• Journal of Families and Better Life
• /
• v.31 no.3
• /
• pp.49-62
• /
• 2013

The purpose of this study was to investigate the emotional ability between abused children and general children by comparing their emotional intelligence and emotional control. Participants were 17 abused children who had been separated from their abusers and 17 general children, all elementary school students. The answers to the questionnaire items on emotional intelligence and situations of emotional motivation were analyzed by Mann-Whitney U as a study tool. The results of this study were as follows: First, the difference of emotional intelligence between abused children and general children was statistically significant. Abused children received lower scores than general children when it came to their emotional recognition, emotional expression, empathy, and emotional regulation as a subordinate scope of emotional intelligence. Second, the difference of emotional regulation strategy between abused children and general children was statistically significant. Abused children presented negative responses and less frequently used positive strategy, inhibitory avoidance strategy and alternative strategy than general children. Third, the difference of emotional regulation motivation between abused children and general children was statistically significant. Abused children presented less prosocial motivation, motivation of self-preservation and normative motivation than general children.

• KIISE Transactions on Computing Practices
• /
• v.21 no.8
• /
• pp.572-577
• /
• 2015

Generally, the existing Artificial Intelligence (AI) systems were designed for specific purposes and their capabilities handle only specific problems. Alternatively, Artificial General Intelligence can solve new problems as well as those that are already known. Recently, General Video Game Playing the game AI version of General Artificial Intelligence, has garnered a large amount of interest among Game Artificial Intelligence communities. Although video games are the sole concern, the design of a single AI that is capable of playing various video games is not an easy process. In this paper, we propose a GreedyUCB1 algorithm and rollout method that were formulated using the knowledge from a game analysis for the Monte-Carlo Tree Search game AI. An AI that used our method was ranked fourth at the GVG-AI (General Video Game-Artificial Intelligence) competition of the IEEE international conference of CIG (Computational Intelligence in Games) 2014.

• Journal of Home Health Care Nursing
• /
• v.29 no.3
• /
• pp.319-328
• /
• 2022

Purpose: This study investigated the relationship between artificial intelligence ethical awareness, bioethics awareness, and person-centered care of general hospital nurses. Methods: The participants were 192 nurses. Data were analyzed using descriptive statistics, t-test, analysis of variance, and Pearson's correlation coefficient with the SPSS program. Results: The average points for artificial intelligence ethical awareness, bioethics awareness, and person-centered care were 2.93, 2.77, and 3.50, respectively. Artificial intelligence ethical awareness and bioethics awareness had statistically significant negative relationships. Artificial intelligence ethical awareness, bioethics awareness, and person-centered care were not significantly correlated. Conclusion: Education, training, and organizational support are needed to improve artificial intelligence ethics awareness, bioethics awareness, and person-centered care for general hospital nurses.

• Korean Journal of Occupational Health Nursing
• /
• v.29 no.4
• /
• pp.333-341
• /
• 2020

Purpose: This study aimed to determine the mediating effect of emotional intelligence on the relationship between the social support and job satisfaction of general hospital nurses. Methods: The data of 197 nurses in general hospitals located in three different cities were collected for analysis. Collected data were analyzed using the t-test, ANOVA, Scheffé test, Pearson's correlation coefficients, and hierarchical multiple regression with SPSS/WIN 23.0. Results: The social support of the subjects showed positive correlations with job satisfaction (r=.56, p<.001) and emotional intelligence (r=.42, p<.001). Emotional intelligence and job satisfaction were positively correlated (r=.54, p<.001). Emotional intelligence was found to perform the partial mediation in the relationship between social support and job satisfaction. Conclusion: To improve job satisfaction, an organizational culture which enhances social support may be required as an intervention strategy, and programs should be developed to induce positive emotional intelligence.

• Journal of Gifted/Talented Education
• /
• v.24 no.5
• /
• pp.829-849
• /
• 2014

The purposes of this study were to compare elementary gifted students with general students in respect of their character strengths, emotional intelligence and learning flow and to analyze the relationships. The results obtained in this study were as follows. First, the character strengths, emotional intelligence, and learning flow of the gifted students were higher than those of the general students. Humanity was the highest virtue for both gifted and general students. Gifted students showed a significantly lower mean difference in humility and modesty than that of general students. The gifted students showed a statistically higher mean value in the sub-regions of emotional intelligence and all sub-areas of the learning flow than that of the general students. Second, the strong correlations were found between character strengths and emotional intelligence, between character strengths and learning flow in gifted students. Third, the results showed that the character strengths of gifted students affected their emotional intelligence and learning flow significantly.

• Journal of Korean Elementary Science Education
• /
• v.32 no.1
• /
• pp.36-46
• /
• 2013

The creative thinking and emotional trainings are very important educational issues in the knowledge-information-based future society. Recently STEAM education is suggested as one of the educational solutions to prepare the future society. The aims of this study are to develop STEAM teaching-learning program and analyze its effects on the creativity and emotional intelligence of science-gifted and general students in elementary school. Four different subject matters based on the 2007-revised curriculum were selected to construct the brain-based STEAM teaching-learning program consisting of 12 class hours. The program was applied to 50 elementary general students and 19 science-gifted elementary students. The findings of this research are as follows. The brain-based STEAM programs is effective to improve the creativity and emotional intelligence of science-gifted and general elementary students after class. The creativity of two groups was not statistically different before the class. However after class, the creativity of gifted-science students is significantly higher than that of general students. The emotional intelligence of gifted-science students was higher than that of general students before the class. Therefore in oder to analyze the different effects of the program on two groups in emotional intelligence, the test results of both group of students were analyzed by ANCOVA after class. This analysis also showed that the program is more effective in gifted-science students to improve the emotional intelligence compared to general students.

• Korean Journal of Cognitive Science
• /
• v.15 no.4
• /
• pp.61-66
• /
• 2004

I think constructivism can be considered as the new count proposal for understanding human to Cartesian rationalism. Constructivism has the common area not only with recent results of evolutionary biology, evolutionary psychology. brain science, system theory, and complex adaptive system but also with recent trends of humanities, and social science. In artificial intelligence, the studies which can be considered as constructivistic methods is going on. In this paper, from a constructivistic pint of view, to broaden the concept of intelligence in artificial intelligenve, I will examine constructivistic methodologies to intelligent machine and look about the artificial intelligence techniques which are constructivistic. Throughout such a discussion I want to promote the integral understanding of various kinds of mind theories and techniques, and pave the way of general intelligence in artificial intelligence.

• Educational Technology International
• /
• v.8 no.1
• /
• pp.1-16
• /
• 2007

The general aim of this article is to explicate what can be researched in our field based on the new understanding on the ability of human visual intelligence. To follow this aim, three key discussions were followed. The first is to explain why the human visual intelligence research is so important in our field and how it was neglected. The basic orientations of the research questions used in its framing and in answering are reviewed. After reviewing traditional research orientations, as the second discussion, alternative, more useful perspective for thinking about human visual intelligence is suggested. And the possibility of contribution for the future research in general is discussed. In doing so, human visual intelligence was defined in rather practically oriented ways rather than theoretically oriented ones. More practical perspectives were suggested. The third discussion is to show how to use the alternative perspectives of human visual intelligence in the areas of educational technology research. It was hoped that the article lays out conceptual groundwork for generation of educational technology research frameworks which can be used for the research conduct, reproduction and sharing by adopting practically oriented views on human visual intelligence as a new territory of educational technology research.

• Clinical Endoscopy
• /
• v.57 no.1
• /
• pp.24-35
• /
• 2024

The field of artificial intelligence is rapidly evolving, and there has been an interest in its use to predict the risk of lymph node metastasis in T1 colorectal cancer. Accurately predicting lymph node invasion may result in fewer patients undergoing unnecessary surgeries; conversely, inadequate assessments will result in suboptimal oncological outcomes. This narrative review aims to summarize the current literature on deep learning for predicting the probability of lymph node metastasis in T1 colorectal cancer, highlighting areas of potential application and barriers that may limit its generalizability and clinical utility.

• Journal of Gifted/Talented Education
• /
• v.22 no.4
• /
• pp.943-966
• /
• 2012

The purpose of this research was to compare the leadership characteristics and emotional intelligence between scientifically gifted middle school students and general students and to investigate the emotional intelligence's effects on leadership characteristics. For this study, 150 scientifically gifted middle school students and 130 general students were participated. The results obtained from this study were as follows. First, the total score of leadership characteristic and sub-domains of leadership characteristic showed significant difference. The leadership characteristic of the gifted students turned out to be significantly higher than that of general students. Investigating gender difference, it showed that the score of girls significantly higher than that of boys in some sub-domain both gifted and general students. Second, the total score of emotional intelligence and sub-domains of emotional intelligence showed significant difference. There were significant differences between the two groups in 'thinking-acceleration ability by emotion' and 'ability of utilizing emotional knowledge'. Investigating gender difference, it showed that the score of girls significantly higher than that of boys in some sub-domain both gifted and general students. Third, it proved to be significantly positive correlation between leadership characteristic and emotional intelligence of gifted middle school students. Forth, the gifted students' emotional intelligence affected leadership characteristic significantly by multiple regression analysis.