• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.10
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• pp.6832-6838
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• 2015

The purpose of this study was to identify the effect of simulation-based program on self-directed learning ability, metacognition and clinical competence for nursing students. The subjects were 88 students enrolling in the simulation-based practice. Simulation-based program included team based pre-discussion, taking a simulation and being debriefed during 12 weeks. After the subjects had participated in the simulation-based program, they showed statistically significant higher self-directed learning ability(t=4.270, p<.001), metacognition(t=4.435, p<.001) than before. However, there was no significant change in clinical competence. Therefore, facility of self-directed learning ability, metacognition and clinical competence for nursing students needs to develop and operate more systematic simulation-based program.

• Korean Parent-Child Health Journal
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• v.15 no.2
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• pp.71-79
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• 2012

Purpose: This study was conducted to examine the effects of simulation-based practice using standardized patients for the care of woman with postpartum hemorrhage as related to clinical performance competence and critical thinking deposition of nursing students. Methods: A nonequivalent control group pre-post test experimental design was used. Fifty four third year students were recruited, 29 students for the experimental group and 25 students for the control group. The simulation-based practice about nursing care related to postpartum hemorrhage included skill training, team-based practice, and debriefing. It was implemented with the experimental group for about 30 minutes in October 6, 2011. Data were analyzed using frequency, ratio, chi-square, Fisher's exact probability, and t-test using the SPSS/WIN program. Results: The experimental group who had the simulation-based practice showed significantly higher knowledge and skills of clinical performance competence than the control group (t=2.19, p=.003). But the experimental group who had the simulation-based practice did not show significantly higher critical thinking deposition than the control group (t=-0.32, p=.748). Conclusion: The results indicate that a simulation-based practice is an effective teaching method to improve knowledge and skills for clinical performance competence of nursing students. Further study is needed to identify the effect of a simulation-based practice on nursing attitudes.

• The Journal of Korean Academic Society of Nursing Education
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• v.19 no.1
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• pp.5-15
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• 2013

Purpose: The purpose of this study was to explore nursing students experiences in team based simulation learning. This study was based on a phenomenological research methodology. Methods: Fourteen nursing students participated in this study. The students gave in depth interviews and wrote reflective journals after participating in a team based simulation learning program, which was provided at C University in Gwangju for 8 weeks, 2011. These data were analyzed using Van Kaam's method. Results: 21 sub-themes and 9 themes were elicited from 55 significant statements. They were classified into 3 categories such as : 'First exposed to lessons on how Burden', 'the enjoyment of team based simulation learning', 'expansion of the clinical competence'. Conclusion: Teaching and learning strategy that combines a variety of simulation training to nursing students to develop critical skills to improve their care to give and take advantage of simulation training supplement is advised.

• Journal of the Korea Society for Simulation
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• v.8 no.2
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• pp.13-28
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• 1999

The main purpose of this paper is to design and implement forest fire information system (FOFIS) for effective prevention of forest fire using GIS, database, 3-D graphics, and simulation techniques. In contrast to conventional fire information systems that are mostly based on the 2-D graphics and analytic modeling approaches, we have proposed the cell-based modeling approaches, i.e., spatial, data, and simulation modeling approaches. The cell-based spatial modeling is proposed by eliminating the cliff effect of the typical elevation model so that it can provide realistic 3-D graphics of the forest fire. The cell-based data modeling of geography, meteorology, and forestry information is also proposed. The cell-based dynamic modeling for forecasting of the fire diffusion is developed using the variable structure modeling techniques. Several simulation tests of FOFIS performed on a sample forest area of Chungdo, Kyungsangbukdo will demonstrate our approaches.

• Proceedings of the KAIS Fall Conference
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• 2003.11a
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• pp.155-162
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• 2003

Today's network consists of a large number of routers and servers running a variety of applications. Policy-based network provides a means by which the management process can be simplified and largely automated. In this paper we build a foundation of policy-based network modeling and simulation environment. The procedure and structure for the induction of policy rules from vulnerabilities stored in SVDB (Simulation based Vulnerability Data Base) are developed. The structure also transforms the policy rules into PCIM (Policy Core Information Model). The effect on a particular policy can be tested and analyzed through the simulation with the PCIMs and SVDB.

• The Korean Journal of Emergency Medical Services
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• v.28 no.2
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• pp.131-142
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• 2024

Purpose: This study aimed to explore the use of web-based virtual simulations to improve the learning flow, problem-solving ability, and academic self-efficacy of paramedicine students. Methods: This study used a pre-post comparison design with 40 pamedicine students at one university. the participants were third grade students and participated in web based virtual simulation(vSim®). The difference between the pre-post was analyzed using a Paired Sample t-test with SPSS 26.0. Results: After web based virtual simulation using vSim® program than before, significantly higher learning flow(t=12.74, p<.001), problem-solving process(t=5.78, p<.001), academic self-efficacy(t=2.77, p<.001), Paramedic-Care Skills Confidence(t=6.30, p<.001). Conclusion: The results indicated the positive effects of web-based virtual simulation(vSim®) learning method and suggests implications for learners and instructors.

• Journal of the Korea Society for Simulation
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• v.8 no.4
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• pp.33-51
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• 1999

In this study, the system level network simulation is considered with adaptive array antenna in CDMA mobile communication system. A network simulation framework is implemented based on IS-95A/B system to consider dynamic handoff, system level network behavior, and deploying strategy into the overall CDMA mobile communication network under adaptive array algorithm. Its simulation model, such as vector channel model, adaptive beam forming antenna model, handoff model, and power control model, are described in detail with simulation block. In order to maximize SINR of received signal at antenna, Maximin algorithm is particularly considered, and it is computed at each simulation snap shot with SINR based power control and handoff algorithm. Graphic user interface in this system level network simulator is also implemented to define the simulation environments and to represent simulation results on real mapping system. This paper also shows some features of simulation framework and simulation results.

• Journal of Korean Academy of Nursing Administration
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• v.20 no.2
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• pp.227-236
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• 2014

Purpose: This study was designed to develop and evaluate the a web-based simulation program on patient rights education using integrated decision making model into values clarification for nurse students. Methods: The program was designed based on the Aless & Trollip model and Ford, Trygstad-Durland & Nelms's decision model. Focus groups interviews, surveys on learning needs for patient rights, and specialist interviews were used to develop for simulation scenarios and decision making modules. The simulation program was evaluated between May, 2011 and April, 2012 by 30 student nurses using an application of the web-based program evaluation tools by Chung. Results: Simulation content was composed of two scenarios on patient rights: the rights of patients with HIV and the rights of psychiatric patients. It was composed of two decision making modules which were established for value clarifications, behavioral objective formations, problems identifications, option generations, alternatives analysis, and decision evaluations. The simulation program was composed of screens for teacher and learner. The program was positively evaluated with a mean score of $3.14{\pm}0.33$. Conclusion: These study results make an important contribution to the application of educational simulation programs for nurse students' behavior and their decision making ability in protecting the patient rights.

• Journal of Korean Institute of Industrial Engineers
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• v.23 no.1
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• pp.197-213
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• 1997

It is not easy to find a good production schedule which can be used in practice. Therefore, production scheduling simulation with a simple dispatching rule or a set of dispatching rules is used. However, a simple dispatching rule may not create a robust schedule, for the same rule is blindly applied to all internal production processes. The presumption is that there might be a specific combination of appropriate rules that can improve the efficiency of a total production system for a certain type of orders. In order to acquire a better set of dispatching rules, simulation is used to examine the performance of various combinations of dispatching rule sets. There are innumerable combination of rule sets. Hence it takes too much computer simulation time to find a robust set of dispatching rule for a specific production system. Therefore, we propose a concept of the knowledge based simulation to circumvent the problem. The knowledge based simulation consists of knowledge bases, an inference engine and a simulator. The knowledge base is made of rule sets that is extracted from both simulation and human intuition obtained by the simulation studies. For a certain type of orders, the proposed system provides several sets of dispatching rules that are expected to generate better results. Then the scheduler tries to find the best by simulating all proposed set of rules with the simulator. The knowledge-based simulator armed with the acquired knowledge has produced improved solutions in terms of time and scheduling performance.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.393-399
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• 2009

This paper introduces an automated tool named Advanced Stochastic Schedule Simulation System (AS4). The system automatically integrates CPM schedule data exported from Primavera Project Planner (P3) and historical activity duration data obtained from a project data warehouse, computes the best fit probability distribution functions (PDFs) of historical activity durations, assigns the PDFs identified to respective activities, computes the optimum number of simulation runs, simulates the schedule network for the optimum number of simulation runs, and estimates the best fit PDF of project completion times (PCTs). AS4 improves the reliability of simulation-based scheduling by effectively dealing with the uncertainties of the activities' durations, increases the usability of the schedule data obtained from commercial CPM software, and effectively handles the variability of the PCTs by finding the best fit PDF of PCTs. It is designed as an easy-to-use computer tool programmed in MATLAB. AS4 encourages the use of simulation-based scheduling because it is simple to use, it simplifies the tedious and burdensome process involved in finding the PDFs of the many activities' durations and in assigning the PDFs to the many activities of a new network under modeling, and it does away with the normality assumptions used by most simulation-based scheduling systems in modeling PCTs.