• Journal of Korean Clinical Health Science
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• v.8 no.1
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• pp.1355-1361
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• 2020

Purpose: This study was conducted to investigate the effect of flipped-learning method on dental hygiene practice satisfaction. Methods: The study was a patient-group crossover design involving 53 third-year students at D's Department of Dental Hygiene. The study tools used self-questionnair and the analysis program used SPSS Ver 25.0. Results: Class satisfaction increased to 3.85 in the first semester and 4.23 in the second semester (p <0.05). Satisfaction with the flip learning method was 4.26, and most answered yes. In addition, it showed a positive effect on class satisfaction (p <0.01). As a result, it can be seen that the flip-learning learning method has a positive effect on the learners' learning motivation, academic achievement, and class satisfaction. Conclusions: it is considered that the flip learning method for hands-on classes should be expanded for the purpose of fostering job competency and high quality clinical practice experts.

• Proceedings of the Korea Database Society Conference
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• 1997.10a
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• pp.215-269
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• 1997

Outline $\textbullet$ Introduction $\textbullet$ Multimedia - Types of Data - Motivation - Key issue - Hardware Products - Application Areas $\textbullet$ Agents - Rationale for Agents - Sedentary vs. Mobile - Functional Categories - Application Areas $\textbullet$ Data Mining - 2-D Framework for Data Mining Tools - Classification of Tool - Application Areas - Learning Methodologies ＊ Case Based Reasoning ＊ Neural Networks ＊ Statistical Learning： Orthogonal Arrays ＊ Multi-strategy Learning $\textbullet$ Case Study - Finbot $\textbullet$ Conclusion

• The Journal of Information Systems
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• v.2
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• pp.194-206
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• 1993

Intelligent remote learning system is a system that incorporate communication technology and others : a database engine, an intelligent tutorial system. Learners can study by themselves through the intelligent tutorial system. The existence of a communication, database and artificial intelligence enhance the capability of IRLS. According to Parsaye, an intelligent databases should have the following features : 1) Knowledge discovery. 2) Data integrity and quality control. 3) Hypermedia management. 4) Data presentation and display. 5) Decision support and scenario analysis. 6) Data format management. 7) Intelligent system design tools. I hope that this research of framework for IRLS paves for the future research. As mentioned in the above, the future work will include an intelligent database, self-learning mechanism using neural network.

• Proceedings of the Korea Contents Association Conference
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• 2003.11a
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• pp.53-59
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• 2003

Recently, social interest are increasing to e-learning system. for realizing efficient e-teaming system, reports plagiarism inspection is the most important topic. This paper describes the methods of reports plagiarism inspection and analyzing the S/W tools to implement e-learning system.

• The Journal of the Korea Contents Association
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• v.14 no.4
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• pp.513-521
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• 2014

The purpose of this research is to develope and implement a convergent educational contents based on theoretical background of integrated education using agent based modeling in the ubiquitous learning environment. The structure of this contents consists of three modules that were designed by trans-disciplinary concept and situated learning theory. These three modules are: convergent problem presenting module, resource of knowledge module and learning of agent based modeling and IT tools module. After the satisfaction survey of the implemented content, out of 5 total value, the average value was 3.86 for effectiveness, 4.13 for convenience and 3.86 for design. The result of the survey shows that the users are generally satisfied. By using this u-learning contents, learners can experience and learn how to solve the convergent problem by utilizing IT tools without any limitation of device, time and space. At the same time, the proposal of structural design of contents can be a good guideline to the researchers to develop the convergent educational contents in the future.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.4
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• pp.232-237
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• 2020

Given the recent pace of development and expansion of Artificial Intelligence (AI) technology, the influence and ripple effects of AI technology on the whole of our lives will be very large and spread rapidly. The National Artificial Intelligence R&D Strategy, published in 2019, emphasizes the importance of artificial intelligence education for K-12 students. It also mentions STEM education, AI convergence curriculum, and budget for supporting the development of teaching materials and tools. However, it is necessary to create a new type of curriculum at a time when artificial intelligence curriculum has never existed before. With many attempts and discussions going very fast in all countries on almost the same starting line. Also, there is no suitable professor for K-12 students, and it is difficult to make K-12 students understand the concept of AI. In particular, it is difficult to teach elementary school students through professional programming in AI education. It is also difficult to learn tools that can teach AI concepts. In this paper, we propose an educational model for elementary school students to improve their understanding of AI through play or experience. This an experiential education model that combineds exploratory learning and discovery learning using multi-intelligence and the PLAY teaching-learning model to undertand the importance of data training or data required for AI education. This educational model is designed to learn how a computer that knows only binary numbers through UA recognizes images. Through code.org, students were trained to learn AI robots and configured to understand data bias like play. In addition, by learning images directly on a computer through TeachableMachine, a tool capable of supervised learning, to understand the concept of dataset, learning process, and accuracy, and proposed the process of AI inference.

• Education of Primary School Mathematics
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• v.23 no.1
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• pp.27-44
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• 2020

In this study, we extracted geometrical learning content that is treated similarly in elementary and middle schools, and analyzed the differences between how this study is handled in elementary and middle schools. The analysis tools used in this study were developed by referring to the research results presented by Merrill. Merrill classified the study results into two dimensions: 'performance level' and 'content type', and 'teach station' and 'proposal type' by presenting the contents in the textbook. Based on this classification, this study was conducted. According to the results of the study, nine achievement criteria were extracted as learning factors that were treated similarly in elementary and middle schools. The extracted learning elements were systematically analyzed through analysis tools. The results of this study are expected to provide significant implications for the improvement of mathematics learning and for the improvement of new curricula.

• The Journal of the Korea Contents Association
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• v.14 no.7
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• pp.18-28
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• 2014

With the reformation of organization and function of local office of education in 2010, consulting-supervision is introduced to schools as a system for education reform to improve the quality of school education. However, a dedicated on-line portal system that can provide integrated management on the functionalities of consulting-supervision has not been implemented yet. To successfully operate consulting-supervision in schools, it is also needed to provide an on-line consultant education system, that can support teachers to train themselves as a supervision-consultant. In this paper, we introduce an on-line consultant training system that provides various learning activity tools for consultant training based on Learning Activity Management System(LAMS) and Action Learning. The system consists of Management stage, Analysis stage, Solution stage, and Action stage for the empowerment of consultants' expertises, and is named as MASA. Brain-writing, SWOT(Strengths, Weaknesses, Opportunities, and Threads) analysis, 5Whys, decision grid, PMI(Plus, Minus, Interesting), and black chart techniques were developed in MASA as learning activity tools for consultant training.

• Journal of Ocean Engineering and Technology
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• v.36 no.3
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• pp.194-210
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• 2022

Recently, an analysis method using machine learning for solving problems in coastal and ocean engineering has been highlighted. Machine learning models are effective modeling tools for predicting specific parameters by learning complex relationships based on a specified dataset. In coastal and ocean engineering, various studies have been conducted to predict dependent variables such as wave parameters, tides, storm surges, design parameters, and shoreline fluctuations. Herein, we introduce and describe the application trend of machine learning models in coastal and ocean engineering. Based on the results of various studies, machine learning models are an effective alternative to approaches involving data requirements, time-consuming fluid dynamics, and numerical models. In addition, machine learning can be successfully applied for solving various problems in coastal and ocean engineering. However, to achieve accurate predictions, model development should be conducted in addition to data preprocessing and cost calculation. Furthermore, applicability to various systems and quantifiable evaluations of uncertainty should be considered.

• Journal of The Korean Association of Information Education
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• v.18 no.2
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• pp.235-242
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• 2014

Many famous institutes or associations select ICT ability by major ability to need in 21C's information-oriented society. Korea Association of Information Education have studied a new curriculum and suggest a new plan that content of information education classify by 'computer system', 'SW production' and 'fusion activity'. Therefore we study on productivity tools of elementary and middle school. In this paper we firstly suggest object to achieve on productivity tools of elementary and middle school. Next we suggest teaching learning method and evaluation method on productivity tools. we expect that the object to achieve on productivity tools we suggest will contribute to develop the curriculum of ICT subject.