• Journal of the Korea Society of Computer and Information
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• v.29 no.2
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• pp.61-66
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• 2024

This paper aims to design a simulation for path-finding of objects in a simulation or game environment using reinforcement learning techniques. The main feature of this study is that the objects in the simulation are trained to avoid obstacles at random locations generated on a given track and to automatically explore path to get items. To implement the simulation, ML Agents provided by Unity Game Engine were used, and a learning policy based on PPO (Proximal Policy Optimization) was established to form a reinforcement learning environment. Through the reinforcement learning-based simulation designed in this study, we were able to confirm that the object moves on the track by avoiding obstacles and exploring path to acquire items as it learns, by analyzing the simulation results and learning result graph.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.7
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• pp.263-270
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• 2021

Reinforcement learning(RL) is the method to find an optimal policy through training. and it is one of popular methods for solving lifesaving and disaster response problems effectively. However, the conventional reinforcement learning method for disaster response utilizes either simple environment such as. grid and graph or a self-developed environment that are hard to verify the practical effectiveness. In this paper, we propose the design of a disaster response RL environment which utilizes the detailed property information of the disaster simulation in order to utilize the reinforcement learning method in the real world. For the RL environment, we design and build the reinforcement learning communication as well as the interface between the RL agent and the disaster simulation. Also, we apply the dimension reduction method for converting non-image feature vectors into image format which is effectively utilized with convolution layer to utilize the high-dimensional and detailed property of the disaster simulation. To verify the effectiveness of our proposed method, we conducted empirical evaluations and it shows that our proposed method outperformed conventional methods in the building fire damage.

• Journal of the Korean Applied Science and Technology
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• v.39 no.2
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• pp.182-192
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• 2022

The purpose of this study was to investigate the effects of flow experience and learning competency on learning satisfaction after virtual simulation-based nursing practice education for the elderly. The subjects of this study were 72 nursing students and data were collected through online surveys from April 2 to May 7, 2021. Data were analyzed using the SPSS/WIN 24.0 program by descriptive statistics, Pearson's correlation, multiple regression analysis. As a result of the study, the learning satisfaction of nursing students after virtual simulation education showed a significant positive correlation with flow experience (r=.656, p<.001) and learning competency (r=.672, p<.001). The most influential factors on learning satisfaction were learning competency (𝛽=.459, p<.001) and flow experience (𝛽=.413, p<.001), and the explanatory power of the model was 60.9%. Therefore, in order to improve learning satisfaction after virtual simulation education, it is suggested to develop ways to promote flow experience in practice and improve individual learning capabilities.

• The Journal of the Korea Contents Association
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• v.16 no.7
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• pp.640-650
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• 2016

This study was conducted in order to develop an education program based on simulation with problem-based learning, to apply it to nursing students, and to examine its effects on the students' learning motivation, learning strategy, and academic achievement. The subjects of this study were 69 seniors majoring in nursing. Education based on simulation with problem-based learning was applied to the students from September to October in 2015, and then a questionnaire survey was conducted on their learning motivation, learning strategy, and academic achievement. According to the results of this study, the education based on simulation with problem-based learning reduced the nursing students' other-directed motivation (external motivation), increased their self-regulation motivation (identified motivation, intrinsic motivation), and improved their use of resource management strategies. In addition, academic achievement (academic performance, and educational satisfaction) was in a positive correlation with identified motivation and learning strategies (cognitive strategy, meta cognitive strategy, and resource management strategy). In conclusion, education based on simulation with problem-based learning was found to be an effective education strategy for enhancing nursing students' autonomous motivation and improving their use of resource management strategies. Thus, it is necessary to promote the application of simulation with problem-based learning in various care situations and to study factors and parameters influencing learning related variables.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.6
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• pp.3963-3972
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• 2015

This study was conducted to evaluate the effects of simulation integrated with problem based learning in terms of critical thinking, problem solving, learning motivation according to Myers-Briggs type indicator(MBTI) personality type in advanced nursing course students. This study was a non-equivalent control posttest only design. Students were all enrolled in advanced nursing course which included 1) 6 weeks problem based learning 2) 5 weeks simulation integrated with PBL and debriefing. Total 19 students' data were collected and analyzed on SPSS win 21.0. The results showed students who have out patients working experience were significantly higher learning motivation(${\chi}^2=9.85$, p=.044), no experienced simulation were significantly higher critical thinking(${\chi}^2=4.44$, p=.035) and as temperament of MBTI, NT types were significantly higher on critical thinking(${\chi}^2=8.53$, p=.036). Students show various personality types and it might be impact on attitudes of learning and the results. Thus we need to understand their diversity and consider it to apply teaching methods on nursing education.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.3
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• pp.1274-1282
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• 2013

With the reinforcement in patient's rights and safety, simulation-based learning is getting popular in nursing education. Therefore, The purpose of this study was to identify the outcomes and satisfaction of simulation-based learning in nursing on patient with UGI bleeding. Participants of this study were 77 second year nursing students who never experienced simulation-based learning. The collected data was analyzed by using SPSS Statistics 18.0. Frequencies, % for general characteristics and satisfaction in simulation, and paired t-test for learning outcomes in simulation were used. Confidence on clinical performance, satisfaction in simulation significantly increased by simulation-based learning. The applying the simulation-based learning is a practical alternative to patient safety and nursing students were satisfied. Well trained and educated instructors are the first line rather than facilities for the quality of learning.

• Journal of Digital Convergence
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• v.16 no.8
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• pp.221-231
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• 2018

The purpose of this study was to identify the effect of simulation integrated with problem based learning(SIM-PBL) on nursing students. A non-equivalent pre-post test of quasi-experimental design was used. 37 were assigned to an intervention group and 41 to a control group. SIM-PBL was applied to intervention group and simulation was applied to control group. Data were analyzed using the SPSS 20.0 program. There were significant increases in system thinking(t=2.14, p=.036), proactivity in problem solving(t=2.07, p=.042), and performance ability for medication(t=5.26, p=<.001) in the intervention group compared to the control group. However, there was no difference in learning flow between the intervention and control groups. In order to adapt to the clinical setting, it is necessary to consider the SIM-PBL needs to be considered in the curriculum of nursing students.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07a
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• pp.85-87
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• 2005

본 논문에서는 폰노이만 컴퓨터의 동작 원리를 귑게 이해하도록 도와주는 애니메이션 학습 도구의 개발을 소개한다. 개발된 프로그램은 일정 제약조건을 만족하는 임의의 명령어 집합 구조를 가상으로 시뮬레이션 하고 각 명령어의 실행과정을 플래시 애니메이션을 사용하여 학습자에게 보여준다. 시뮬레이션 대상의 ISA 설정과 메모리의 내용을 변경함으로써 임의의 프로세서구조에 대한 명령어의 실행을 시뮬레이션할 수 있다. 본 학습 도구는, 애니메이션을 이용함으로써 초보자라도 학습 내용을 쉽게 이해하게 할 수 있게 하였고 사용자와 쌍방향 의사소통이 가능한 능동적 학습을 가능하게 하고 여러 수준의 학습자를 수용할 수 있는 장점이 있다.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10a
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• pp.113-118
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• 2006

고등학교 수학과 교육과정에서의 ‘확률과 통계'단원은 실제로 자료의 수집과 요약을 통하여 자료 분석방법을 배우고 사회와 자연현상을 인식하고 추론하는 능력을 기르는데 목표를 두고 있다. 추상적인 수학내용을 직접 시도하거나 학생들이 실제적인 자료를 수집하고 직접 자료를 해석하고 추론해 보는 경험과정은 수학실험과 시뮬레이션이라는 컴퓨터 학습을 통해 가능하고 개념학습의 전 단계에서 보다 구성적이고 탐구적인 활동을 강화할 수 있다. 본 논문에서는 ‘확률과 통계'의 교수-학습과정에서 수학적 시뮬레이션을 활용한 웹 기반 학습모형을 제시하여 학습자들에게 수학적 내용과 관련된 구체적 매체를 조작하는 컴퓨터 실험 활동을 통하여 수학에서의 원리발견과 통계적 추론을 경험하고 유도할 수 있는 탐구적 학습 환경을 조성해 보고자 한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.01a
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• pp.345-348
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• 2022

본 논문에서는 유체 시뮬레이션(Fluid simulation)중 화염에서 표현되는 불똥 입자(Fire-flake particle)의 생성, 움직임과 삭제를 효율적으로 학습하고 표현할 수 있는 인공지능 기법에 대해 소개한다. 유체 시뮬레이션을 계산하기 위해서는 일반적으로 수치해석학과 같은 학문의 이해가 필요하며 불똥이나 거품과 같은 유체의 2차 효과(Secondary effect)는 기반유체(Underlying fluids)를 통해 추출되기 때문에 복잡하고 계산양이 많아진다. 이러한 문제를 완화하고자 본 논문에서는 인공신경망을 이용한 분류 모델 학습을 통해 격자 내에서 표현되어야 하는 불똥 입자의 생성을 학습하고, 다항 회귀 모델 학습을 통해 불똥 입자의 움직임을 예측한다. 또한, 불똥 입자가 삭제되어야하는 상태를 네트워크 학습을 통해 얻어내며, 수명(Lifespan) 임계값 조절하여 다양한 장면에서 불똥을 제어할 수 있다. 결과적으로 화염의 움직임을 기반으로 불똥의 움직임을 복잡한 수학식이나 디자이너에게 의존하지 않고 인공지능 학습을 통해 쉽게 제어하고 예측하는 결과를 보여준다.