• Education of Primary School Mathematics
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• v.25 no.4
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• pp.329-341
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• 2022

Data collection is crucial to the process of statistical problem solving since it influences the quality of statistical data. However, there is little instruction on data collection in the Korean mathematics curriculum. In this study, we examined how the data were collected and how the data collection method was taught in the Korean mathematics textbooks for 3rd and 4th grades. As a result, the data appeared in these textbooks were collected by using a variety of methods, including surveys, experiments, observations, and secondary data collections. There were not enough instructions on experiments and observations, compared to surveys and secondary data collection. Additionally, as each textbook works with a distinct contents while teaching data collection, it is expected that there would be variations in the levels that students learn in relation to data collection. Based on these findings, we draw some discussion points to determine how to improve the mathematics curriculum in order to effectively teach data collection in the elementary school.

• The Mathematical Education
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• v.62 no.2
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• pp.237-255
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• 2023

The objective of this study is to explore the meaning generated through discourse in three different types of 1st-grade middle school textbooks in Korea and CMP textbook in the United States, specifically focusing on histograms. Through a discursive perspective, the study aims to analyze the characteristics of questioning within the stages of statistical problem-solving found in histogram tasks. The findings highlight several significant points. Firstly, variations exist in the definitions of histograms between Korean and US CMP textbooks. Secondly, diverse discursive structures contribute to the interpretation and understanding of histograms in textbooks. Thirdly, limitations are observed in the stages of statistical problem-solving reflected in histogram tasks. Lastly, distinctions are identified in the types of questioning employed in histogram tasks between Korean and US CMP textbooks. Building on these insights, the study suggests concrete ideas for enhancing the process of defining histograms and refining the questioning in histogram tasks.

• Journal of Korea Society of Industrial Information Systems
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• v.14 no.4
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• pp.198-204
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• 2009

It is one of important and interesting topics in mathematics education to study the process of the logical thinking and the intuitive thinking in mathematical problem-solving abilities from the viewpoint of mathematical thinking. The main purpose of the present paper is to investigate on this problem with reference to secondary talented students (students aged 16~17 years). In particular, we focus on the relationship between the preference of mathematical thinking and their problem-solving abilities for logical-type problems by applying logistic regression analysis.

• Journal of Korean Society for Quality Management
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• v.45 no.2
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• pp.227-246
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• 2017

Purpose: This study proposes a Shiny-Sigma Methods that combines the advantages of Six Sigma method and Shainin method in order to solve field defect. Each technique has advantages and disadvantages. Methods: This study proposed Shiny-Sigma by combining Six Sigma has the logical advantage of the problem solving road map and Shiny has the merits of finding the root problem from the defective phenomenon. The Six Sigma method has the disadvantage that it is difficult to solve if the number of data is small, but the Shiny method has the advantage of finding the root cause with a small number of data. Results: As a result of applying Shiny-Sigma method to the field, it has advantages of solving the problem easily and quickly than the existing Six Sigma method. It does not require a lot of statistical knowledge, which helps field workers to use it. Based on these successes L Co. company has obtained the effect of improving the production quality by applying the Shiny-Sigma method. Conclusion: The Shiny-Sigma method proved to be suitable for the production site as a result of field application. It is suitable for field workers with low statistical knowledge and is suitable for field where data is difficult to obtain. This method is not a method to solve all the problems because there are problems that can be solved according to the field problems. We hope that this method will spread to many industrial sites and this method will have a great effect on the improvement of field production quality.

• Journal of The Korean Association of Information Education
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• v.14 no.3
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• pp.319-328
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• 2010

Computer programming education gives students a chance to use computers independently and actively. This plays a very positive role in acquiring higher cognitive skills such as mathematical skills and creative logical thinking. Thus the purpose of this study is to measure the degrees of students' problem-solving abilities using MCU programming kits based on the ICT Education Guide. The experiment confirms that programming classes using MCU kits have a more positive effect on the students problem-solving abilities than do those using the existing computer textbooks. The sub-constituents of problem-solving abilities - problem recognition, information gathering, analysis, diffuse thinking, decision-making, planning, execution, evaluation and feedback - also show significant statistical differences. Therefore, we can conclude that programming classes using MCU kits are very effective in advancing problem-solving abilities.

• Korean Journal of Child Studies
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• v.21 no.2
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• pp.157-169
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• 2000

This study investigated the effects on interpersonal cognitive problem-solving skill of discussion with children of moral conflicts in traditional fairy tales. The subjects were forty 4-to 5-year-old children. The experimental group took part in discussion after hearing traditional fairy tales showing moral conflict, and the control group only listened to the fairy tales. Statistical analysis was by the SAS program. Conclusions were that discussion of moral conflicts found in traditional fairy tales brings about a positive result in children's interpersonal cognitive problem-solving skill.

• Korean Journal of Childcare and Education
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• v.11 no.1
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• pp.289-303
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• 2015

The aim of this study was to examine the short-term longitudinal effect of creativity-fostering programs for pre-early childhood teachers on their problem solving ability and self-efficacy. The participants of this study were 67 pre-early childhood teachers (36 from the experimental group and 31 from the control group) in Seoul, Kyunggi-do, and Chungcheong-do, Korea. Pre-early childhood teachers' problem solving ability and self-efficacy was measured three times. Data were analyzed with a $2{\times}3$ ($group{\times}test$) two-way analysis of variance for repeated measures. The change in problem solving and self-efficacy appeared to be dependent on the group and test. Further statistical analysis of the data indicated that the participation of creativity-fostering programs for pre-early childhood teachers was longitudinally effective on their problem solving ability and self-efficacy.

• Journal of the Korean earth science society
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• v.41 no.6
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• pp.670-683
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• 2020

The purpose of this study was to develop a test tool for convergence problem solving skill. To this end, constructs of convergence problem solving skill were defined in three domains: convergence attributes, convergence thinking, and convergence literacy domains. Thirty-seven pilot items were developed on the basis of the sub-categories for each domain that was defined through intensive literature review; problem solving & convergent thinking and creative thinking for convergence thinking domain, individual and social propensity for the convergence attributes domain, and convergence literacy as convergence literacy domain. Through an exploratory factor analysis, 30 items in the constructs of the test tool were confirmed. A confirmatory factor analysis result showed that the five construct models well captured the covariance between all the items well. Finally a statistical result shows that the reliability of the items and constructs were well established (Cronbach's α value= .963). Thus, the test tool for convergence problem solving skill developed in this study was statistically reliable.

• Journal of Korean Home Economics Education Association
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• v.7 no.2
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• pp.91-101
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• 1995

The purposes of the study were to: (1) develop instructional method for consumer education of home economics in the middle school. (2) test the effectiveness of the developing instructional method focusing on the problem solving. In the method of the research, literature review related to the consumer education. models of teaching and characteristics of problem solving method were studied. Also, on the basis of theoretical evidence. the teaching plan focusing on problem solving method was developed. In addition, experimental research was done to find out the learning effectiveness on the developing instructional method of the study. This experimental research were made in the six classes of the three middle school in Seoul. For the statistical analysis of the study, frequency, mean and two way ANOVA(factorial design) were used. The results of this study were summarized as follows; (1) The developed instructional method of the study was more effective than the traditional lecture method. (2) The effects of the teaching-learning method were depended on the sex. The learning effects on the female students were higher than the male students. (3) The learning effects on the students were influenced by the sex and teaching method.

• Communications of Mathematical Education
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• v.37 no.4
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• pp.717-736
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• 2023

The purpose of this study is to develop a statistical program using data and artificial intelligence prediction models and apply it to one class in the sixth grade of elementary school to see if it is effective in improving students' statistical literacy. Based on the analysis of problems in today's elementary school statistical education, a total of 15 sessions of the program was developed to encourage elementary students to experience the entire process of statistical problem solving and to make correct predictions by incorporating data, the core in the era of the Fourth Industrial Revolution into AI education. The biggest features of this program are the recognition of the importance of data, which are the key elements of artificial intelligence education, and the collection and analysis activities that take into account context using real-life data provided by public data platforms. In addition, since it consists of activities to predict the future based on data by using engineering tools such as entry and easy statistics, and creating an artificial intelligence prediction model, it is composed of a program focused on the ability to develop communication skills, information processing capabilities, and critical thinking skills. As a result of applying this program, not only did the program positively affect the statistical literacy of elementary school students, but we also observed students' interest, critical inquiry, and mathematical communication in the entire process of statistical problem solving.