• Journal of the Korea Society of Computer and Information
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• v.25 no.12
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• pp.349-357
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• 2020

In this paper, I propose a presentation examples of the development of teaching materials using Arduino. For this purpose, a six-step low-cost microcontroller teaching-learning development model was used, the steps being topic selection, exploration of implementation methods, experimentation, production of teaching and learning materials, implementing lesson plans, and improvement. After analyzing the composition of the source code and circuits introduced in the existing Arduino book, this content was reconstructed to fit the programming education context. A simple method of constructing a circuit using materials such as Arduino and a piezo buzzer is proposed to save time on circuit composition. Using this circuit, examples of use in teaching-learning activities for various programming content elements are presented. The core concept of this study is that it provides a direct experience of the content of C language programming exercises that can only be found on existing screens.

• Journal of the Korea Society of Computer and Information
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• v.16 no.12
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• pp.197-204
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• 2011

In this paper, There is a study of a smartphone-based App for e-learning when the process control of manufacturing. First, That is obtained the control limit lines after inputted by the measured data and able to look up the assignable causes and then can display those causes. A User of this App can access the record about assignable causes using the record menu and can use with an e-Learning tool. Because that were provided in the form of a control process theory and bulletin announcements. Helped to exchange information. In addition, the user's guide how to use this App. The result of this process control is provided by charts. The alarm message to the alertsymbol, depending on the level of color clearly was designed to UI which displays the results. After the questionnaire responses with respect to satisfaction of Utilization and satisfaction of the learning experience. The Utilization' satisfaction results Appeared that 82% of the participants were satisfied. And The learning's satisfaction results Appeared that 90% of the participants were satisfied.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39B no.8
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• pp.518-527
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• 2014

This study is to estimate the learning curve based on the consequences of reduced voice of customer from each telecommunication service products. We used Exponential Decay Model, which is the most popular among the learning curve models. We attempted to add how VOC changes in accordance with seasonal factors, human resource input, application of software, and the investment. The results of the empirical analysis of each service product as follows: First, as learning curve, customer complaints decreased. Second, human resource input, Network fault make increase or decrease customer complaints(VOC). Third, even though increasing the customer's quality of experience, VOC would not decrease due to service paradox.

• Journal of Korean Society of Disaster and Security
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• v.11 no.2
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• pp.75-82
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• 2018

The purpose of this study is designed to apply the model of the problem-based learning in the class of Disaster Psychology and then analyze the experiences that its students felt. The participants in this research are 56 undergraduates. The class of Disaster Psychology was conducted with blended learning using lecture and PBL. The PBL problem should be solved just for 3 weeks. The data collected after the class is an analysis of the PBL problem, log on group activities, personal reflection diary, Group evaluation. Then, each data should be collected and analyzed quantitatively through the repetitive comparison, and the triangle-measurement. The findings suggest that there is a remarkable educational learning experience in seven categories: acquire expertise, confidence, practical problem-solving skill, communication ability, roles of calling, efficacy, change in perspective. This study introduces a case of PBL course development and expects subsequent applications and research.

• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.400-409
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• 2021

Training, unlike education in holistic perspective, not only affects individual's potential of work competencies such as knowledge and technology, but also affects the job performance in organizational perspective. The effectiveness of training for civil servants who participated in mock jury trial learning of Suwon-si was verified using CIPP model. Participants valued the significance of the process of training rather than the conclusion that draws a certain solution, and based on the comparison and analysis of pre·post evaluations, the educational effect of mock trial training and its utilization at work in the future was higher than before the training, proving its effectiveness. In terms of the implications of training programs in addition to the program planner's evaluation, participant constitution in consideration of sex or employment period is needed for learning interaction among various learners, and information acquisition training on various local issues and conflict situations, as well as the combination of deliberation learning, are needed. in addition, it may be supplemented through customized conflict management raining related to pending projects for the effectiveness of training.

• Journal of Information Technology Services
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• v.22 no.6
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• pp.17-35
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• 2023

This study investigated how helpful the use of generative AI such as ChatGPT is in conducting engaged learning at each university. In this study, based on the experiences of users using generative AI technology, we analyzed the relationship between usability and ease in consideration of the characteristics of learners, and examined whether there is an intention to continue using generative AI technology in the future. In this study, in order to verify the factors affecting the intention to use ChatGPT technology in order to solve the problems given in the participating classes, we examined previous papers based on the Technology Acceptance Model (TAM) and the Information System Success Model (IS), extracted the factors affecting the intention of ChatGPT technology, and presented the research model and hypothesis. Empirical research on the continuous use of generative AI in participatory learning using ChatGPT was conducted to determine whether it is suitable for long-term and continuous use in the educational environment, and whether it is sustainable by examining the intention of learners to continue using it. First, user satisfaction was positively related to the intention to continue using generative AI technology. Second, if the user experience has a great influence on the intention to continue using ChatGPT technology, and users gain experiences such as usefulness, interest, and effective response in the process of using the technology, the evaluation of the technology is positively formed and the intention to continue using it is high. Third, the ease of use of the technology also showed that it was intended to be used continuously when an environment was provided in which users could easily and conveniently utilize generative AI technology.

• Journal of Gastric Cancer
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• v.10 no.4
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• pp.247-253
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• 2010

Purpose: Most stomach surgeons have been educated sufficiently in conventional open distal gastrectomy (ODG) but insufficiently in laparoscopy-assisted distal gastrectomy (LADG). We compared learning curves and clinical outcomes between ODG and LADG by a single surgeon who had sufficient education of ODG and insufficient education of LADG. Materials and Methods: ODG (90 patients, January through September, 2004) and LADG groups (90 patients, June 2006 to June 2007) were compared. The learning curve was assessed with the mean number of retrieved lymph nodes, operation time, and postoperative morbidity/mortality. Results: Mean operation time was 168.3 minutes for ODG and 183.6 minutes for LADG. The mean number of retrieved lymph nodes was 37.9. Up to about the 20th to 25th cases, the slope decrease in the learning curve for LADG was more apparent than for ODG, although they both reached plateaus after the 50th cases. The mean number of retrieved lymph nodes reached the overall mean after the 30th and 40th cases for ODG and LADG, respectively. For ODG, complications were evenly distributed throughout the subgroups, whereas for LADG, complications occurred in 10 (33.3%) of the first 30 cases. Conclusions: Compared with conventional ODG, LADG is feasible, in particular for a surgeon who has had much experience with conventional ODG, although LADG required more operative time, slightly more time to get adequately retrieved lymph nodes and more complications. However, there were more minor problems in the first 30 LADG than ODG cases. The unfavorable results for LADG can be overcome easily through an adequate training program for LADG.

• Journal of Information Processing Systems
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• v.20 no.3
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• pp.375-390
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• 2024

Edge computing architecture has effectively alleviated the computing pressure on cloud platforms, reduced network bandwidth consumption, and improved the quality of service for user experience; however, it has also introduced new security issues. Existing anomaly detection methods in big data scenarios with cloud-edge computing collaboration face several challenges, such as sample imbalance, difficulty in dealing with complex network traffic attacks, and difficulty in effectively training large-scale data or overly complex deep-learning network models. A lightweight deep-learning model was proposed to address these challenges. First, normalization on the user side was used to preprocess the traffic data. On the edge side, a trained Wasserstein generative adversarial network (WGAN) was used to supplement the data samples, which effectively alleviates the imbalance issue of a few types of samples while occupying a small amount of edge-computing resources. Finally, a trained lightweight deep learning network model is deployed on the edge side, and the preprocessed and expanded local data are used to fine-tune the trained model. This ensures that the data of each edge node are more consistent with the local characteristics, effectively improving the system's detection ability. In the designed lightweight deep learning network model, two sets of convolutional pooling layers of convolutional neural networks (CNN) were used to extract spatial features. The bidirectional long short-term memory network (BiLSTM) was used to collect time sequence features, and the weight of traffic features was adjusted through the attention mechanism, improving the model's ability to identify abnormal traffic features. The proposed model was experimentally demonstrated using the NSL-KDD, UNSW-NB15, and CIC-ISD2018 datasets. The accuracies of the proposed model on the three datasets were as high as 0.974, 0.925, and 0.953, respectively, showing superior accuracy to other comparative models. The proposed lightweight deep learning network model has good application prospects for anomaly traffic detection in cloud-edge collaborative computing architectures.

• Journal of The Korean Association For Science Education
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• v.17 no.3
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• pp.289-299
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• 1997

This study has been undertaken in the light of constructivist view of teacher education. Participant observation, unstructured interview and questionnaire were used to explore the process and the role of practicum in science teacher education. The subjects were 19 student teachers majoring in physics education; 8 had participated at boys junior high school, 11 at senior high school. The student teachers had very critical and negative perception on their school days' science lessons. They had expected to do 'better' in their practicum but there were only 3 to 5 opportunities of teaching under the umbrella of textbook. Explanation in the classroom and solving exercise problem were the main features of student teachers' lessons. Much of the lessons were similar when it is to same topic and the main reference for their lesson preparation was the textbook. The student teachers felt the design of teaching approach as the most difficult thing during their lesson preparation. They realized that teaching is harder than they thought and they should consider students' level and responses. Though they had become to have more positive perception on teaching job through their field experiences, their decision on job preference did not change. More than half did not want to be a teacher. The student teachers recognised the courses related with science education as the most useful to their teaching in practice among the program of college of education which they had taken. The experience of writing one lesson plan or teaching in front of their peers, designing a new demonstration equipment were recognised as valuable and helpful element of the courses. They proposed to reduce the amount of general education courses and to emphasize the courses relevant with science education and practicum. The limited opportunity of teaching in practicum was pointed out as problematic. Though the practicum was recognized as a 'good' experience to student teachers, it was confined by textbook and limited teaching opportunity. In conclusion, the practicum was not organized and implemented as a meaningful experience of science teaching and learning. There should be more structured studies on what kind of perceptions and experiences the student teachers had brought to the science teacher education program, how they interact with the elements of the program and how they affect to their science teaching. The structure and content of practicum also should be studied and developed so as to make practicum as a meaningful experience of science teaching and learning.

• Journal of Korean Home Economics Education Association
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• v.28 no.3
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• pp.33-45
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• 2016

The purposes of this study were to develop PBL programs for class, and to examine the effects of PBL. The 2 PBL experiencing the roles of "fashion editor" and "fashion stylist" were conducted in "Fashion & Social Culture" and "Fashion Design" parts. The objects were 29 students in Home Economics Education Department. The effects of PBL were observed through contents analysis to reflective journals. Also, self assessment and learning satisfaction were analyzed. The effectiveness of PBL presented in reflective journals were 'understanding of cooperative learning', 'related knowledge adaption', 'real experience', 'self-examination & changed self', 'problem solving ability'. Also students' self-assessment and learning satisfaction were very high in two PBL programs. However, they had difficulties in co-working and lack of time.