• 4차산업연구
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• 제1권1호
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• pp.31-40
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• 2021

Purpose - According to the importance of business simulation learning as a new type of business learning tool, this study reviews the dimensions of business education and a brief history of business education simulation. At the end Capsim strategic management simulation program is introduce with its feature. Research design, data, and methodology - This study has been analyzed in a way that reviews at previous literature on simulation learning and looks at examples and features of Capsim simulation, online business simulation tools which has been used in the global market. Result - Capsim simulations are designed to offer focused opportunities for deep practice. That's why they are often more effective than passive tools such as textbooks, videos, or lectures. By the way, 'deep practice' is very different from 'ordinary practice'. After commuters who drive to school or work can accumulate thousands of hours of driving, but that doesn't make them expert drivers. The key to deep practice is self-awareness. That is, paying attention to what you are doing well and not so well. This is so important to learn that scientists use a specific term for it: 'metacognition', or thinking about the way you think and learn. Conclusion - The use of business simulation learning, such as Capsim, which is a given case, can create similar local systems by potentially engaging a large number of users in the virtual market. It could also be used as an individual to complete business training for students and those who are active in the business field of business.

• 한국콘텐츠학회논문지
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• 제9권8호
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• pp.309-323
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• 2009

경영 시뮬레이션 학습은 경영학 교육에 응용되는 교육용 게임 소프트웨어를 활용하는 교수방법으로 기업경영활동을 유사하게 모의화 하여 가상기업들을 경영하면서 경영학 지식, 경영관리 능력, 그리고 문제 해결 능력을 체험하며 학습하는 경영교육 도구로써 관심이 증대되고 있다. 이에 본 연구는 경영 시뮬레이션 학습에 대한 수업 타당성 분석과 교수모형의 설계를 목적으로 이뤄졌으며 경영 시뮬레이션 학습 교육과정의 대학 도입 및 운영을 위한 사전 단계의 연구로써 경영 시뮬레이션 학습의 동향과 연구현황 조사, 필요성 인식 조사 및 수업 가능성에 관한 문헌조사 그리고 대학 학부생과 기업체 임원에 대한 설문 수요조사 및 분석 연구를 수행함으로써 산업계와 대학교육에서의 경영 시뮬레이션 학습에 대한 필요성과 가능성을 논의하였다. 또한 문헌조사와 수요조사의 분석결과를 활용하여 대학의 경영교육을 위한 경영 시뮬레이션 학습의 교과과정을 설계하고 교수모형으로 제시하였다.

• Asia pacific journal of information systems
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• 제8권1호
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• pp.125-144
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• 1998

This article describes the use of Internet as a means of operating the class which is business simulation game. The aims of investigation are to summarize the characteristics of distance learning using information technology, to find proper operating procedures for the internet class focusing on small group formation, to check the major factors affecting the teaching effectiveness, and to suggest the business simulation game as a proper distance learning class using internet.

• 서비스연구
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• 제7권4호
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• pp.151-164
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• 2017

이 연구는 경영시뮬레이션 도구를 활용한 교육이 학습자 만족도에 미치는 영향과, 품질요인과 만족도 간의 관계에 있어서 학습유형의 조절효과에 대해 실증적으로 분석하는 것을 목적으로 한다. 연구를 위해 경영시뮬레이션 활용 교육에 참여한 학생을 대상으로 설문조사를 실시하였으며, 신뢰분석, 요인분석, 분산분석, 회귀분석등 데이터분석을 실시하였다. 실증분석 결과 경영시뮬레이션도구 활용 교육의 품질요인은 컨텐츠, 교육환경, 학생 간의 상호작용, 교강사의 지원기능 요인으로 나뉘었고, 학습유형은 적극적-소극적, 자기주도적-환경의존적 유형으로 분류되었다. 시뮬레이션 활용 교육의 각 품질요소는 학습자 만족도에 정(+)의 영향을 미쳤으며, 적극적, 환경의존적 학습유형을 가진 그룹이 통계적 유의성 밖에서 만족도 수준이 높았다. 학습유형은 경영시뮬레이션 교육의 품질요소와 만족도 간의 관계에 조절효과를 보였으며, 학습유형에 따라 조절하는 정도가 달랐다. 특히 학습자 간 상호작용은 만족도를 증가시키는 주요 요인이 된 반면, 교강사의 적극적 지원은 오히려 부(-)의 영향을 미치는 것으로 나타나 학습유형에 따른 차별화된 교수전략이 요구되는 것으로 나타났다. 본 연구는 교육 서비스 관점에서 경영시뮬레이션 교육의 품질요소와 만족도 간의 관계에서 학습유형이 미치는 조절효과에 대해서 학술적인 성과를 추가하였고, 경영시뮬레이션 도구 개발자 및 공급자, 이를 활용하는 교수자, 학습자, 교육기관에게도 유용한 시사점을 제공한다.

• Educational Technology International
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• 제25권1호
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• pp.93-127
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• 2024

This study evaluates the effect of structured debriefing for a business simulation game for university students. The program provides an authentic learning experience of real-world business management by allowing learners to make decisions related to R&D, marketing, production, and finance through a business simulation game, and check the results in real time. In 2022, University A and B each ran a business simulation game-based program as an extra-curricular activity. University A conducted a traditional instructor-led debriefing where the instructor explained the summarized process and results, while University B implemented a structured debriefing which had been developed based on Gibbs' and 3D models. To assess the effect of the structured debriefing compared to the traditional instructor-led debriefing, business knowledge and entrepreneurship competencies were measured three times. Repeated measures ANOVA was used to test for the differences between the two groups and to examine interaction effects between group and time. The structured debriefing group achieved statistically significantly higher academic scores than the traditional instructor-led debriefing group at the post-test and in 2 weeks. There was no statistically significant difference between the groups in terms of entrepreneurship competencies. There was no interaction effect between group and time, both in academic achievement and in entrepreneurship competencies. In conclusion, the simulation game-based program integrated with the structured debriefing session is more likely to have a stronger impact on academic achievement and its retention.

• 디지털산업정보학회논문지
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• 제13권3호
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• pp.83-104
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• 2017

It is the approach of development of teaching methods for competency development in business class. This study distinguishes areas that can be commonly applied to many business subjects. And we derive core competencies from the basic skills of NCS. The results of this study are as follows. First, we have established an opportunity to distinguish the subject field of business administration(personnel/organization/strategy, production/operation management, marketing, financial/finance/insurance, accounting, MIS). Second, we have proposed guidelines for the setting of the each subject goals and the setting of the professor's competency. Third, we have summarized teaching method which are studied as valid in business class(lecture method, problem based learning method, action learning teaching method, and management simulation teaching method) and we suggested how to apply teaching methods to the each subject.

• 한국게임학회 논문지
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• 제19권6호
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• pp.61-70
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• 2019

본 논문에서는 경영 시뮬레이션 게임 분야에서 강화학습을 적용하여 게임 에이전트들이 자율적으로 주어진 목표를 달성하는지를 확인하고자 한다. 본 시스템에서는 Unity Machine Learning (ML) Agent 환경에서 PPO (Proximal Policy Optimization) 알고리즘을 적용하여 게임 에이전트가 목표를 달성하기 위해 자동으로 플레이 방법을 찾도록 설계하였다. 그 유용성을 확인하기 위하여 5가지의 게임 시나리오 시뮬레이션 실험을 수행하였다. 그 결과 게임 에이전트가 다양한 게임 내 환경 변수의 변화에도 학습을 통하여 목표를 달성한다는 것을 확인하였다.

• Asia pacific journal of information systems
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• 제9권3호
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• pp.177-194
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• 1999

Identifying knowledge as the single most important asset ultimately defining organizational competitiveness, enterprises are trying to move towards knowledge-oriented practices. Such practices have given rise to learning and agile organization, This paper presents applied information technologies to realize the learning and agile organization, focusing on systems thinking. Firstly, in order to establish a framework for the systems thinking, an information systems development method based on process chain is proposed. Then, an agent-based microworld simulation approach is presented. The approaches provide visible and analytical information to knowledge workers so that they can have systems thinking capabilities eventually. Various microworlds on the top of the information system can be constructed with agents and simulated for possible business events. All decision makings are dynamic in nature. To let knowledge workers look ahead the possible outcomes of the whole relevant processes is the core capability of the approaches. Through watching, the knowledge workers would be able to acquire new insights or problem solving knowledge for the problem in hand.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제14권2호
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• pp.73-83
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• 2014

Many recent theoretical developments in the field of machine learning and control have rapidly expanded its relevance to a wide variety of applications. In particular, a variety of portfolio optimization problems have recently been considered as a promising application domain for machine learning and control methods. In highly uncertain and stochastic environments, portfolio optimization can be formulated as optimal decision-making problems, and for these types of problems, approaches based on probabilistic machine learning and control methods are particularly pertinent. In this paper, we consider probabilistic machine learning and control based solutions to a couple of portfolio optimization problems. Simulation results show that these solutions work well when applied to real financial market data.

• Journal of the Korean Statistical Society
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• 제36권3호
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• pp.435-445
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• 2007

This paper addresses for the first time the use of complete data information criteria in unsupervised learning of the Naive-Bayes model. A Monte Carlo study sets a large experimental design to assess these criteria, unusual in the Bayesian network literature. The simulation results show that complete data information criteria underperforms the Bayesian information criterion (BIC) for these Bayesian networks.