• 한국수학교육학회지시리즈D:수학교육연구
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• 제13권1호
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• pp.31-48
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• 2009

Utilizing the path analysis method, the study explores the relationships among the influential factors in mathematics modeling academic achievement. The following conclusions are drawn: 1. Achievement motivation, creative inclination, cognitive style, the mathematical cognitive structure and mathematics modeling self-monitoring ability, those have significant correlation with mathematics modeling academic achievement; 2. Mathematical cognitive structure and mathematics modeling self-monitoring ability have significant and regressive effect on mathematics modeling academic achievement, and two factors can explain 55.8% variations of mathematics modeling academic achievement; 3. Achievement motivation, creative inclination, cognitive style, mathematical cognitive structure have significant and regressive effect on mathematics modeling self-monitoring ability, and four factors can explain 70.1% variations of mathematics modeling self-monitoring ability; 4. Achievement motivation, creative inclination, and cognitive style have significant and regressive effect on mathematical cognitive structure, and three factors can explain 40.9% variations of mathematical cognitive structure.

• 한국초등과학교육학회지:초등과학교육
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• 제42권3호
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• pp.434-454
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• 2023

본 연구는 초등교육 현장에서 이루어진 모델링 수업 사례와 모델링 수업에 관한 초등교사의 인식이 나타난 연구를 통해 초등과학 모델링 수업의 구성과 속성 및 교사의 역량 요인을 탐색하고자 하였다. 이를 위해 모델링 수업 사례와 초등교사의 인식이 드러난 질적 연구물을 종합적으로 분석하는 질적 메타분석을 수행하였다. 분석 결과, 초등과학 모델링 수업의 구성은 모델을 생성하고 평가한 뒤 수정하는 과정을 거치며, 이러한 과정은 소집단 상호작용 안에서 이루어짐을 알 수 있었다. 초등과학 모델링 수업의 속성은 모델링 수업에 영향을 미치는 요인과 모델링 수업에 참여하는 학생에게 요구되는 역량 요인으로 나뉠 수 있는데, 모델링 수업에 영향을 미치는 요인에는 '소집단 상호작용'과 '수업 시간'이 도출되었다. 모델링 수업에 참여하는 학생들에게 요구되는 역량 요인으로는 '과학 지식', '메타모델링 지식', '감정 조절 능력'이 도출되었다. 초등과학 모델링 수업에 필요한 교사의 역량 요인은 교사가 알아야 할 지식, 갖추어야 할 기능, 태도 측면에서 분석되었다. 분석 결과, 교사는 '메타모델링 지식', '모델링 평가지식'을 알고 있어야 하며, '학생에 대한 감정적 지원' 능력을 갖추고, '모델링의 가치에 대해 인식'하는 것이 필요함을 알 수 있었다. 이러한 분석 결과를 바탕으로 본 연구에서는 효과적인 모델링 수업을 위한 교육적 방법에 대해 논의하였다.

• Journal of Information Technology Applications and Management
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• 제25권1호
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• pp.33-45
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• 2018

This study was initiated to investigate the essential skill factors for system designers in order to build the right information systems. The predicted variables are mathematical modeling skill, verbal modeling skill, general IT knowledge, and general business knowledge. The test was administrated to 43 students majoring in Management Information Systems (MIS) at Hannam University, South Korea. In this study, we used Pearson Correlation Analysis to test the relationships among variables. Overall, our study suggested that there is a strong positive relationship between mathematical and verbal skills and IS modeling ability. A marginal positive relationship between the general IT knowledge and IS modeling ability was also found. Unexpectedly, there was no significant relationship between general business knowledge and IS modeling ability.

• Journal of Information Processing Systems
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• 제18권1호
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• pp.130-145
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• 2022

Games are widely used in many fields, but not all games are successful. Then what makes games successful? The question gave us the motivation of this paper, which is to identify critical factors for successful games with topic modeling technique. It is supposed that game reviews written by experts sit on abundant insights and topics of how games succeed. To excavate these insights and topics, latent Dirichlet allocation, a topic modeling analysis technique, was used. This statistical approach provided words that implicate topics behind them. Fifty topics were inferred based on these words, and these topics were categorized by stimulation-response-desiregoal (SRDG) model, which makes a streamlined flow of how players engage in video games. This approach can provide game designers with critical factors for successful games. Furthermore, from this research result, we are going to develop a model for immersive game experiences to explain why some games are more addictive than others and how successful gamification works.

• 한국항해항만학회지
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• 제31권4호
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• pp.309-315
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• 2007

We've investigated the characteristics on mariner's behavior in the collision situation through a full-mission ship handling simulator and considered that it's necessary to model the standard avoiding behavior of mariners in order to apply the obtained results more widely and effectively. Thus we described the contents of standard avoiding behavior taken by mariners in the collision situation and established the concept of the standard model based on human factors for collision avoidance in a previous study. As a following study, this paper is to propose the method of modeling on mariners' standard behavior for collision avoidance by analyzing the contents of mariner's information processing and the related factors using regression analysis. As a result, we confirmed the influence of relating factors to avoiding behavior in mariner's deciding decisions and proposed the modeling method of mariners' standard behavior for collision avoidance with a example of recognition model.

• International Journal of Computer Science & Network Security
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• 제21권7호
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• pp.8-16
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• 2021

The tourism industry is influenced by a large number of factors that affect the development scenarios of the tourism in different ways. At the same time, tourism is an important component of the national economy of any state, forms its image, investment attractiveness, is a source of income and a stimulus for business development. The aim of the article is to conduct an empirical study to identify the importance of cognitive determinants in the development of tourism. The study used general and special methods: systems analysis, synthesis, grouping, systematization, cognitive modeling, cognitive map, pulse method, predictive extrapolation. Target factors, indicators, and control factors influencing the development of tourism in Ukraine are determined and a cognitive model is built, which graphically reflects the nature of the influence of these factors. Four main scenarios of the Ukrainian tourism industry are established on the basis of creating a matrix of adjacency of an oriented graph and forecast modeling based on a scenario approach. The practical significance of the obtained results lies in the possibility of their use to forecast the prospects of tourism development in Ukraine, the definition of state policy to support the industry that will promote international and domestic tourism.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2013년도 춘계 학술논문 발표대회
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• pp.187-188
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• 2013

Meanwhile, the importance of managing factors affecting labor productivity has been recognized and emphasized. However, in the previous study, qualitative evaluation only took place for these factors. In this study, therefore, identified and quantified the priority of factors decreasing labor productivity, and established basic data.

• 대한조선학회논문집
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• 제32권4호
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• pp.1-8
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• 1995

본 연구는 퍼지모델링을 이용한 고속연안어선의 선형요소 결정을 내용으로 한다. 즉, 고속연안 어선의 전체 저항곡선 및 마력곡선을 고속연안어선의 선형요소 자료들로부터 퍼지모델링을 통해 도출하고, 그 결과를 모형시험 결과와 비교하고 있다. 또한, 퍼지모델링에 의한 전체 저항곡선 및 마력곡선이 고속연안어선의 선형요소 결정에 효율적으로 적용됨을 보이고 있다.

• East Asian mathematical journal
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• 제34권3호
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• pp.317-330
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• 2018

We develop a mathematical model for the obesity dynamics to investigate the long term obesity trend with the consideration of psychological and social factors due to the increasing prevalence of obesity around the world. Many mathematical models for obesity dynamics adopted the modeling idea of infectious disease and treated overweight and obese people infectious and spreading obesity to normal weight. However, this modeling idea is not proper in obesity modeling because obesity is not an infectious disease. In fact, weight gain and loss are related to social interactions among different weight groups not only in the direction from overweight/obese to normal weight but also the other way around. Thus, we consider these aspects in our model and implement personal weight gain feature, a psychological factor such as body image dissatisfaction, and social interactions such as positive support on weight loss and negative criticism on weight status from various weight groups. We show that the equilibrium point with no normal weight population will be unstable and that an equilibrium point with positive normal weight population should have all other components positive. We conduct computer simulations on Korean demography data with our model and demonstrate the long term obesity trend of Korean male as an example of the use of our model.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2006년도 춘계 학술발표회 논문집
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• pp.189-198
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• 2006

This paper concerns the finite element (FE) modeling approach for NATM tunneling in water bearing ground within the framework of stress-pore pressure coupled analysis. Fundamental interaction mechanism of ground and groundwater lowering was first examined and a number of influencing factors on the results of coupled FE analysis were identified. A parametric study was then conducted on the influencing factors such as soil-water characteristics, location of hydraulic boundary conditions, the way of modeling drainage flow, among others. The results indicate that the soil-water characteristics plays the most important role in the tunneling-induced settlement characteristics. Based on the results, modeling guidelines were suggested for stress-pore prssure coupled finite element modeling of NATM tunneling.