• Journal of Information Technology Services
• /
• v.20 no.1
• /
• pp.67-79
• /
• 2021

The advent of the 4th Industrial Revolution is also causing many changes in defense operations. Defense reform and the fourth industrial revolution promoted smart defense innovation, and attempts are being made to incorporate cutting-edge science and technology into various fields such as weapons systems and defense operations. Education and training is one of the areas in which information and intelligence are urgently needed in the spirit of defense operations. Due to the nature of defense education and training, which aims to fight against the enemy, there is no emphasis on psychological training in the field rather than informatization, but in developed countries with various experiences of modern warfare, investment and vitalization of education and training are vital. Through this, efforts are being made to foster soldiers with problem-solving skills in uncertain battlefields. The informatization and intelligence of defense education and training is no longer a matter that can be delayed, and the innovation of education and training using cutting-edge science and technology can be said to be an age-old task to improve the results of education and training in the fourth industrial revolution. The purpose of this is because the application of related technologies is not the goal itself as the 4th Industrial Revolution arrives, but it has been made possible through the rapid advancement of science and technology that has made it difficult to realize education and training, even though it has long been desired. Ultimately, education and training data will be integrated and artificial intelligence-based intelligent learning systems will maximize the performance of education and training, thereby improving the combat readiness.

• Clinical Psychopharmacology and Neuroscience
• /
• v.16 no.4
• /
• pp.391-397
• /
• 2018

Objective: Meditation can elicit trait-like changes in psychological and social styles, as well as enhancement of emotional regulatory capacity. We investigated the relation between personality traits and emotional intelligence in meditation practitioners. Methods: Seventy-two long-term practitioners of mind-body training (MBT) and 62 healthy comparative individuals participated in the study. The participants completed emotional intelligence questionnaires and the Myers-Briggs Type Indicator (MBTI). Results: The MBT group revealed higher scores on all five emotional intelligence factors than did those in the control group, such as emotional awareness and expression, empathy, emotional thinking, emotional application, and emotional regulation (all $p{\leq}0.001$). MBT practitioners also had higher scores on the intuition of perceiving function (t=-2.635, p=0.010) and on the feeling of the judging function (t=-3.340, p=0.001) of the MBTI compared with those in the control group. Only the MBT group showed a robust relationship with every factor of emotional intelligence and MBTI-defined intuitive styles, indicating that higher scores of emotional intelligence were related to higher scores for intuition. Conclusion: Emotional intelligence of meditation practitioners showed notable relationships with some features of personality trait. In-depth associations between emotional intelligence and personality traits would help to foster psychological functions in meditation practitioners.

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

• International Journal of Computer Science & Network Security
• /
• v.22 no.6
• /
• pp.25-32
• /
• 2022

The hypothesis of the study of the article is that the use of elements of artificial intelligence will increase the effectiveness of the educational process of the university if: a set of pedagogical conditions for the construction and use of an expert system with elements of artificial intelligence in the educational process of the university is revealed; a model for preparing a future teacher of vocational training for the use of elements of artificial intelligence has been developed; a special course has been developed that contributes to the implementation of the professional orientation of education. In accordance with this, the following tasks were studied in the article: An analysis of scientific and methodological research in the field of the current state, prospects for the development and use of elements of artificial intelligence in the preparation of a future teacher of vocational training and to determine the dynamics of the introduction of intelligent expert systems in education; A set of pedagogical conditions for the construction and use of an expert system with elements of artificial intelligence in the educational process of a university is revealed; It is substantiated to develop a model for preparing a teacher of vocational training to use elements of artificial intelligence.

• Korean Journal of Child Studies
• /
• v.21 no.2
• /
• pp.33-44
• /
• 2000

In this study, a random sample of 111 six-year-old children were assigned to one of 3 experimental conditions: categorization training using cognitive apprenticeship, categorization training using metacognitive procedures, and no categorization training. Level of intelligence was measured by Raven's(1986) Coloured Progressive Matrics(CPM). No difference was found between apprenticeship and metacognitive training in the high CPM children. In the middle and low CPM levels, cognitive apprenticeship training was more efficient than metacognitive training. This indicates that cognitive apprenticeship, which emphasizes the thinkaloud procedure of both the experts and the novice though modeling and coaching for self-implementation, is a more effective approach than the metacognitive approach for categorization in middle and low CPM children.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.19 no.6
• /
• pp.280-290
• /
• 2018

This study was a non-equivalence-based Quasi experimental study comparing the difference in communication ability, emotional intelligence (EQ), self-esteem, and interpersonal abilities between an experimental group with communication training and a non-control group. The subjects of the study were nurses working for D university hospital located in C city and comprised an experimental group of 21 people and a control group of 21 people. From April to May 2017, the experimental group took communication training programs, which were designed to improve communication capacity, emotional intelligence, self-esteem, and interpersonal ability for a total of four sessions (for 2 hours a week), and pre-post examination was conducted for the validity of the study. For data analysis, the SPSS for Windows 23 was used for the mean and standard deviation of pre-post tests, and U-test of the independent sample Mann-Whitney and the Wilcoxon code order test of the corresponding sample were carried out. The study results indicate that, compared with the control group, the experimental group showed communication capacity (Z=-3.361, p<.05), emotional intelligence (Z=-2.209, p<.05), self-esteem (Z=-1.633, p<.05), and interpersonal relationship (Z=-2.577, p<.05). After the communication training program, scores of communication capacity, emotional intelligence (EQ), self-esteem, and interpersonal competence of the experimental group increased significantly, and all hypotheses were supported. These results suggest that nurses' use of communication training experience in performing nursing work in a clinical setting would improve communication skills, emotional intelligence (EQ), self-esteem, and interpersonal skills and provide therapeutic communication and effective nursing, thereby enhancing patients' satisfaction and contributing to the improvement of nursing quality.

• Health Policy and Management
• /
• v.28 no.3
• /
• pp.294-300
• /
• 2018

The development and management of epidemiology intelligence service (EIS) officer with more specialized competence to cope with and prepare for health threats, including pandemic of emerging and re-emerging infectious diseases, is a high priority policy issue in Korea. First of all, we need to establish the training goal of EIS officer. It is necessary to establish manpower training and management system with at least three tiers including quantitative and qualitative targets. Second, at least 50% of all EIS officer must secure a physician and secure expertise and competence for epidemic. Third, for the ultimate purpose of EIS officer, the establishment of a public health expert should expand the scope of epidemiologist's work to health and medical care, occupational environment, and various disasters. Fourth, it is essential to expand the epidemiologist training and education program to the level of advanced countries. Especially, the training course should be expanded at least twice of current times. Fifth, it is necessary to independently install and operate the 'EIS Officer Training Center' as a mid- and long-term goal. Stewardship and governance are secured with the organization, personnel, etc. that can fully manage the planning, management, and evaluation of the EIS system. In the future, it will be necessary to establish a systematic and phased operational base of education and training programs for EIS officer, and establish a sustainable implementation system for strategy development. In addition, it is urgent to revise the guidelines for training public health professionals and strengthening competencies, and for establishing professional educational institutions.

• Journal of The Korean Association of Information Education
• /
• v.25 no.6
• /
• pp.1015-1024
• /
• 2021

There are various educational programming environments in which students can train artificial intelligence (AI) using block-based programming languages, such as Entry, Machine Learning for Kids, and Teachable Machine. However, these programming environments are designed so that students can train AI through a separate menu, and then use the trained model in the code editor. These approaches have the advantage that students can check the training process more intuitively, but there is also the disadvantage that both the training menu and the code editor must be used. In this paper, we present a novel artificial intelligence block that can perform both AI training and programming in the code editor. While this AI block is presented as a Scratch block, the training process is performed through a Python server. We describe the blocks in detail through the process of training a model to classify a blue pen and a red pen, and a model to classify a dental mask and a KF94 mask. Also, we experimentally show that our approach is not significantly different from Teachable Machine in terms of performance.

• Korean Journal of Artificial Intelligence
• /
• v.5 no.1
• /
• pp.29-37
• /
• 2017

The range of problems that can be handled by the activation of big data and the development of hardware has been rapidly expanded and machine learning such as deep learning has become a very versatile technology. In this paper, mnist data set is used as experimental data, and the Cross Entropy function is used as a loss model for evaluating the efficiency of machine learning, and the value of the loss function in the steepest descent method is We applied the Gradient Descent Optimize algorithm to minimize and updated weight and bias via backpropagation. In this way we analyze optimal reliability value corresponding to the number of exercises and optimal reliability value without overfitting. And comparing the overfitting time according to the number of data changes based on the number of training times, when the training frequency was 1110 times, we obtained the result of 92%, which is the optimal reliability value without overfitting.

• Korean Journal of Radiology
• /
• v.24 no.5
• /
• pp.478-479
• /
• 2023