• 한국수학교육학회지시리즈D:수학교육연구
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• 제13권3호
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• pp.181-195
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• 2009

Students' approaches to mathematical problem solving vary greatly with each other. The main objective of the current study was to compare students' performance with different thinking styles (divergent vs. convergent) and working memory capacity upon mathematical problem solving. A sample of 150 high school girls, ages 15 to 16, was studied based on Hudson's test and Digit Span Backwards test as well as a math exam. The results indicated that the effect of thinking styles and working memory on students' performance in problem solving was significant. Moreover, students with divergent thinking style and high working memory capacity showed higher performance than ones with convergent thinking style. The implications of these results on math teaching and problem solving emphasizes that cognitive predictor variable (Convergent/Divergent) and working memory, in particular could be challenging and a rather distinctive factor for students.

• 대한수학교육학회지:수학교육학연구
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• 제23권2호
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• pp.153-171
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• 2013

본 연구의 목적은 학생들의 수학적 사고 스타일에 따른 문제해결과정에서 나타나는 특징을 발견함으로써 교사가 학생에게 다양한 표상을 제공하는 방법론에 대한 시사점을 주는 것이다. 이러한 특징들을 분석하기 위해서 대학교 1학년 학생 202명에게 지필검사를 실시한 후 수학적 사고 스타일을 고려한 4개 그룹으로 분류하여 그룹별로 두 명씩 총 8명에 대해 인터뷰를 실시하였다. 그 결과, 수학적 사고 스타일은 수학적 개념 정의방법, 표상에 대한 문제해결, 표상 간의 번역능력과 관계가 있다고 결론지을 수 있었다. 이러한 결과를 토대로 Dienes의 지각적 다양성의 원리를 구체화하여 향후 교수학습에서 다양한 표상을 제시하는 방법론에 대한 시사점을 줄 것으로 기대할 수 있다.

• 한국수학교육학회지시리즈C:초등수학교육
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• 제17권2호
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• pp.77-93
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• 2014

본 연구의 목적은 영재의 사고양식 및 수학적 능력의 특성을 밝혀 영재의 특성을 고려한 프로그램 개발에 이바지하고자 하는 데 있다. 이를 위해 초등학교 수학영재교육 대상자와 일반학생을 대상으로 사고양식과 수학적 능력의 구성 요소를 분석하고, 두 변인간의 상호관련성을 탐색하였다. 연구 결과에 따르면 수학영재교육대상자가 일반학생에 비해 입법형, 사법형, 위계형, 전체형, 부분형 내부지향형, 자유형의 사고양식이 높을 뿐만 아니라 계산력, 추론 능력, 가역성, 일반화, 공간, 기억력의 수학적 능력 또한 수학영재교육대상자가 일반학생보다 높은 것으로 나타났다. 그리고 회기분석 결과, 사고양식과 수학적 능력 간에는 어느 정도 상관관계가 있음을 알 수 있었다.

• 한국수학교육학회지시리즈D:수학교육연구
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• 제16권2호
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• pp.137-154
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• 2012

Comparative studies on mathematical modeling cognition feature were carried out between 15 excellent high school third-grade science students (excellent students for short) and 15 normal ones (normal students for short) in China by utilizing protocol analysis and expert-novice comparison methods and our conclusions have been drawn as below. 1. In the style, span and method of mathematical modeling problem representation, both excellent and normal students adopted symbolic and methodological representation style. However, excellent students use mechanical representation style more often. Excellent students tend to utilize multiple-representation while normal students tend to utilize simplicity representation. Excellent students incline to make use of circular representation while normal students incline to make use of one-way representation. 2. In mathematical modeling strategy use, excellent students tend to tend to use equilibrium assumption strategy while normal students tend to use accurate assumption strategy. Excellent students tend to use sample analog construction strategy while normal students tend to use real-time generation construction strategy. Excellent students tend to use immediate self-monitoring strategy while normal students tend to use review-monitoring strategy. Excellent students tend to use theoretical deduction and intuitive judgment testing strategy while normal students tend to use data testing strategy. Excellent students tend to use assumption adjustment and modeling adjustment strategy while normal students tend to use model solving adjustment strategy. 3. In the thinking, result and efficiency of mathematical modeling, excellent students give brief oral presentations of mathematical modeling, express themselves more logically, analyze problems deeply and thoroughly, have multiple, quick and flexible thinking and the utilization of mathematical modeling method is shown by inspiring inquiry, more correct results and high thinking efficiency while normal students give complicated protocol material, express themselves illogically, analyze problems superficially and obscurely, have simple, slow and rigid thinking and the utilization of mathematical modeling method is shown by blind inquiry, more fixed and inaccurate thinking and low thinking efficiency.

• 한국수학교육학회지시리즈E:수학교육논문집
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• 제37권2호
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• pp.257-276
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• 2023

수학적 모델링이란 실세계 문제 상황을 이해하고 이를 수학적인 방법으로 변환하여 수학적 모델을 토대로 실세계 문제 상황을 해결해나가는 일련의 과정이라고 할 수 있다. 선행연구를 통해 수학적 모델링을 활용한 수업의 학습 효과가 밝혀짐에 따라 우리나라에서도 효과적인 수학적 모델링 수업을 위한 다양한 연구가 이루어지고 있다. 본 연구는 초등수학영재의 수학적 사고 양식에 따라 수학적 모델링 과정에서 나타나는 메타인지적 특성을 분석함으로써 수학적 모델링 지도 과정에서의 시사점을 모색하는 것을 목적으로 한다. 이를 위해 S시 소재 대학부설과학영재교육원 초등수학 영재학생 39명을 대상으로 수학적 사고 양식 검사를 진행하여 검사 결과에 따라 시각적, 분석적, 혼합적 모둠으로 분류하고 각 사고 양식이 가장 뚜렷하게 드러나는 3개 모둠(총 12명)의 수학적 모델링 과정에서 나타나는 메타인지 특성을 분석하였다. 분석 결과, 모델링 단계와 모둠 특성에 따라 메타인지 요소가 다르게 나타나는 것을 확인하였으며, 이와 같은 분석 결과에 기초하여 수학적 모델링 지도 과정에서의 교수학적 시사점을 도출하였다.

• 대한수학교육학회지:학교수학
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• 제15권2호
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• pp.243-262
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• 2013

본 연구는 인지적 측면에서 수학 교사의 교수 양식을 분석하는 것을 목적으로 하고 있다. 이를 위해 먼저 문헌 연구를 통해 수학에서 서로 대비되는 유형으로 분류될 수 있는 인지적 사고 요소들을 탐색하고, 확인적 요인분석을 통해 이 요소들을 시각적 양식과 분석적 양식으로 범주화할 수 있다는 것을 검증하였다. 요인 분석 결과를 바탕으로 두 가지 양식과 두 가지 양식이 대등하게 나타나는 혼합적 양식을 수학 교수 양식으로 설정하고, 교사들의 양식을 분석할 수 있는 분석틀을 개발하였다. 또한, 수학 교수 양식 분석틀을 Flanders의 언어 상호작용 분석법(Amidon & Flanders, 1967)에 적용하여 교사들의 수학 수업을 통해서 교수 양식을 분석할 수 있는 방법을 설계하였다. 그리고 이를 활용해 수학 수업에서 교사들이 사용하는 수학적 언어를 분석한 결과, 실제로 시각적 양식, 분석적 양식, 혼합적 양식이 나타나는 것을 확인하였다.

• 한국수학교육학회지시리즈D:수학교육연구
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• 제15권4호
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• pp.373-386
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• 2011

Students approach mathematical problem solving in fundamentally different ways, particularly problems requiring conceptual understanding and complicated strategies. The main objective of this study is to compare students' performance with different thinking styles (Field-dependent vs. Field independent) in mathematical problem solving. A sample of 242 high school males and females (17-18 years old) were tested based on the Witkin's cognitive style (Group Embedded Figure Test) and by a math exam designed in accordance with Bloom's Taxonomy of cognitive level. The results obtained indicated that the effect of field dependency on student's mathematical performance was significant. Moreover, field-independent (FI) students showed more effective performance than field-dependent (FD) ones in math tasks. Male students with FI styles achieved higher results compared to female students with FD cognitive style. Moreover, FI students experienced few difficulties than FD students in Bloom's Cognitive Levels. The implications of these results emphasize that cognitive predictor variables (FI vs. FD) could be challenging and rather distinctive factor for students' achievement.

• 한국수학교육학회지시리즈A:수학교육
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• 제53권1호
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• pp.25-40
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• 2014

Mathematical concept exists in the structural form, not in the independent form. The purpose of this study is to consider the network which students actually have for the mathematical concept structure related to the properties of derivatives. First, we analyzed the properties of derivatives in 'Mathematics II' and showed the mathematical concept structure of the relations among derivatives, functions, and primitive functions as a network. Also, we investigated the understanding of high school students for the mathematical concept structure between derivatives and functions, and the structure between functions and second order derivatives when the functional formula is not given, and only the graph is given. The results showed that students mainly focus on the relation of 'function-derivatives', the thinking process for direction of derivative and the thinking style for algebra. On this basis, we suggest the educational implication that is necessary for students to build the network properly.

• 아동학회지
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• 제10권1호
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• pp.1-10
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• 1989

This study compared the effects of open and directed teaching styles on creativity and mathematical achievement. The subjects were 32 three- and four-year-old children enrolled in the Home Economics Laboratory Nursery School at the University of Arkansas during the fall semester of 1987. In this study, the open teaching style was a child-oriented method of teaching with the help or guidance rather than the actual instruction of teacher, while the directed teaching style was a teacher-oriented method of teaching with actual instruction of the teacher. Forty-eight activities and materials relevant to mathematical concepts appropriately designed for the subjects were used. The nursery school children were divided into morning and afternoon groups. Utilizing a Latin square design, the children in the morning group were taught by the directed teaching style for four weeks followed by a three week period of no planned mathematical activities, then taught by the open teaching style for four weeks. The children in the afternoon group followed the same schedule except the open teaching style was first. At the end of the two four-week sessions of mathematics experiences Thinking Creatively in Action and Movement and selected items of Tests of Basic Experiences 2: Mathematics were administered. The scores of each of the two tests were analyzed using a t-test of dependent measures for the two teaching styles, the sex, and the age of the children. Children taught using the directed teaching style showed a significantly higher originality and mathematical achievement scores than those taught using the open teaching style. Differences for sex and age revealed that the directed teaching style was a significantly better method of instruction to foster the originality for boys and the mathematical achievement for four-year-old children.

• 대한수학교육학회지:학교수학
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• 제2권1호
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• pp.1-27
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• 2000

In the past half century little effort has been made for the improvement of teaching and learning statistics compared with other parts of school mathematics. But recently data analysis has begun to play a prominant role in the national reform efforts of mathematics curricula in the United States of America and the United Kingdom. In this paper we overview modern statistical thinking differed from mathematical thinking and examine the problems of current old-style teaching of statistics. And, we discuss the current data handling(or data analysis) emphasis in the national curriculum of mathematics in the countries mentioned above. We explore the reform direction of statistics teaching; changing the philosophy of teaching statistics, teaching real data analysis, emphasis of using computer, and teaching statistical inference not as mathematics but as intuitive data-centered approach.