• 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.