• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.3
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• pp.2100-2108
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• 2015

This study was conducted to examine the effects of a simulation-based learning scenario using standardized respiratory patients regarding emergency care on learning satisfaction, and self efficacy, clinical skill competency of health related department students. A quasi-experimental non-equivalent control group pre-post test design was used. A total of 50 students, 25 students for the experimental group and 25 students for the control group, The experimental group received the 2 educations sessions and 1 evaluation session with 180 minutes for each session. It was implemented in November, 2013. Data were analysed using frequency, ratio and t-test by the SPSS/Win 18.0. The experimental group who had the simulation-based learning scenario using standardized respiratory patients showed significantly higher learning satisfaction and self efficacy, clinical skill competency compared with the control group who had a traditional simulation education. Through this study, simulation-based learning scenario using standardized patients was verified to be an effective teaching method to be grow up on professional competency of health related department students. Also the simulation-based learning scenario using standardized patients should be developed in the various fields.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.384-387
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• 2022

This study was conducted to design and apply simulation-based problem-based learning classes, and then analyze the effects of class management using focus group interviews. In paramedicine, practical learning that can respond to various emergency situations based on major knowledge is important. In the case of problem-based learning classes, it is suitable for operating various topics covered by the Department of Paramedicine as it can improve capabilities such as problem-solving strategies, skills, and teamwork by providing practicality related to field situations for learning. This study developed a PBL module focusing on patients with dyspnea and applied it to medical emergencies and practice courses taken by 16 third graders of S University's Paramedicine department. Overall class satisfaction was high from 4.76 to 4.92. In particular, by resetting the learning strategy through PBL classes and experiencing cooperative learning, positive learning outcomes could be obtained and self-efficacy was experienced.

• Journal of Korean Academy of Nursing
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• v.43 no.2
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• pp.185-193
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• 2013

Purpose: Simulation-based learning has become a powerful method to improve the quality of care and help students meet the challenges of increasingly complex clinical practice settings. The purpose of this study was to identify the learning effects using high-fidelity SimMan and multi-mode simulation. Methods: Participants in this study were 38 students who were enrolled in an intensive course for a major in nursing at R college. Collected data were analyzed using Chi-square, t-test, and independent t-test with the SPSS 18.0 for Windows Program. Results: There were no statistically significant differences in learning effects between high-fidelity SimMan and multi-mode simulation group. However, skills in clinical performance in the high-fidelity SimMan group were higher than in the multi-mode group (p=.014), communication in clinical performance in multi-mode simulation group was higher than in the high-fidelity SimMan group (p<.001). Conclusion: Multi-mode simulation with a standardized patient is an effective learning method in many ways compared to a high-fidelity simulator. These results suggest that multi-mode simulation be offered to students in nursing colleges which cannot afford to purchase a high-fidelity simulator, or offered as an alternative.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.4
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• pp.2647-2655
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• 2015

This study has the purpose to evaluate the effects of cooperative learning applying Jigsaw model in simulation based infection control education by comparing perception of infection control, intrinsic motive and learning satisfaction, 54 first-year health related students. It is composed of 27 students of the experimental group and 27 students of the control group. In order to evaluate the homogeneity between the two groups, it surveyed in advance perception of infection control, intrinsic motive and learning satisfaction. There was no significant difference between the two groups, The education program composed cooperative learning applying Jigsaw Model, simulation practice and debriefing to the experimental group was performed twice for 2 weeks and lecture and skill training, simulation practice and debriefing were performed to the control group. After two-week education, perception of infection control, intrinsic motive and learning satisfaction of the participants the research were surveyed. As a result of this study, the Jigsow Model indicated the perception of infection control and learning satisfaction experimental group was significantly high in statistic. Based on this research result, I suggests that utilization of cooperative learning applying the Jigsaw Model as a strategy to improve the scholatic achievement and learning satisfaction of students in the variable simulation based education.

• The Journal of Korean Association of Computer Education
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• v.3 no.2
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• pp.39-46
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• 2000

This courseware includes multimedia elements such as graphic, voice and provides simulation learning and animation learning environment. Therefore, a learner can have various learning opportunities, be encouraged learning motivation, and be improved learning outcome. The content of the implemented program in this thesis provides voice and text basically. In addition to simulation learning and animation learning are provided appropriately by the type of content. Specially by using simulation implemented from simple subjects to more complicate subjects, a learner can select the most appropriate learning course and learn the simulation step by step. Through this courseware, a learner can learn more easily and excitedly.

• Transactions of Materials Processing
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• v.30 no.4
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• pp.186-194
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• 2021

Finite element simulation is a widely applied method for practical purpose in various metal forming process. However, in the simulation of elasto-plastic behavior of porous material or in crystal plasticity coupled multi-scale simulation, it requires much calculation time, which is a limitation in its application in practical situations. A machine learning model that directly outputs the constitutive equation without iterative calculations would greatly reduce the calculation time of the simulation. In this study, we examined the possibility of artificial intelligence based constitutive equation with the input of existing state variables and current velocity filed. To introduce the methodology, we described the process of obtaining the training data, machine learning process and the coupling of machine learning model with commercial software DEFROM^TM, as a preliminary study, via rigid plastic finite element simulation.

• International journal of advanced smart convergence
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• v.10 no.1
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• pp.56-61
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• 2021

Neighbor path selection is to pre-select alternate routes in case geographically correlated failures occur simultaneously on the communication network. Conventional heuristic-based algorithms no longer improve solutions because they cannot sufficiently utilize historical failure information. We present a novel solution model for neighbor path selection by using machine learning technique. Our proposed machine learning neighbor path selection (ML-NPS) model is composed of five modules- random graph generation, data set creation, machine learning modeling, neighbor path prediction, and path information acquisition. It is implemented by Python with Keras on Tensorflow and executed on the tiny computer, Raspberry PI 4B. Performance evaluations via numerical simulation show that the neighbor path communication success probability of our model is better than that of the conventional heuristic by 26% on the average.

• Journal of the Korea Society of Computer and Information
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• v.25 no.7
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• pp.39-46
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• 2020

Recently, for designing virtual characters in the battle game field effectively, some methods are very needed to predicate the win rates of the battle of them efficiently. In this paper, we propose a method to solve this problem by combining simulation and machine learning. Firstly, a simulation is used to analyze the win rates of the battle of virtual characters in the battle game. In addition, we apply a regression model based machine learning scheme to predict win rates of the battle of virtual characters according to their abilities. Our experimental results using suggested method show that it is almost no difference between the win rates of the simulation and the prediction results using the machine learning scheme. And also, we can obtain good performance in the experiment using only simple regression based machine learning model.

• Journal of Industrial Convergence
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• v.20 no.10
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• pp.225-232
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• 2022

This study purpose was to identify the effect of simulation education based on Blended Learning on Nursing students' Knowledge, performance, Learning satisfaction to ACLS. Methods was nonequivalent control group pretest-posttest design. The participants were 88 students 4 grade from the Department of Nursing at C University. The study period was from September 1 to December 31, 2021, and Data were analyzed with X² test, independent t-test using SPSS 22.0 program. The research results show that the experimental group showed significantly higher performance(t=-9.843, p=.001) and learning satisfaction(t=-3.484, p<.001) for ACLS compared with the control group. In conclusion, it was suggested that ACLS simulation education based on Blended Learning is an effective teaching method to improve nursing students' performance and learning satisfaction.

• Korean System Dynamics Review
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• v.9 no.1
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• pp.57-71
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• 2008

This research paper describes a complex and vague settings in which organization makes a decision and explains a role of decision maker's learning process. The original paper, written by Cohen, March, Olsen in 1972, said that all members of organization depended on the technology taken through trials and errors, which is the 'learning' process literally. But they intended to exclude the learning process in their simulation model because their PORTRAN model couldn't replicate the learning concept. As a result, they couldn't explain how all agents of garbage can simulation model resolve the problem dynamically. To overcome this original paper's limitations, we try to rebuild a learning process simulation model using by system dynamics approach that can capture the linkage between organization leanings and agents-based decision-makings. Our learning simulation results reveal two points. First, decision maker's leanings process improves the efficiency of decision making in complex situation. Second, group learning shows a superior efficiency to an individual learning because group members share organizational memory and energy.