• Title/Summary/Keyword: Thinking System

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Improving Computational Thinking Comprehension through Visualized Sorting App Development

  • Kim, Jongwan;Kim, Taeseong
    • Journal of Multimedia Information System
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    • v.8 no.3
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    • pp.191-196
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    • 2021
  • Computational thinking refers to the process and method of solving everyday problems using computers. When teaching a computational thinking class for computer majors and non-majors at university, the easiest example to deliver the concept of computational thinking is sorting. Sorting is the concept of arranging given data in order. In this work, we have implemented four visualized sorting algorithms that anyone can easily use. In particular, it helps to understand the difference between the algorithms by showing the number of comparisons and exchanges between elements, which are the criteria for evaluating the performance of the sorting algorithm in real time. It was confirmed that the practice of using the sorting visualization app developed in this research contributed to the improvement of students' understanding of computational thinking.

Systems Thinking Perspective on the Collapse of Savings and Loan Banking System in Korea (저축은행 사태에 대한 시스템 사고적 고찰)

  • Ahn, Nam-Sung
    • Korean System Dynamics Review
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    • v.13 no.1
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    • pp.63-80
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    • 2012
  • This paper is aiming at providing the systems thinking perspective on the collapse of the savings and loan banking system in Korea. Two causal loop diagrams are developed to conduct the analysis: The first is focusing on the structural problems included in the establishment of S&L banking in 1990s. The later is developed based on the project financing mechanism by controlling the credit standard required during the due diligence. The result of this study shows that the main cause of the collapse of the S&L banking is the structural problem connected to real estate market including the failure of regulation.

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System Thinking on Diabetes Prevention and Management (당뇨병 예방 및 관리의 시스템 사고)

  • Noh, Young-Min;Lee, Ji-Uhn;Park, Jun-Hee;Choi, Nam-Hee;Homer, Jack B.;Yun, Eun-Kyoung
    • Korean System Dynamics Review
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    • v.17 no.1
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    • pp.25-40
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    • 2016
  • This research aims to identify important variables and their effects on diabetes prevention or progression from prediabetes to diabetic complication using system thinking. Based on the existing studies, we have constructed a causal loop diagram explaining dynamics of diabetes and have found 7 important reinforcing loops and 3 balancing loops in the causal loop diagram. The CLD displays an effect of increasing prediabetes early detection and awareness on diabetes prevention. The findings indicate that the projects in Korea for reducing incidence of diabetes and potential risk of complication have focused on variables which are related only on diabetes even though prediabetes has been a critical point on diabetes prevention and management. Thus, it also concludes that the effect of projects focusing only on diabetes have faced limitation to manage diabetes accordingly.

LEVERAGING SYSTEM DYNAMICS ARCHETYPES IN CASEMIX SIMULATION MODELING

  • Mahendran, Maliapen;Quaddus, Mohammed;Ramaseshan, Ram
    • Proceedings of the Korea Society for Simulation Conference
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    • 2001.10a
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    • pp.13-19
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    • 2001
  • Unlike that of most management science methodologies, the focus in systems thinking is not on \\\"solving\\\" problems or seeking an optimal solution. Conventional problem solving does not explicitly consider the context of the problem. This implies that the \\\"hospital financial management problem\\\" could be neatly isolated from its environmental and external factors. System thinking and system archetypes, in contrast, acknowledges the messiness of the world and views a problem in the context of its environment. This is one reason why qualitative variables play an important role in system thinking, as these variables represent conditions or phenomena that cannot be measured or accounted in a strictly quantitative approaches. In this paper we present specific healthcare system archetypes which consider such external influences in the healthcare industry in Australia and observe their behavior over time. behavior over time.

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Dynamic Relationship between Social Integration and Social Capital in the Residential Redevelopment Districts Based on the System Thinking Perspectives (시스템사고로 본 주택 재개발 지역의 사회 통합과 사회적 자본과의 동태적 관계)

  • Kim, Byung-Suk
    • Korean System Dynamics Review
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    • v.11 no.4
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    • pp.61-76
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    • 2010
  • The purpose of this paper is to review relationship between social integration and social capital in the residential redevelopment districts based on the system thinking perspective using causal loop analysis. The results are as follows. First, social exclusion phenomena brings about relative deprivation for rental housing occupants feeling left out and close by area residents. This acts as a motive triggering antisocial activities for the rental housing occupants. Second, rental housing and housing for installment should be mix-developed to improve social exclusion phenomenon issues. Third, increase of creating work program in the relationship between residential redevelopment districts and social capital boosts employments, individual earnings, and local area investments. The conclusion provides some research implications and future research direction.

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A Study on Development Deep Learning Based Learning System for Enhancing the Data Analytical Thinking (데이터 분석적 사고력 향상을 위한 딥러닝 기반 학습 시스템 개발 연구)

  • Lee, Young-ho;Koo, Duk-hoi
    • Journal of The Korean Association of Information Education
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    • v.21 no.4
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    • pp.393-401
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    • 2017
  • The purpose of this study is to develop a deep learning based learning system for improving learner's data analytical thinking ability. The contents of the study are as follows. First, deep learning was applied to the discovery learning model to improve data analytical thinking ability. This is a learning method that can generate a model showing the relationship of given data by using the deep learning method, then apply the model to new data to obtain the result. Second, we developed a deep learning based system for DBD learning model. Specifically, we developed a system to generate a model of data using the deep learning method and to apply this model. The research of deep learning based learning system will be a new approach to improve learner's data analytical thinking ability in future society where data becomes more important.

Developing a Framework of Conceptual Understandings of Earth Systems

  • Nam, Younkyeong
    • Journal of the Korean earth science society
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    • v.37 no.5
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    • pp.309-322
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    • 2016
  • This paper presents an analytical framework of Conceptual Understandings of Earth Systems (CUES) that shows a relationship between disciplinary knowledge of Earth systems and the specific thinking skills required to understand that knowledge. This framework is developed through an extensive literature review of students' and teachers' understandings of earth systems concepts and systems thinking in earth science context. This study first presents the categories of disciplinary knowledge of Earth systems, Earth System Knowledge (ESK). This study then illustrates a relationship between categories of ESK and the ontological categories (Matter, Process, Systems) that has been used to study students' conceptual understandings of Earth systems. Finally, this study presents the CUES framework to show the relationship between disciplinary knowledge and thinking skills. The implications of using this framework for curriculum development, assessment, and teacher education and ESS research are discussed.

Evolutionary Analogy of 6-Step Problem Solving Method Based on TRIZ (TRIZ 기반의 6스텝 기반 문제해결 프로세서와 추론방법)

  • Jin, Taeseok
    • Journal of the Korean Society of Industry Convergence
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    • v.23 no.1
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    • pp.33-39
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    • 2020
  • In this research, Many people understand that the (accidental) tip and the "analogy" that leads to it have played a central role in many instances of creative problem solving.And it has been pursued as a way to get more hints to make a 'knowledge base' which is a collection of many cases. The Unified Systematic Inventive Thinking (USIT), which makes it easier to apply TRIZ, will seek out various ideas through a process of analyzing the current system and examining the ideal system more clearly. In this paper, we describe the rationale and application procedure of the "6 step thinking method" which improves the "4 step thinking method".

Reinterpretation of the Learning Organization from the Oriental Perspectives (동양의 시각에서 본 학습조직의 재해석)

  • Kim, Sang-Wook
    • Korean System Dynamics Review
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    • v.9 no.1
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    • pp.33-56
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    • 2008
  • With emphasis on the importance of systems thinking for the establishment of learning organization, Senge in his famous book "The Fifth Discipline", explains in depth four disciplines such as personal mastery, mental models, shared vision, team learning, which are all geared up to the implementation of learning organization. However, two critical pitfalls are found: First, a holistic picture is absent in his presentation of learning organization, which just seems like a puzzle with linking pieces missing between disciplines. Secondly, as is often the case too much details are discussed in expense of insights on each discipline. This paper thus attempts to draw core metaphysical insights underlying Senge's learning organization disciplines by reinterpreting them from oriental perspectives; and to identify mechanisms depicting how they are working together as a whole, which is enabled by exploiting causal loop diagrams as a tool of systems thinking. In addition some thoughts on the implications of systems thinking on each of the learning organization disciplines.

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Development and Application of a System Thinking-Based Approach with the Use of a Patient Simulator in Nursing Education : Focus on Congestive Heart Failure (시스템 사고기반 울혈성 심부전 간호교육 시뮬레이션 프로그램 개발 및 적용)

  • Kim, Hyeon-Young;Yun, Eun Kyoung
    • Korean System Dynamics Review
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    • v.15 no.4
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    • pp.61-84
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    • 2014
  • This study aims to explore the development and application of a simulated skills package designed to improve nursing students' knowledge integration and their system thinking(ST) skills about congestive heart failure(CHF) and to identify the change in students' ST levels using a ST-based learning approach. A simulated learning support package was developed by nurse educators and ST experts. The developed program was implemented with 35 third-year nursing students from S university in Seoul. The subjects improved their ST skills regarding CHF after intervention. Mean test scores for students completing the program were significantly higher than pre-intervention scores, including measures of direction of causality, polarity of causal relationship, feedback loop, polarity of feedback loop (reinforcing, balancing) and time delay (t=2.26~6.53, p=.030~p<.001). It is suggested that more educational programs be developed on various topics in order for nursing students to improve their ST skills as well as knowledge integration in clinical nursing practicum packages.

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