• Title/Summary/Keyword: Math education

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An Analytic Study of Beliefs in Mathematics and Mathematics Education (예비 중등수학교사의 수학 및 수학교육에 관련한 신념 분석연구)

  • Kang, Ok-Ki;Han, Shin-Il
    • Journal of Educational Research in Mathematics
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    • v.17 no.4
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    • pp.381-393
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    • 2007
  • The study focuses on what to consider and do for the improvement of math education of Korean Universities by comparing freshmen and seniors of department of math education in their beliefs in mathematics and math. education. The major comparing topics in the beliefs are composed of perception of mathematics as a science, learning methods of mathematics, teaching methods of mathematics, and roles and qualifications of math. teachers. The results of the study show that junior students tend to be more positive in their beliefs, especially in math education area than that of mathematics, compared to the freshmen. It implies that how important the role of topics covered in math education during college years is for changing the future teachers' beliefs in math and math education more positively. The supposed influencing contents of the curriculum of math. education are composed of learning reflection method based on problem-based learning, understanding mathematics as originated from the real world, mathematical pedagogy, text analysis, practice in classroom, and understanding various concepts in math. education area.

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How to Present Math Puzzles in Classroom (어떻게 수학퍼즐을 제시할 것인가)

  • Hong, Gap-Ju
    • Education of Primary School Mathematics
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    • v.14 no.1
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    • pp.57-67
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    • 2011
  • The purpose of this study is to discuss the way and the purpose of presenting math puzzles in classroom. Firstly, the characteristics of math puzzles are discussed and the various uses of math puzzles are looked for. Secondly, The author illustrates models of classroom teaching with puzzles. Thirdly, The author discusses what subjects of mathematics could be dealt with in the math puzzle classroom. Finally, The author indicates that the teaching with math puzzles give chance of feeling 'mathematical composure' not only to students but also to teachers.

Math Creative Problem Solving Ability Test for Identification of the Mathematically Gifted

  • Cho Seok-Hee;Hwang Dong-Jou
    • Research in Mathematical Education
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    • v.10 no.1 s.25
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    • pp.55-70
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    • 2006
  • The purpose of this study was to develop math creative problem solving test in order to identify the mathematically gifted on the basis of their math creative problem solving ability and evaluate the goodness of the test in terms of its reliability and validity of measuring creativity in math problem solving on the basis of fluency in producing valid solutions. Ten open math problems were developed requiring math thinking abilities such as intuitive insight, organization of information, inductive and deductive reasoning, generalization and application, and reflective thinking. The 10 open math test items were administered to 2,029 Grade 5 students who were recommended by their teachers as candidates for gifted education programs. Fluency, the number of valid solutions, in each problem was scored by math teachers. Their responses were analyzed by BIGSTEPTS based on Rasch's 1-parameter item-response model. The item analyses revealed that the problems were good in reliability, validity, difficulty, and discrimination power even when creativity was scored with the single criteria of fluency. This also confirmed that the open problems which are less-defined, less-structured and non-entrenched were good in measuring math creativity of the candidates for math gifted education programs. In addition, it discriminated applicants for two different gifted educational institutions and between male and female students as well.

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A Modular Based Approach on the Development of AI Math Curriculum Model (인공지능 수학교육과정의 모듈화 접근방법 연구)

  • Baik, Ran
    • Journal of Engineering Education Research
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    • v.24 no.3
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    • pp.50-57
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    • 2021
  • Although the mathematics education process in AI education is a very important issue, little cases are reported in developing effective methods on AI and mathematics education at the university level. The universities cover all fields of mathematics in their curriculums, but they lack in connecting and applying the math knowledge to AI in an efficient manner. Students are hardly interested in taking many math courses and it gets worse for the students in humanities, social sciences and arts. But university education is very slow in adapting to rapidly changing new technologies in the real world. AI is a technology that is changing the paradigm of the century, so every one should be familiar with this technology but it requires fundamental math knowledge. It is not fair for the students to study all math subjects and ride on the AI train. We recognize that three key elements, SW knowledge, mathematical knowledge, and domain knowledge, are required in applying AI technology to the real world problems. This study proposes a modular approach of studying mathematics knowledge while connecting the math to different domain problems using AI techniques. We also show a modular curriculum that is developed for using math for AI-driven autonomous driving.

The Analysis on the Necessary Factors for College Mathematics Learning and Its Implication on the Mathematics Education (대학수학 학습에 필요한 요인 분석과 학습지도)

  • Kim Byung-Moo
    • Communications of Mathematical Education
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    • v.20 no.2 s.26
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    • pp.215-230
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    • 2006
  • In this paper, we performed research about the successful and unsuccessful factors for college math education. In addition, on the basis of the results from the comparative study on the Korean/foreign students' attitude toward the role of computers in math study, we tried to find out the ways to reflect the results on college math education. As the ways to improve college math education we propose that the professors should emphasize the significance of math and explain the successful and unsuccessful factors for math learning during the initial period of each semester. Furthermore, the professors should recognize the importance of computers in math study and ask for the university authority's support to provide necessary softwares and establish computer labs.

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A Case Study on Why Students Dislike Math (수학을 싫어하는 학생의 사례 연구)

  • 라병소
    • Education of Primary School Mathematics
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    • v.2 no.2
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    • pp.75-83
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    • 1998
  • The present study investigated why students do not like math using deep-level interview method. The reasons of why students dislike math were classified into three: socio-cultural, and individual factors, and math itself. Socio-cultural factors include the environments where students are reared, family, and school culture. Individual factors mean competitive disposition, preconception of math, active disposition, and conflicts with friends or teachers. Finally, students seem to dislike math because math itself is a difficult subject. In addition, textbook and instruction are also difficult, or they are lack of fundamental math knowledge. There may be other reasons of why students do not like math subject. In spite of those reasons, there should be some efforts to analyze why students dislike math and to help the students have interests in math.

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Math-Club을 이용한 대학수학 학습

  • Kim, Byeong-Mu
    • Communications of Mathematical Education
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    • v.10
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    • pp.271-282
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    • 2000
  • 수학과가 없는 대학에서 대학수학을 가르치는데 여러 가지 어려운 점들을 Math-Club을 이용하여 해결하고, 또한 그들을 활용하여 수학에 대한 관심을 고조시키며 수학에 자신감을 상실한 학생들을 지도하도록 한다. 그리고 Math-Club은 수학 학습 이외의 대학생활과 앞으로 사회에 진출하여 활동하는데 유익한 정보를 제공하며, 더불어 사는 사회의 구성원으로서 Math-Club이 좋은 배경과 힘이 됨을 알게 한다.

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Brain Activity Related with Mathematics Anxiety

  • YUN, Eun Jeong;SHIN, In Sun
    • Research in Mathematical Education
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    • v.19 no.2
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    • pp.117-139
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    • 2015
  • For the purpose of determining neurophysiological mechanism of math anxiety, we conducted an EEG measurement for 22 sixth grade elementary students including 11 students with high math anxiety (HMA group), and 11 students with low math anxiety (LMA group). We found that in HMA group, delta wave was significantly generated from the right frontal lobe, and in LMA group, four paths are clearly connected while they perform math tasks (right inferior occipital gyrus ${\leftrightarrow}$ left superior parietal lobule /left middle frontal gyrus ${\leftrightarrow}$ left inferior parietal lobule /left middle frontal gyrus ${\leftrightarrow}$ right inferior parietal lobule / right middle frontal gyrus ${\leftrightarrow}$ right inferior parietal lobule). According to the above results we suggest that math anxiety is related to emotions associated with pain, reduces working memory and has a negative effect on math performance.

Understanding Mathematics Textbook Based on the Seventh School Curriculum (제 7차 교육과정에 따른 수학 교과서의 이해: 초등학교를 중심으로)

  • 신항균;황혜정
    • Education of Primary School Mathematics
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    • v.4 no.1
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    • pp.31-41
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    • 2000
  • There has been much concern and worry about executing school curriculum from the year 2000 because the seventh curriculum is based on the complicated' differentiated education' concept. Now the new textbook has been developed according to the curriculum. This paper will reinforce the understanding of the curriculum and textbook in school math. In order to do this, this paper will present questions on three subjects to help school teachers and people related to math education to probe and discuss the benefits and problems of teaching math using the new textbook. The three subjects are based on the contents included in certain chapters of the math textbook. These are 1) understanding mathematics concepts using manipulatives or concrete objects, 2) doing math projects or problem solving activities 3) learning mathematics using calculators. furthermore, it is emphasized in this paper that math teachers must keep in mind that they should execute instruction in their own way using the 'textbook' not as a bible but as a guideline.

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An Analysis of Math Dislike Factors by the High School Students' Math Achievement Differences (고등학교 학생의 수학 성취 수준에 따른 수학 기피요인 분석 연구)

  • Cha In-Sook
    • The Mathematical Education
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    • v.45 no.3 s.114
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    • pp.251-262
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    • 2006
  • This study investigates 628 high school students' math dislike tendencies by their math achievement levels. The findings show that, firstly, as the sample students' math achievement level decreases, the number of dislike factors increase. Secondly, students' math dislike factors are differentiated by their math achievement levels. Math high achievers show high math disliking tendency by teacher factor. Middle achievers show high math disliking tendency by complex application and relation factors. Low achievers show high math disliking tendency by comprehension factor. Finally the math disliking factors affecting the level of math achievement are influenced by schools and grades that students' attend. While math disliking factors such as comprehension factor, teacher factor, affection factor are generally present among sample schools, exceptionally JS high school students(high achieving students) are only affected by mentality factor. In addition, mentality factor affects the second grade students only. The implications of the study argue that students' math disliking tendencies could be systematically reduced by paying attention to such dependent variables students' achievement levels, grade, school characteristics, and independent variables including teacher, application, mentality, comprehension, and affection.

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