• 대한수학교육학회지:수학교육학연구
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• 제24권3호
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• pp.443-465
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• 2014

수학 교수학습은 수리 논리적인 수학적 사고의 신장에 초점을 맞추어왔다. 그러나 최근 '서사적 방향 전환'과 함께 수학교육의 분야에서도 이야기의 활용에 대한 관심이 높아지고 있다. 본 연구에서는 서사학, Bruner의 논의, 교육 분야에서 내러티브에 대한 논의 등을 바탕으로, 만들어낸 이야기 또는 다른 사람이 겪은 이야기로서의 '이야기'와 저자 또는 화자가 경험한 수학적 사실들의 스토리 형식을 갖춘 재현으로서의 '수학 내러티브'를 구분하고, 수학 내러티브와 수학적 사실들에 대한 내러티브 사고 양식의 적용을 통해 인지적 의미와 정서적 의미를 구성하는 과정을 논의하였다. 이를 통해 수학 내러티브의 활용이 이야기 활용의 제한점을 보완하는 방식으로 수학에 대한 흥미와 의미를 형성시킬 수 있음을 논의하였다. 끝으로 수학 내러티브의 활용이 수학 교과와 학습자의 통합에 기여할 수 있음을 논의하고 이러한 관점에서 수학 교수학습을 재음미하였다.

• 한국비블리아학회지
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• 제33권4호
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• pp.27-47
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• 2022

이 연구의 목적은 교육과정과 연계할 수 있는 교과 단원목록 시스템의 개발에 있다. 연구방법은 먼저 중학교 교육과정과 과학과 전 학년의 교과서 분석을 통해 단원 주제어를 추출하였다. 이를 바탕으로 교과의 단원주제와 관련된 도서를 연결하여 단원 도서목록, 단원주제어를 색인어로 정리한 색인어목록, 그리고 단원주제와 연계된 학년 및 학교급 연계목록을 하부 시스템으로 하는 단원목록 시스템을 설계하였으며, Notion 프로그램을 활용하여 중학교 과학 1단원을 표본으로 웹상에서 단원목록 시스템을 구현하였다. 시스템 평가를 위해 학생들을 대상으로 실험 및 설문 조사를 하였으며, 시스템 만족도 및 추후 활용 의향 등에서 매우 긍정적인 결과를 보였다. 한편 이 연구는 중학교 과학과를 대상으로 한정하였지만 전체 학년 및 교과로 확대 적용할 것을 제안하였다.

• 기술혁신연구
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• 제9권1호
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• pp.95-120
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• 2001

One of the systematic attempts for technological forecasting is Delphi Method that externalizes and manipulates unformalized experts opinion in a particular problem or subject. It has, however, a critical shortcoming that it can not reflect the degree of interaction that exists among forecast events or subject. Gordon and Hayward(1969) criticize that when the forecast events are strongly interrelated, a totally unrealistic consensus may result. They proposed a new forecasting method that considers the interaction of events, that is, Cross Impact Analysis (CIA). A number of related models have been developed after them. In this study, we examine a variety of research results related to CIA obtained by literature survey and propose the limitation and future research direction. This analysis would be expected to help us to create a strategic scenario on future technology development at the government and firm level.

• 공학교육연구
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• 제20권2호
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• pp.31-38
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• 2017

In this study, specific teaching methods of lecturing and improved discussion methods (combining discussion and problem-based learning) were selected and applied for each major subject and learning content area in the fields of engineering, language, and social sciences. Then, the selected teaching methods were examined to determine the most effective learning contents. Finally, in order to determine the most effective teaching methods, a survey on student satisfaction was analyzed statistically. The results showed that students preferred teaching methods that combine lectures and improved discussion methods to the traditional method of only lectures. Therefore, this research proposes the combined teaching method for each major subject and learning content area.

• 한국안전학회지
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• 제23권3호
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• pp.65-70
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• 2008

Electroencephalogram(EEG) would be the most objective psychophysiological research technique on human errors though few research has been taken yet. This study aimed to get characteristics of human error while committing simple Odd-Ball tasks by utilizing the power spectrum technique of EEG data. Each experiment was composed of 3 tasks with different rules, and three young undergraduate students participated in this study as paid subjects. The result showed that subject and the interaction of subject and task factors were statistically significant on variation of power of $\alpha$ and $\beta$ bands which implied there would exist groups with homogeneity in their response. And though the variation of band powers due to task factors were not so great as to get statistical significance, it implied that the task requiring decoding process would be more strange to human beings than the task merely requiring psychological recall process.

• 한국경영과학회지
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• 제33권2호
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• pp.1-16
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• 2008

The purpose of this paper is to propose a new binary classification method for predicting corporate failure based on genetic algorithm, and to validate its prediction power through empirical analysis. Establishing virtual companies representing bankrupt companies and non-bankrupt ones respectively, the proposed method measures the similarity between the virtual companies and the subject for prediction, and classifies the subject into either bankrupt or non-bankrupt one. The values of the classification variables of the virtual companies and the weights of the variables are determined by the proper model to maximize the hit ratio of training data set using genetic algorithm. In order to test the validity of the proposed method, we compare its prediction accuracy with ones of other existing methods such as multi-discriminant analysis, logistic regression, decision tree, and artificial neural network, and it is shown that the binary classification method we propose in this paper can serve as a premising alternative to the existing methods for bankruptcy prediction.

• 한국경영과학회지
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• 제21권1호
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• pp.163-170
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• 1996

An errors-in-variables model (EVM) differs from the classical regression model in that in the former the independent variable is also subject to error. This paper shows that to assess the applicability of the ordinary least squares (OLS) estimation procedure to the EVM, the relative dispersion of the independent variable to its error variance must be also considered in addition to Mandel's criterion. The effect of physically reducing the variance of errors in the independent variable on the performance of the OLS slope estimator is also discussed.

• 한국국방경영분석학회지
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• 제25권2호
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• pp.144-157
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• 1999

In this paper, we consider a new preventive replacement policy for the system which deteriorates while it is in operation with an increasing failure rate. The system is subject to two types of failure. A type 1 failure is repairable while a type 2 failure is not repairable. In the new policy, a system is replaced at the age of $t_p$ or at the instant the$\textsc{k}^{th}$ type 1 failure occurs, whichever comes first. However, if a type 2 failure occurs before a preventive replacement is performed, a failure replacement should be made. We assume that a type 1 failure can be rectified with a minimal repair. We also assume that a replacement takes a non-negligible amount of time while a minimal repair takes a negligible amount of time. Under a cost structure which includes a preventive replacement cost, a failure replacement cost and a minimal repair cost, we develop a model to find the optimal ($\textsc{k},t_p$) policy which minimizes the expected cost per unit time in the long run while satisfying a system availability constraint.

• 공학교육연구
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• 제20권6호
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• pp.3-11
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• 2017

The purpose of this study is to investigate the variables that learners should consider for learning persistence when applying blended learning to mathematics class which is a basic curriculum of engineering college. For this purpose, this study compared the basic mathematics class with the blended learning and the class without it. In addition, this study analyzed the influence of the learning outcomes of the blended learning on the willingness to learning persistence by using the self-efficacy and self-regulated learning variables that can predict it. As a result, it was found that the blended learning applied mathematics class of K university which is the subject of analysis in this study has higher self - efficacy, self - regulated learning, and learning persistence intention than general classroom. Finally, the results of this study are meaningful to provide the points to be considered for improving the learning performance when applying the blended learning to the subject class in the future.

• 한국국방경영분석학회지
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• 제26권2호
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• pp.143-158
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• 2000

This paper deals with the problem of redundancy allocation for the mixed reliability system in an optimal way. Two kinds of the reliability system are considered for optimal allocation of parallel redundancy. The problem is approached as the optimization problems using th standard method of dynamic programming(DP). The algorithm for solving the optimal redundancy allocation is proposed and then the DP algorithm is applied to two numerical examples such as maximization of reliability subject to an allowable cost-constraint and minimization of the total cost subject to the specified minimum reliability-constraint. A consequence of this study is that the developed computer program package can be applied to the optimal redundancy allocation for the mixed reliability system.