• Journal of The Korean Association of Information Education
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• v.21 no.5
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• pp.583-593
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• 2017

In order to overcome the difficulties of programming education for beginners, various research strategies such as UMC(Use-Modify-Create), design based learning, discovery learning and play learning are applied. In this study, we developed a HVC(History-VR Coding-Collaboration) learning strategy model for the improvement of learner's computational thinking. The HVC model is composed of a combination module of block type. We developed a 12th session storytelling - based virtual reality programming curriculum. As a result, HVC model and SW education program showed significant difference in improvement of learner's computational thinking.

• Research in Community and Public Health Nursing
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• v.18 no.1
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• pp.156-164
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• 2007

Purpose: This study was to investigate adequate strategies of PBL in community health nursing for learning in the real community situation. Method: Data were collected in a PBL class of 14 third-year students who solved problems and assessed PBL in community health nursing related to visiting nursing and chronic diseases. Results: The students guessed situations diversely, chose learning issues widely and mapped the learning concepts specifically. In the assessment of the presentation, the peers of the same group gave the highest score $29.00{\pm}3.36$, the tutor lowest score $22.83{\pm}5.15$. In 5-point Likerts scale, the group dynamic was highest ($4.18{\pm}.61$) and the presentation was lowest ($3.59{\pm}.84$). Conclusion: The group needs to include students who have experiences in the practice at the health centers. The PBL class should be managed by the block system along with the conventional learning. Students needs to practice the self-directed learning and the presentation in a first semester and then PBL. The introduction of community health nursing begins with the conventional lecture and the programs on life circle and health centers through PBL in the comprehensive curriculums.

• English Language & Literature Teaching
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• v.13 no.2
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• pp.25-45
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• 2007

In this article, I discuss an International Collaborative Writing Course on the Internet (ICWCI) that focused on the learning effectiveness Korean EFL students (KEFLSs) perceived to be necessary to exchange with international EFL students (IEFLSs). The course development was based on an internet-based instructional module, applying widely accepted EFL theories for modern foreign language instruction: collaborative learning, process writing, project-based learning, and integrated approaches. Data from online discussion forum, mid-of-semester and end-of-semester surveys, and final oral interviews are conducted and discussed. KEFLSs and IEFLSs were questioned about (a) changes in attitude towards computers assisted language learning (CALL); (b) effect of computer background on motivation; (c) perception of their acquired writing skills; and (d) attitude towards collaborative learning. The result of this study demonstrated that the majority of ICWCI participants said they enjoyed the course, gained fruitful confidence in English communication and computer skills, and felt that they made significant progress in writing skills. In spite of positive benefits created by the ICWCI, it was found that there were some issues that are crucial to run appropriate networked collaborative courses. This study demonstrates that participants' computer skills, basic language proficiency, and local time differences are important factors to be considered when incorporating the ICWCI as these may affect the quality of online instructional courses and students' motivation toward network based collaboration interaction.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.5
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• pp.601-605
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• 2010

In this paper, we propose a GBL(Game Based Learning) content of intelligent tutoring capability. The objective of our GBL content is to learn the Karnaugh Map which is generally used to simplify boolean functions. Our GBL content well-motivates learners with interesting game-based scenarios and also, through an intelligent tutoring module, gives learners adaptive feedbacks such as hints and explanations while maintaining learners' contextual immersion. Additionally, we identified significant improvement in terms of learning effectiveness by analyzing the test results of two (experimental and controlled) student groups learning the Karnaugh Map.

• Journal of Engineering Education Research
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• v.26 no.1
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• pp.27-36
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• 2023

The purpose of this study was to investigate high school students' competencies of creativity thinking, critical thinking, communication, collaboration, and digital competence by implementing science fiction STEAM program. Based on the story of 'Fritz Haber' and the 'Garden of Dawn', a STEAM program was developed according to the ADDIE model. In the analysis stage, the purpose of the teaching-learning program using novels was set, and learners and learning environments were analyzed. At the design stage, the novels 'Fritz Harbor' and 'Garden of Dawn' were selected, learning goals were set according to the achievement standards of the curriculum, and learning contents and learning activities were sequenced and designed. In the development stage, teaching and learning materials were developed in a module format, implemented to classes, and evaluated. Pre-test and post-tests were conducted to identify the five major competencies such as creativity thinking, critical thinking, communication, collaboration, digital competence. The collected data was verified by paired t-test using SPSS. The results of the study showed statistically significant results in creative thinking, critical thinking, and digital competency.

• The Korean Journal of Emergency Medical Services
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• v.7 no.1
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• pp.5-28
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• 2003

The purpose of this study which was conducted by framing of standardized advanced emergency care instructor qualification course outline and training competent instructor Course development based on following educational principle and it would be expected more improved aspect. Advanced Emergency care Instructor Qualification Course Development (1) based on advanced emergency care instructor job analysis and paramedic job description. (2) Learning of emergency care instructor qualification course is continuous. It is important to begin at the learner's level of knowledge and to relate new learning to information the learner needs. (3) Learning of emergency care instructor qualification course is purposeful and must make sense to the learner. Progress in learning must make sense to the learner. Progress in learning must be constantly appraised through feedback. The purpose of learning BLS information and skills must be kept in sharp focus. (4) Learning involves as many senses as possible. The more stimulating a learner activity is to the senses, the longer the information will be retained. Conservative figures indicate that 75% of what is heard is for-gotten after 2 days. It has been said that learners remember (5) Learning activities must be appropriate for the emergency situation through the PBL educational method. In BLS lecture skill learning, the greatest proportion of class time should be spent in manikin practice, using performance sheets as a learning tool or guide. (6) Learning must be stimulating. Instructors can motivate learners by helping them achieve higher levels of proficiency and encouraging other levels of course completion, such as instructor and instructor trainer. (7) Learning is affected by the physical and social environment. The physical environment should be conducive to both the kind of learning taking place and the activities used for learning. Advanced emergency care instructor qualification course organized educational psychology, educational methodology I,II,III, educational material making skill, lecture & conversational skill, BLS theory & pratice lecture skill, minic lecture designed PBL module. test of minic lecture & pratice lecture skill. Advanced emergency care instructor qualification course continued to active instructor training and motivated to active EMS system.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.12
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• pp.5097-5106
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• 2010

Two perspectives on developing better decision capabilities for a warranty system can be identified: one involving the inclusion of a 'learning' module and the other the inclusion of a 'prioritization' capability. This paper demonstrates how a warning process can be included in a warranty system by coupling with a neural network's learning capabilities. In addition to the neural network, a method is employed for assigning priorities to warning criteria by using the analytic hierarchy process (AHP). Thus, it is possible to construct an integrated system with three components: the warranty system, the AHP module, and the neural network system. A case study is provided to enhance the accuracy of warning/detection judgment in a warranty system for automobile companies, having many factors related to the warranty system.

• Journal of Institute of Control, Robotics and Systems
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• v.16 no.12
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• pp.1220-1225
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• 2010

This paper proposes a novel active noise control (ANC) approach that uses an IIR filter and neural network techniques to effectively reduce interior noise. We construct a multiple-channel IIR filter module which is a linearly augmented framework with a generic IIR model to generate a primary control signal. A three-layer perceptron neural network is employed for establishing a secondary-path model to represent air channels among noise fields. Since the IIR module and neural network are connected in series, the output of an IIR filter is transferred forward to the neural model to generate a final ANC signal. A gradient descent optimization based learning algorithm is analytically derived for the optimal selection of the ANC parameter vectors. Moreover, re-estimation of partial parameter vectors in the ANC system is proposed for online learning. Lastly, we present the results of a numerical study to test our ANC methodology with realistic interior noise measurement obtained from Korean railway trains.

• Nuclear Engineering and Technology
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• v.47 no.5
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• pp.624-632
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• 2015

A self-diagnostic monitoring system is a system that has the ability to measure various physical quantities such as temperature, pressure, or acceleration from sensors scattered over a mechanical system such as a power plant, in order to monitor its various states, and to make a decision about its health status. We have developed a self-diagnostic monitoring system for an air-operated valve system to be used in a nuclear power plant. In this study, we have tried to improve the self-diagnostic monitoring system to increase its reliability. We have implemented three different machine learning algorithms, i.e., logistic regression, an artificial neural network, and a support vector machine. After each algorithm performs the decision process independently, the decision-making module collects these individual decisions and makes a final decision using a majority vote scheme. With this, we performed some simulations and presented some of its results. The contribution of this study is that, by employing more robust and stable algorithms, each of the algorithms performs the recognition task more accurately. Moreover, by integrating these results and employing the majority vote scheme, we can make a definite decision, which makes the self-diagnostic monitoring system more reliable.

• Journal of Cadastre & Land InformatiX
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• v.45 no.1
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• pp.45-58
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• 2015

The Korean government strives to transform the society from one that stresses academic and qualification to one that stresses individual competencies. National Competency Standards(NCS) has been adopted to this end. However, NCS classifies cadastre into a group with survey and spatial information collection. Such classification limits cadastre to encompass cadastral administration, cadastral survey, geospatial survey, etc. This study reviews current status and implications of NCS, and proposes few solutions: improvement of classification system, introduction of cadastral industry cooperation model, curriculum development based on competency level, unification between NCS developer and learning module writing group, etc.