• International Journal of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.163-168
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• 2024

Technologies that are considered to be a part of the fourth industrial revolution include holograms, augmented reality, and virtual reality. As technology advances, the industry's scale is growing quickly as well. While the development of technology for direct use is moving slowly, awareness of floating holograms-which are considered realistic content-is growing as the industry's scale and rate of technological advancement continue to accelerate. Specifically, holograms that have been incorporated into museums and exhibition spaces are static forms of content that viewers gaze at inertly. Additionally, their use in educational fields is very passive and has a low rate of utilization. Therefore, in order to improve usability from the viewpoint of viewers of realistic content, such as exhibition halls or museums, we introduce realistic content control technology in this study using a machine learning framework to recognize hands. It is anticipated that using the study's findings, manipulating realistic content independently will enhance comprehension of objects presented as realistic content and boost its applicability in the industrial and educational domains.

• Journal of KIISE:Computer Systems and Theory
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• v.33 no.12
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• pp.885-893
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• 2006

The Bayesian network(BN) has emerged in recent years as a powerful technique for handling uncertainty iii complex domains. Parameter learning of BN to find the most proper network from given data set has been investigated to decrease the time and effort for designing BN. Off-line learning needs much time and effort to gather the enough data and since there are uncertainties in real world, it is hard to get the complete data. In this paper, we propose an online learning method of Bayesian network parameters from incomplete data. It provides higher flexibility through learning from incomplete data and higher adaptability on environments through online learning. The results of comparison with Voting EM algorithm proposed by Cohen at el. confirm that the proposed method has the same performance in complete data set and higher performance in incomplete data set, comparing with Voting EM algorithm.

• Hwankyungkyoyuk
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• v.18 no.3 s.28
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• pp.1-18
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• 2005

In the sustainable waste management, the necessity of environmental education which improves acquisition of the knowledge, attitudes and values for the environment is being emphasized to help students make environmentally desirable decision and promote responsible environmental behavior. However, the environmental education in high schools, as a whole, would be susceptible to many problems caused by tile educational administration focusing only on the college entrance examination. Therefore, this study modifies and applies a program using four teaching/learning methods (Investigation study, Internet-based learning, Field work, Issue analysis study) which deals with the sustainable waste management as the learning subject for the environmental education, and tries to find its effects on the students' environmental sensitivity and environmental conservation behavior in high schools. The main results of this study are summarized as fellows. First, the waste management program had little influence on the environmental sensitivity of experimental groups, while it had positive effect on their improvement of the environmental conservation behavior. Second, there were little meaningful effect on general environmental conservation behavior, but there were some significant results to environmental conservation behavior related to the sustainable waste management. In addition, positive results were found in ecomanagement and consumerism, whereas there were no meaningful results about in persuasion and legal action, which were sub-domains of the waste management program. Among the waste management programs, the school waste investigation study had the most positive effect on the students' recognition and solution of environmental problems as well as improvement of environmental conservation behavior. The easiest one of the four teaching/learning methods was the Internet-based learning, while the most difficult one of them was the issue analysis study. Consequently, in order to achieve the goals of the environmental education in the academic field, there has to be selected the most suitable one of the teaching/learning methods and to be applied to the class, according to the detailed objectives and loaming contents for the environmental education.

• Journal of The Korean Society of Integrative Medicine
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• v.11 no.1
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• pp.71-78
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• 2023

Purpose : This study was purposed to analyze the effectiveness of PBL (Problem-Based Learning) classes and to derive class improvement plans. Methods : The subjects of the study were 48 students who took the 4th grade clinical dental hygiene course at S University located in Chungcheongnam-do of South Korea in 2021. A single-group pre and post experimental study was designed to verify whether there were significant changes in the research variables of students who participated in the class to which problem-based learning was applied. A paired-sample t-test was conducted for the collected data of 46 respondents. Results : As a result, the degree of improvement in problem clarification, cause analysis, and alternative development among the five sub-areas of problem-solving ability was statistically significant. This means that the problem-based learning class positively affects dental hygiene major students' ability to clarify problems, the ability to analyze causes to collect and analyze information, and the ability to develop alternatives to make decisions, thereby improving overall problem-solving abilities. However, the improved post-score was not statistically significant in the planning/execution and performance evaluation of the remaining two subdomains. In addition, post-scores of the leader aspect, opinion exchange, opinion evaluation, and opinion integration, which are sub-domains of collaborative self-efficacy, all showed great statistical significance. Problem-based learning improved the collaborative efficacy of dental hygiene major students overall by positively influencing the ability to lead a team, exchange and evaluate each other's views, and constructively integrate different views. Conclusion : It was found that both the subject's problem-solving ability and cooperation efficiency improved under the influence of problem-based learning. On the other hand, implications for improvement of the future class such as the necessity of supplementing strategies to promote planning and execution ability for problem solving, and ability to evaluate problem solving performance was suggested.

• The Journal of the Korea Contents Association
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• v.16 no.8
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• pp.1-9
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• 2016

In accordance with the increased political and social utilization of social media, demands on online trend analysis and monitoring technologies based on social bigdata are also increasing rapidly. In this paper, we define 'risk' as issues which have probability of turn to negative public opinion among big social issues and classify their types in details. To define risk types, we conduct a complete survey on news documents and analyzed characteristics according to issue domains. We also investigate cross-medias analysis to find out how different public media and personalized social media. At the result, we define 58 risk types for 6 domains and developed automatic classification model based on machine learning algorithm. Based on empirical experiments, we prove the possibility of automatic detection for social issue risk in social media.

• Journal of Korean Elementary Science Education
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• v.35 no.1
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• pp.1-12
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• 2016

The purpose of this study was to analyze question's patterns in elementary school science teacher's guide books of 5, 6th grade under the 2009 revised curriculum. A modified analysis framework based on Blosser's classified system was used to analyze 1,982 questions extracted from elementary science teacher's guide books by grade, by domain, and by teaching and learning stage. The findings of this study were as follows. First, of the 1,982 questions, the most prominent type of question was the propositional question and the following was the reproductive question. And, in comparing the question's patterns between 5, 6th grade, it was found that 6th grade had higher rate of close typed question, while 5th grade had higher rate of open typed question in its curriculum. Secondly, a comparative study about two domains, material and energy science domain and earth and life science domain, showed that the number of questions of each domain was not much different. However, it was found that propositional questions and applicable questions showed a higher rate in material and energy science domain, and anticipated questions and open typed questions including divergent and evaluative question showed higher rate in earth and life science domain. Moreover, although the total number of questions from integration and my fun research domain's contents was small, the rate of open typed questions was higher than any other domains. Finally, as a result of comparing and analyzing question's pattern in teaching and learning stages, the rate of reproductive question and anticipated questions was high at the stage of introduction. At the stage of development, the rate of propositional and reproductive questions was high. At the stage of conclusion, the rate of synthetic and applicable questions was high.

• Journal of Korean Elementary Science Education
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• v.24 no.1
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• pp.86-101
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• 2005

In this study, a brain-basrd model for science teaching and learning was developed based on the natural processes which human acquire knowledge about a natural object or on event, the major domains of science educational objectives of the national curriculum, and the human brain's organizational patterns and functions. In the model, each educational objective domain is related to the brain regions as follows: The affective domain is related to the limbic system, especially amygdala of human brain which is involved in emotions, the psychomotor domain is related to the occipital lobes of human brain which perform visual processing, temporal lobes which perform functions of language generating and understandng, and parietal lobes which receive and process sensory information and execute motor activities of body, and the cognitive domain is related to the frontal and prefrontal lobes which are involved in think-ing, planning, judging, and problem solving. The model is a kind of procedural model which proceed fiom affective domain to psychomotor domain, and to cognitive domain of science educational objective system, and emphasize the order of each step and authentic assessment at each step. The model has both properties of circularity and network of activities. At classrooms, the model can be used as various forms according to subjects and student characteristics. STS themes can be appropriately covered by the model.

• Journal of The Korean Association of Information Education
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• v.26 no.3
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• pp.219-227
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• 2022

Students are always preparing for remote classes while taking face-to-face classes due to COVID-19. However, it is true that the class satisfaction with distance learning is not high for students and teachers. The idea that even if remote classes are conducted at home, it would be nice to have classes together like real ones, the need for a virtual world education program that utilizes augmented reality and virtual reality based on the metaverse has emerged. However, there are very few studies that teachers try to apply them to their classes. In this study, a metaverse application curriculum was presented for elementary science and 'space' domains. To implement the metaverse, ZEPETO and COSPACIS EDU were used. In the analysis of content creation with students and evaluation with schoolmates, this study showed that the concentration of learning was increased and creativity improved in the 'real', 'individual', and 'society' domains.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.21 no.2
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• pp.534-540
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• 1996

This paper presents an Adaptive Time-Delay Recurrent Neural Network (ATRN) for learning and recognition of temporal correlations of temporal patterns. The ATRN employs adaptive time-delays and recurrent connections, which are inspired from neurobiology. In the ATRN, the adaptive time-delays make the ATRN choose the optimal values of time-delays for the temporal location of the important information in the input parrerns, and the recurrent connections enable the network to encode and integrate temporal information of sequences which have arbitrary interval time and arbitrary length of temporal context. The ATRN described in this paper, ATNN proposed by Lin, and TDNN introduced by Waibel were simulated and applied to the chaotic time series preditcion of Mackey-Glass delay-differential equation. The simulation results show that the normalized mean square error (NMSE) of ATRN is 0.0026, while the NMSE values of ATNN and TDNN are 0.014, 0.0117, respectively, and in temporal learning, employing recurrent links in the network is more effective than putting multiple time-delays into the neurons. The best performance is attained bythe ATRN. This ATRN will be sell applicable for temporally continuous domains, such as speech recognition, moving object recognition, motor control, and time-series prediction.

• Hwankyungkyoyuk
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• v.19 no.3
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• pp.1-19
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• 2006

The purpose of the study was to develop an environmental cyber inservice education program for middle school teacher. The blended environmental cyber inservice education program was developed, through reviewing literatures, analyzing domestic and foreign's environmental inservice education programs and e-Learning contents, and experts conference. And, Pragram validity was evaluated by environmental education experts. Program development stage was confirmed five stage: (1) foundational analysis, (2) planning, (3) design, (4) production, and (5) evaluation. The developed contents for middle school teachers were consisted of 3 domains: (1) Foundation of Environmental Education, (2) Understanding about Environment, (3) Strategy for School Environmental Education. The contents of each sessions were selected considering synthetically objectives, themes and components of environmental education and structured of 62 hours Course totally. Developed program evaluated by 8 environmental education experts according to 10 evaluation item of total contents and contents development structure. In result, it evaluated comparatively high score. Based on the results, some recommendations were suggested.