• Title/Summary/Keyword: 수학기호

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Drawing up class module elements of originality and convergence and suggesting class modules by combining middle school physical education and STEAM (중학교 체육과 STEAM 융합을 통한 창의·융합 수업 모듈 요소 도출 및 수업 모듈 제시)

  • Hong, Hee-Jung;Lim, Hyun-Joo
    • Journal of Wellness
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    • v.14 no.2
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    • pp.207-223
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    • 2019
  • The purpose This study aimed at proposing class module elements for creativity and convergence and class models for creativity and convergence by integrating content elements by physical activity field(health, challenge, competition, ) for physical education and STEAM. For this, literature review, focus group interview(FGI) and discussions with experts were conducted, and the following study results have been drawn up: First, concerning the class module elements for creativity and convergence, total 11 class module elements in the health field were suggested including detecting risks by posture analysis and analyzing and designing amount of physical activity. Second, total 7 module elements in the challenge field were deduced such as anticipation of obstacles to target achievement and modeling of effective exercise. There were 17 convergence elements in the competition field including game record analysis and creation of game data storage application. Third, total 9 creativity and convergence module elements in the field include modeling of technology improvement for motion and symbolization for motion records. In addition, class modules related to convergence with engineering in the health field, convergence with technology in the challenge field, convergence with art in the competition field and convergence with art and mathematical symbols were proposed.

Skemp's concept development of underachievers' analytic geometry using the exploratory software, GSP & Excel (탐구형 소프트웨어를 활용한 해석기하에서 학습부진학생들의 개념형성에 관한 연구: 관계적.도구적 이해를 중심으로)

  • Yoon, In Jun;ChoiKoh, Sang Sook
    • Journal of the Korean School Mathematics Society
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    • v.15 no.4
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    • pp.643-671
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    • 2012
  • The purpose of this study was to examine How the exploratory activities using Excel and GSP which are exploratory software, in learning analytic geometry affected on the underachievers' analytic geometry concept development process. The subjects of 5 students who received the 8th~9th grades from their examination of the last semester, participated in a total of 7 units based on Skemp's intelligent learning model. The results of the study showed that there were two important cases found to nearly achieve the category $R_2$. One was reflective thinking could happen through exploratory software in category $R_1$. The other was the exploratory activities which could have the same effectiveness as the relational understanding in category $I_2$, as Skemp mentioned that there is a room to be achieved in the elementary level when such relational understanding is achieved.

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A Study on the Special Characters as UX/UI Icon Design Elements (UX/UI 아이콘 디자인 요소로서 특수 문자 체계 연구)

  • Song, Jae-yeon
    • Journal of Digital Convergence
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    • v.19 no.5
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    • pp.397-405
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    • 2021
  • The purpose of this study is to organize the system of special characters as UX/UI icon design elements, thus laying the groundwork for improvement direction for unclear use regulations. This study examines the theoretical background of UX/UI design and special characters and discovers UX/UI design and special characters' relations and assignments. Besides, the case study summarizes the system of special characters being utilized in the company's UX/UI icon design guidelines to produce the study results. As a result of the analysis, the special character types being utilized in UX/UI were graphic characters, mathematical symbols, punctuation marks, and parentheses. And the special characters commonly used in analysis cases, iOS, Android, and Windows, are ▶, ♥, ★, ○, ⊙, +, ×, ⋯. So this study organizes the common characters to standardize them. Hopefully, this study contributes to increasing the interest in the study of 'special characters' in the UX/UI design field and helps establish a framework for future industrial standards.

A Study on the Transformation of Algebraic Representation and the Elaboration for Grade 7 (중학교 1학년 학생의 대수적 표상 전환 및 정교화 연구)

  • Lee, Kyong Rim;Kang, Jeong Gi;Roh, Eun Hwan
    • Journal of the Korean School Mathematics Society
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    • v.17 no.4
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    • pp.507-539
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    • 2014
  • The algebra is an important tool influencing on a mathematics in general. To make good use of the algebra, it is necessary to transfer from a given situation to a proper algebraic representation. But some research in related to algebraic word problems have reported the difficulty changing to a proper algebraic representation. Our study have focused on transformation and elaboration of algebraic representation. We investigated in detail the responses and perceptions of 29 Grade 7 students while transforming to algebraic representation, only concentrating on the literature expression form the problematic situations given. Most of students showed difficulties in transforming both descriptive and geometric problems to algebraic representation. 10% of them responded wrong answers except only a problem. Four of them were interviewed individually to show their thinking and find the factor influencing on a positive elaboration. As results, we could find some characteristics of their thinking including the misconception that regard the problem finding a functional formula because there are the variables x and y in the problematic situation. In addition, we could find the their fixation which student have to set up the equation. Furthermore we could check that making student explain own algebraic representation was able to become the factor influencing on a positive elaboration. From these, we also discussed about several didactical implications.

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Analysis of Highschool Students' Error types and Correction in Learning Function (고등학생들의 함수단원 학습과정에서 나타나는 오류유형 분석과 교정)

  • Yang, Ki-Yeol;Jang, You-Sun
    • Journal of the Korean School Mathematics Society
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    • v.13 no.1
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    • pp.23-43
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    • 2010
  • This study is to investigate how much highschool students, who have learned functional concepts included in the Middle school math curriculum, understand chapters of the function, to analyze the types of errors which they made in solving the mathematical problems and to look for the proper instructional program to prevent or minimize those ones. On the basis of the result of the above examination, it suggests a classification model for teaching-learning methods and teaching material development The result of this study is as follows. First, Students didn't fully understand the fundamental concept of function and they had tendency to approach the mathematical problems relying on their memory. Second, students got accustomed to conventional math problems too much, so they couldn't distinguish new types of mathematical problems from them sometimes and did faulty reasoning in the problem solving process. Finally, it was very common for students to make errors on calculation and to make technical errors in recognizing mathematical symbols in the problem solving process. When students fully understood the mathematical concepts including a definition of function and learned procedural knowledge of them by themselves, they did not repeat the same errors. Also, explaining the functional concept with a graph related to the function did facilitate their understanding,

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Genetic Programming based Manufacutring Big Data Analytics (유전 프로그래밍을 활용한 제조 빅데이터 분석 방법 연구)

  • Oh, Sanghoun;Ahn, Chang Wook
    • Smart Media Journal
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    • v.9 no.3
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    • pp.31-40
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    • 2020
  • Currently, black-box-based machine learning algorithms are used to analyze big data in manufacturing. This algorithm has the advantage of having high analytical consistency, but has the disadvantage that it is difficult to interpret the analysis results. However, in the manufacturing industry, it is important to verify the basis of the results and the validity of deriving the analysis algorithms through analysis based on the manufacturing process principle. To overcome the limitation of explanatory power as a result of this machine learning algorithm, we propose a manufacturing big data analysis method using genetic programming. This algorithm is one of well-known evolutionary algorithms, which repeats evolutionary operators such as selection, crossover, mutation that mimic biological evolution to find the optimal solution. Then, the solution is expressed as a relationship between variables using mathematical symbols, and the solution with the highest explanatory power is finally selected. Through this, input and output variable relations are derived to formulate the results, so it is possible to interpret the intuitive manufacturing mechanism, and it is also possible to derive manufacturing principles that cannot be interpreted based on the relationship between variables represented by formulas. The proposed technique showed equal or superior performance as a result of comparing and analyzing performance with a typical machine learning algorithm. In the future, the possibility of using various manufacturing fields was verified through the technique.