• Title/Summary/Keyword: 풀이된 예제

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The Learning Effect of Test that Worked Examples Used as Options (풀이 과정을 답지로 이용한 시험 방식의 학습 효과)

  • Lim, Jeong-Man;Park, Joo-Yong
    • Korean Journal of Cognitive Science
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    • v.21 no.4
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    • pp.627-653
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    • 2010
  • The present study proposes and examines a new type of multiple-choice math test. In this format, the options are the intermediate derivatives of the math problem solution process rather than the final answers. This idea originates from the studies on the effect of worked-out examples. In these studies, it has been shown that students learn better when they were presented with worked-out examples than when presented with final answers by themselves. In line with these findings, we introduced the intermediate derivatives of the solution process as the options of multiple-choice items so that the test-taker will have a chance to examine the solution process. The test was implemented as a computerized test in which students can solve problems in a short answer format, and then pick a multiple-choice option which appears when requested. The experimental group had multiple-choice options which were intermediate derivatives of the solution process, and the control group had the final answers as the options as in most multiple-choice tests. The participants were 6th graders in elementary school. The posttest results revealed that the average score of the experimental group was higher than that of the control group. The results suggest that tests that use intermediate derivatives of the problem solution process as options can be used as learning tools in the classrooms. Finally, directions for further studies were discussed.

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대학수학에서, 실수를 이용한 학습지도

  • Kim, Byeong-Mu
    • Communications of Mathematical Education
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    • v.19 no.1 s.21
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    • pp.45-55
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    • 2005
  • 대학수학 1학년 과정(미분적분학)에서 정리, 정의 등 개념의 이해를 도와주기 위해 학생들이 갖는 어려움을 그들이 자주 겪는 실수를 통해 찾아내어 분석하고 올바른 이해의 길로 안내한다. 실수를 탓하기보다 학생의 편에 서서 이해하고 도움을 주도록 한다. 흔히 부딪칠 수 있는 예제 문제를 풀어보게 하고 공통으로 저지르는 실수를 제시하여 개념의 이해나 문제풀이를 바르게 하도록 이끌어 준다.

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2002년 월드컵 축구 예제를 활용한 수학 I 의 확률학습모형 개발

  • Park, Dong-Jun;Park, Gwang-Won
    • Communications of Mathematical Education
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    • v.12
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    • pp.265-280
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    • 2001
  • 고등학교 수학 I 의 확률 및 통계영역의 교육내용을 정리한 후, 고등학생들에게 확률 및 통계영역에 관한 흥미를 돋구기 위하여 2002년 월드컵을 소재로 한 문제들을 활용하여 비주얼 베이직으로 프로그램한 ‘확률상자’ 라는 확률모형을 개발하였다. 확률상자에는 확률의 역사, 경우의 수, 순열, 같은 것이 있는 순열, 원순열, 조합, 이항계수, 통계적 확률, 조건부 확률, 배반사건 등 모두 10가지 모듈을 포함한다. 확률상자의 초기화면에서 메뉴를 선택하면 선택된 내용에 관한 간단한 정의와 함께 문제가 제시되어 정답을 적도록 하였고, 오답일 때는 힌트를 누르면 정답을 이해할 수 있도록 풀이과정을 제시하였다. 특히, 메뉴가운데서 경우의 수, 순열, 같은 것이 있는 순열, 원순열, 조합, 통계적 확률의 경우에는 풀이과정 중에 애니메이션 또는 시뮬레이션이 실행되도록 하여 이해를 돕도록 하였다.

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Fuzzy modeling with emphasis on both global fitting and local interpretation : An LMI approach (전역적 성능과 지역적 성능을 동시에 고려하는 TS 퍼지 모델링 : LMI를 이용한 풀이)

  • Kwak, Ki-Ho;Park, Joo-Young
    • Proceedings of the KIEE Conference
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    • 2000.07d
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    • pp.2989-2991
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    • 2000
  • TS 퍼지 모델은, 복잡한 비선형 시스템을 효과적으로 표현할 수 있는 주요한 근사 모델 중 하나이다. TS 퍼지 모델링을 위한 기존의 학습 방법론들은 대부분 전역적 근사 오차를 최소화하는 것을 목적으로 하는데, 이러한 경우에는 결과로서 얻어지는 75 퍼지 모델의 국소모델들이 근사 대상 시스템의 국소적 특성을 제대로 표현 할 수 없는 상황이 발생할 수 있다. 따라서 본 논문에서는 이러한 특성을 고려하여 새로운 학습 알고리즘을 제시함으로써 전역 지역적 성능을 동시에 향상시킬 수 있는 TS 퍼지 모델을 구하고자 한다 모델을 구하는데 있어서는 LMI를 이용한 풀이를 이용한다. 그리고 간단한 예제를 통하여 그 성능을 입증한다.

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A Study on Numerical Simulation for Dynamic Analysis of Towed Low-Tension Cable with Nonuniform Characteristics (불균일 단면을 갖는 저장력 예인케이블의 동적해석을 위한 수치해석적 연구)

  • 정동호
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.16 no.1
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    • pp.69-76
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    • 2003
  • Low-tension cables have been increasingly used in recent years due to deep-sea developments and the advent of synthetic cables. In the case of low-tension cables, large displacements may happen due to relatively small restoring forces of tension and thus the effects of fluid and geometric non-linearities and bending stiffness. A Fortran program is developed by employing a finite difference method. In the algorithm, an implicit time integration and Newton-Raphson iteration are adopted. For the calculation of huge size of matrices, block tri-diagonal matrix method is applied, which is much faster than the well-known Gauss-Jordan method in two point boundary value problems. Some case studies are carried out and the results of numerical simulations are compared with a in-house program of WHOI Cable with good agreements.

Equilibrium of transport mode choice in logit model (로짓 수단선택모형의 균형연구)

  • Im, Yong-Taek
    • Journal of Korean Society of Transportation
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    • v.28 no.5
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    • pp.131-139
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    • 2010
  • The transport mode choice problem is to determine which of the alternative transport modes connecting an origin and destination will be used by a traveler. Most of the research relating to transport mode choice have mainly been focused on modeling, properties, and applications of the model, but rarely were concerned with equilibrium among the modes. This paper proves the equilibrium among the modes by using a logit mode choice model, and then verifies it with the Korean Transport Database (KTDB). In order to obtain such an equilibrium, this paper also presents a solution algorithm based on the fixed point theorem. The algorithm was tested with an example and confirmed the equilibrium solution.

A Study on Effective e-Teaching & Learning Method for Pogramming Education (프로그래밍 교육을 위한 효과적인 교수학습방법 연구)

  • Kim, Kyong-Ah;Moon, Nammee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.04a
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    • pp.978-979
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    • 2015
  • 스마트 러닝을 위한 다양한 시도가 있으나, 프로그래밍과 같이 예제나 흐름에 관한 설명이 중요한 경우, 학습자의 학습결과로 주어진 문제 풀이가 올바른 답이라 할지라도 앞 뒤 맥락에 따른 이해를 하고 있는 가는 학습태도를 관찰함으로써 보다 긍정적인 학습효과를 얻을 수 있다. 본 연구는, 학습자의 학습결과와 학습태도를 관찰하여 이를 학습자 개인성향과 보다 나은 학습 활동에 지침이 되도록 하는 것을 목표로 한다. 학습태도는 학습콘텐츠 제공자에 의해서 주어진 학습패턴과 학습자의 학습패턴을 시선 추적을 통해서 측정하고, 두 패턴 사이의 차이를 비교하여 태도의 집중도와 일관성을 관찰하고자 한다.

RTE System based on CBT for Effective Office SW Education (효과적인 오피스 SW 교육을 위한 CBT 기반의 RTE(Real Training Environment)시스템)

  • Kim, Seongyeol;Hong, Byeongdu
    • Journal of Korea Multimedia Society
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    • v.16 no.3
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    • pp.375-387
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    • 2013
  • Advanced internet service and smart equipment have caused an environment supporting various online learning anytime and anywhere, which requires learning contents optimized on a new media. Among various on/off line education related to IT, most part if it is office SW. Many oh them cannot make a good education for effective training in practical because many instructors are tend to focus on teaching simple function and use examples of formality repeatedly. In this paper we propose a new office SW education system that make use of LET(Live EduTainer) based on RTE(Real Training Environment) which maximize the effect of learning and it is integrated with GBL(Game Based Learning) which gives rise to interesting in a knowledge as well as simple teaching so that learners are absorbed on it. We'll elaborate a method for teaching and learning required in this system, design and configuration of the system.

Equilibrium trip distribution model (균형 통행분포모형연구)

  • Im, Yong-Taek
    • Journal of Korean Society of Transportation
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    • v.28 no.6
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    • pp.159-166
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    • 2010
  • Trip distribution is to connect travel demand for each OD pair based on travel cost, trip production and attraction derived from trip generation step. In real world the travel cost is a function of travel demand, but existing models could not fully consider such functional relation between travel cost and demand, which leads to an equilibrium in trip distribution model. This paper proves the equilibrium trip distribution by using gravity model. In order to obtain such equilibrium this paper also presents a solution algorithm based on fixed point theorem. The algorithm will be tested with an example and confirmed the equilibrium solution of trip distribution.

Development of multiclass traffic assignment algorithm (Focused on multi-vehicle) (다중계층 통행배분 알고리즘 개발 (다차종을 중심으로))

  • 강진구;류시균;이영인
    • Journal of Korean Society of Transportation
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    • v.20 no.6
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    • pp.99-113
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    • 2002
  • The multi-class traffic assignment problem is the most typical one of the multi-solution traffic assignment problems and, recently formulation of the models and the solution algorithm have been received a great deal of attention. The useful solution algorithm, however, has not been proposed while formulation of the multi-class traffic assignment could be performed by adopting the variational inequality problem or the fixed point problem. In this research, we developed a hybrid solution algorithm which combines GA algorithm, diagonal algorithm and clustering algorithm for the multi-class traffic assignment formulated as a variational inequality Problem. GA algorithm and clustering algorithm are introduced for the wide area and small cost. We also performed an experiment with toy network(2 link) and tested the characteristics of the suggested algorithm.