• Title/Summary/Keyword: Problem analysis

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Study on Problem Solving in Elementary School Mathematics through Comparative Analysis (종횡비교분석을 통한 초등학교 수학의 문제해결에 대한 검토)

  • Chang, Hye-Won
    • Journal of Educational Research in Mathematics
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    • v.19 no.2
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    • pp.207-231
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    • 2009
  • The purpose of this study is to examine the state of problem solving in Korean elementary mathematics. To do this, we considered the meaning of problem and problem solving in mathematics education, and analyzed the mathematics curricula in the longitudinal-latitudinal dimensions respectively. The longitudinal one consists in examining and comparing the all-time Korean elementary mathematics curricula. Meanwhile the latitudinal one consists in examining and comparing the elementary mathematics curricula of Singapore, the United Kingdom, Japan, and France. As a result of analysis, we selected ten sieves for analysing Korean elementary mathematics textbooks according to the 7th mathematics curriculum. By the analysis, we conclude that we teach problem solving quite positively in school mathematics relative to another countries, in particular we have to reconsider some issues including dealing problem solving as a independent content not a process integrated in other contents.

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Analysis Study of Mathematical Problem Structure through Concept Map (Concept Map을 통한 수학 문제의 구조 분석 연구)

  • Suh, Bo Euk
    • Communications of Mathematical Education
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    • v.32 no.1
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    • pp.37-57
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    • 2018
  • In the early days, the use of concept maps in mathematics education focused on how to represent mathematical ideas in the concept map. In recent years, however, concept maps have proved beneficial for improving problem solving ability. Conceptual diagrams can be used for collaboration among students, tools for exploring problems, tools for introducing problem structures, tools for developing and systematizing knowledge systems. In this study, we focused on the structure analysis of mathematical problems using Concept Map based on the analysis of previous research. In addition, we have devised a method of using concept maps for problem analysis and a method of analysis of systematic mathematical problem structure. The method developed in this study was found to have significant value by applying to the university scholastic ability test.

Analysis of Teacher's Verbal Interactions and Problem Solving Strategies in Young Children's Environmental Education Using Language Network Analysis Methods (언어네트워크 분석방법을 활용한 유아환경교육에서 교사의 언어적 상호작용과 문제해결전략 분석)

  • Choi, Yoon-Ji
    • Journal of Convergence for Information Technology
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    • v.11 no.3
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    • pp.147-158
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    • 2021
  • The purpose of this study is to perform of composition of young children teacher's verbal interactions and problem solving strategies by semantic network analysis. The data was collected the narrative of teacher in young children's environmental education. Additionally, this study used categories as a unit of analysis in order to find out structural characteristics. The results of this study were as follows. First, teacher's verbal interactions, providing information was the most cental, high influence appeared along with integration. Second, teacher's problem solving strategies, suggestion was the most cental, high influence appeared along with divergent thinking. Third, teacher's verbal interactions and problem solving strategies, suggestion was the most cental, providing information and divergent thinking appeared a strong connection. Besides, suggestion and decision were mediated by concern of problem, assessment appeared connection. Through these results from this study it is suggested that in order to interact and support problem solving process in young children's environmental education, teacher education to respond and understand contextually with young children is necessary.

Neural Network-based Decision Class Analysis with Incomplete Information

  • Kim, Jae-Kyeong;Lee, Jae-Kwang;Park, Kyung-Sam
    • Proceedings of the Korea Database Society Conference
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    • 1999.06a
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    • pp.281-287
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    • 1999
  • Decision class analysis (DCA) is viewed as a classification problem where a set of input data (situation-specific knowledge) and output data (a topological leveled influence diagram (ID)) is given. Situation-specific knowledge is usually given from a decision maker (DM) with the help of domain expert(s). But it is not easy for the DM to know the situation-specific knowledge of decision problem exactly. This paper presents a methodology fur sensitivity analysis of DCA under incomplete information. The purpose of sensitivity analysis in DCA is to identify the effects of incomplete situation-specific frames whose uncertainty affects the importance of each variable in the resulting model. For such a purpose, our suggested methodology consists of two procedures: generative procedure and adaptive procedure. An interactive procedure is also suggested based the sensitivity analysis to build a well-formed ID. These procedures are formally explained and illustrated with a raw material purchasing problem.

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A Study on Structural Analysis of Color Discerning Device for the Performance Enhance (Color Discerning Device의 구조해석을 통한 성능향상에 대한 연구)

  • Kim, Sung-Hyun;Lee, Kyu-Ho;Chung, Jin-Tai
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2006.11a
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    • pp.571-576
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    • 2006
  • A Color Discerning Device(CDD) is the equipment to use in Rice Processing Complex(RPC). By use a high-speed charge-coupled device camera, CDD can sorting discolored grain according to light and shade. The existing CDD's driving performance is not so good as overseas machine. Besides, transportation process causes a defect in the mechanism from impact or harmonic excitation or etc. This study is represented the problem of CDD through modal analysis and static analysis by using ANSYS workbench. To analysis the problem of driving condition, devide each part of CDD for performed modal analysis. The problem of driving condition and transportation process solved by carry out modal analysis and static analysis.

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Neural Network-based Decision Class Analysis with Incomplete Information

  • 김재경;이재광;박경삼
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 1999.03a
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    • pp.281-287
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    • 1999
  • Decision class analysis (DCA) is viewed as a classification problem where a set of input data (situation-specific knowledge) and output data(a topological leveled influence diagram (ID)) is given. Situation-specific knowledge is usually given from a decision maker (DM) with the help of domain expert(s). But it is not easy for the DM to know the situation-specific knowledge of decision problem exactly. This paper presents a methodology for sensitivity analysis of DCA under incomplete information. The purpose of sensitivity analysis in DCA is to identify the effects of incomplete situation-specific frames whose uncertainty affects the importance of each variable in the resulting model. For such a purpose, our suggested methodology consists of two procedures: generative procedure and adaptive procedure. An interactive procedure is also suggested based the sensitivity analysis to build a well-formed ID. These procedures are formally explained and illustrated with a raw material purchasing problem.

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An Methodology Research of the Quality of Life of the Allogenic Bone Marrow Transplantation Survivors (동종골수이식 환자의 삶의 질 측정도구 개발)

  • Lee, Sun-Gyo
    • Asian Oncology Nursing
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    • v.1 no.1
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    • pp.18-31
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    • 2001
  • This Research was designed to develop an instrument that can be used for measuring and analysing the degree of the quality of life of the Allogenic bone marrow transplantation survivors and to provide basic data to help them attain a better quality of life. The subjects of this study were a total of 101 people who were undergone Allogenic bone marrow transplantation and were over 100 days after transplantation. Data were collected during the period from September 3 to December 2. 2000. In Developing this instrument, the researcher established a conceptual framework based on the result of previous research, interview of patients and medical staff and researcher's experience. The scale for this instrument consisted of 51 items. Responses were obtained from the respondents through a self reporting method and each item had a possible score of 5. The collected data were analyzed using the SPSS program. The reliability of the scale was tested by Cronbach‘s alpha. For the examination of the component factors of the measuring instruments, factor analysis method was used. Examination of the difference in the quality of life as related to demographic variables was done using t-test, analysis of variance(ANOVA). For the examination of the major variables influencing the quality of life, Pearson's Correlations was used. The results were as follows: (1) The reliability of the instrument was 0.90 (Cronbach's alpha) (2) The validity of the instrument was tested by factor analysis. The result of the factor analysis of the 51 items is making up the instruments were classified into the following factor; emotional state, Interpersonal problem, physical problem, spiritual state, social problem, decrease of physical energy, physical problem-eye, physical problem-skin and mucosa, health awareness, elimination problem, worry about health, financial problem, sexual problem. (3) Demographic variables related to quality of life is the time after transplantation. GVHD experience, lose of job. Age at the transplantation, diagnosis, type of the transplantation, marital status, monthly income, educational background, sex, religion are not related to the quality of life.

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The Effect of Problem-based Learning Strategies (PBL) on Problem Solving Skill: A Meta-Analysis. (문제중심학습(PBL)이 문제해결능력에 미치는 효과에 관한 메타분석)

  • Park, Il-Soo
    • Journal of the Korea Convergence Society
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    • v.10 no.10
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    • pp.197-205
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    • 2019
  • The purpose of this research was examining the effects of problem-based learning strategies(PBL) on problem solving skill conducted in Korea, using meta-analysis technique. This meta-analysis reviewed the results of 41 studies published between 1998 and 2017 in Korea. The overall weighted mean effect size value was .753 with .064 standard error which was calculated by random effects model. PBL strategies have been found to be more effective in mathematics course (d=.922), art course (d=.916), practical art course (d=.827), E-PBL (d=.791) and middle school level (d=.972). As PBL exhibit a substantial effect on students' problem solving skill, it is recommended that teachers should learn how to implement these strategies in their lesson. PBL is expected to contribute to the improvement of teaching methods as the learning environment changes during the 4th Industrial Revolution.

Designing a Model of Problem Posing focusing on the Analysis of Meaning (의미 분석을 강조한 문제설정 모형 설계하기)

  • Jun, Young Bae;Roh, Eun Hwan;Kim, Dae Eui;Kang, Jeong Gi
    • Journal of the Korean School Mathematics Society
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    • v.16 no.2
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    • pp.383-407
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    • 2013
  • As an alternative of making students active and independent under the passive learning conditions in school math classes, many researchers have paid much attention to problem posing and done a lot of research on it. Above all, Brown and Walter proposed What I f Not strategy as a means of problem posing. In this strategy, during the process of posing problems, the transformation of their attributes is inevitably made, and so after problem posing, the process is finished by explaining the problem. But only the simple transformation of attributes could pose wrong problems. It suggests that it is very important to recognize the relationship which leads to organic connection between attributes in order to pose the right problem. However, many other studies of problem posing haven't focused on this fact. Thus, this study tried to design a model of problem posing to help recognize inherent knowledge in the problem and then pose the right problem by adding an activity of meaning analysis. We concretely showed a model of problem posing emphasizing the analysis of meaning by means of an example, thereby examining the meaning of the model. This study expects students to have the chance to understand the true meaning of problem posing and to be active learners after all.

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An Analysis on Teachers′ Role in Teaching Mathematical Problem Solving (수학적 문제해결 지도에서 교사의 역할에 대한 분석)

  • 전평국;정인수
    • Education of Primary School Mathematics
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    • v.7 no.1
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    • pp.1-14
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    • 2003
  • The purpose of this research is to explore teachers' role actions in teaching mathematical problem solving and to analyze the influences of the teachers'role actions on their students' activities and beliefs about problem solving. The results obtained in this study suggested that the teachers' role actions brought qualitative differences to students' activities, and students' beliefs about mathematical problem solving were consistent with the perspective held by their teachers. Therefore, teachers should help students build up desirable beliefs about problem solving. They should understand teaching mathematical problem solving and play proper roles in various situations of teaching mathematical problem solving.

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