• 복식문화연구
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• 제20권5호
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• pp.753-765
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• 2012

This study tested the validity of the six-factor model of fashion savvy which was modified from the consumer savvy scale developed by Macdonald and Uncles(2007) and explored the relationship between fashion savvy and consumer propensity to observe. Regarding the relationship, it was hypothesized that consumer propensity to observe antecedes fashion savvy. Data were gathered by surveying university students in Seoul metropolitan area, using convenience sampling, and 311 questionnaires were used in the statistical analysis. In analyzing data, factor analysis and regression were conducted. The findings show the validity of the six factors of fashion savvy, which are fashion sophistication, interpersonal network competency, online network competency, marketing literacy, consumer self-efficacy, and consumer expectations. Tests of the hypothesized relationship show that two factors of consumer propensity to observe influence fashion savvy. More specifically, the 'observing shoppers' factor positively influences all six factors of fashion savvy, whereas the 'following what others buy' factor negatively influences four factors of fashion savvy, fashion sophistication, interpersonal network competency, marketing literacy, and consumer self-efficacy. The implications of these findings and suggestions for future study are also discussed.

• 한국수학교육학회지시리즈A:수학교육
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• 제50권4호
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• pp.489-505
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• 2011

This study is an analysis on the focus of textbooks regarding the statistical chapters of "measures of representative(central tendency) and of the spread". Applying the summary-concept criteria of Juhyeon Nam(2007), 4 kinds of aspect of the chapter; (1) definition and its teleological validity of the measures of representative, (2) definition and practical value of the measures of spread (3) distributional form on the measures of representative and of spread (4) location and scale preservation or invariance of the measures of representative and of spread were observed. On the measures of representative, some definitions were insufficient to check the teleological validity of the measure. Most definitions of the measure of spread were based on the practical view points but no preparation for the future statistical inferences were found even by implication. Some books mention about the measures of representative and of spread for distributions, but we could not find any comments on the correspondence between the sample mean and the expectation of a distribution or population mean. However it is stimulant that some books check the validity of corresponding measures with the location and scale preservation or invariant property, that were not found in the previous curriculum.

• 한국수학교육학회지시리즈A:수학교육
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• 제55권3호
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• pp.317-334
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• 2016

Knowledge and data interpretation on statistical estimation was important to have statistical literacy that current curriculum was said not to satisfy. The author investigated mathematics teachers' MKT on statistical estimation concerning interpretation of confidence interval by using questionnaire and interview. SMK of teachers' confidence was limited to the area of textbooks to be difficult to interpret data of real life context. Most of teachers wrongly understood SMK of interpretation of confidence interval to have influence upon PCK making correction of students' wrong concept. SMK of samples and sampling distribution that were basic concept of reliability and confidence interval cognized representation of samples rather exactly not to understand importance and value of not only variability but also size of the sample exactly, and not to cognize appropriateness and needs of each stage from sampling to confidence interval estimation to have great difficulty at proper teaching of statistical estimation. PCK that had teaching method had problem of a lot of misconception. MKT of sample and sampling distribution that interpreted confidence interval had almost no relation with teachers' experience to require opportunity for development of teacher professionalism. Therefore, teachers were asked to estimate statistic and to get confidence interval and to understand concept of the sample and think much of not only relationship of each concept but also validity of estimated values, and to have knowledge enough to interpret data of real life contexts, and to think and discuss students' concepts. So, textbooks should introduce actual concepts at real life context to make use of exact orthography and to let teachers be reeducated for development of professionalism.

• 한국항공운항학회지
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• 제31권1호
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• pp.57-67
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• 2023

The purpose of this study was to analyze male pilot candidates' life satisfaction, basic psychological needs and grit by experiencing COVID-19 period for pilot literacy education. Participants were 1,249 male pilot candidates (COVID-19 before 613, during 636) were voluntarily participated. The data were gathered from totally 29 question's questionnaire at April 2018 and 2022. Statistical treatment was processed (by SPSS 21.0 for windows) as descriptive and two-way ANOVA for analyzing variables' interaction and main effects. The correlation analysis was processed for analyzing each variable's relations. And the multiple regression analysis was conducted for basic psychological needs' each variables' effect on life satisfaction. Statistical significancy was set as p<.05. The results were as follows. First, variables showed significances (p<.05~.01) by COVID-19 except life satisfaction and competence. Second, correlations showed higher R² value in 2018 than 2022 and significances (p<.05~.01) among all variables, but, passion of grit need to be inspected in subsequent study. Third, multiple regressions showed significancies (p<.05) in all variables in 2018, but, relatedness was excluded in 2022. In conclusion, experiencing COVID-19 period affected pilot candidates' life and it need to be inspected the degree of effect of variables in subsequent study.

• Korean Journal of Radiology
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• 제22권10호
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• pp.1697-1707
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• 2021

The recent introduction of various high-dimensional modeling methods, such as radiomics and deep learning, has created a much greater diversity in modeling approaches for survival prediction (or, more generally, time-to-event prediction). The newness of the recent modeling approaches and unfamiliarity with the model outputs may confuse some researchers and practitioners about the evaluation of the performance of such models. Methodological literacy to critically appraise the performance evaluation of the models and, ideally, the ability to conduct such an evaluation would be needed for those who want to develop models or apply them in practice. This article intends to provide intuitive, conceptual, and practical explanations of the statistical methods for evaluating the performance of survival prediction models with minimal usage of mathematical descriptions. It covers from conventional to deep learning methods, and emphasis has been placed on recent modeling approaches. This review article includes straightforward explanations of C indices (Harrell's C index, etc.), time-dependent receiver operating characteristic curve analysis, calibration plot, other methods for evaluating the calibration performance, and Brier score.

• 한국수학교육학회지시리즈A:수학교육
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• 제62권2호
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• pp.237-255
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• 2023

본 연구에서는 담론적 관점에서 우리날 중학교 1학년 교과서 3종과 미국 CMP 교과서 담론에서 생성된 히스토그램의 의미를 분석하는 한편, 히스토그램 과제의 통계적 문제해결 단계별 발문의 특징을 조사하여 향후 히스토그램에 관한 교과서 담론 개선에 구체적인 아이디어를 제공하고자 한다. 분석 결과 첫째, 국내 교과서와 미국 CMP 교과서에서 히스토그램을 정의하는 방식의 차이가 있었고, 둘째, 교과서에서 히스토그램의 의미를 구성하는 담론적 구조는 다양했다. 셋째, 히스토그램 과제에 반영된 통계적 문제해결 단계가 제한적이었고, 넷째, 국내 교과서와 미국 CMP 교과서의 히스토그램 과제 발문에서 학생들에게 요구하는 활동에 차이가 나타났다. 이를 바탕으로 히스토그램을 정의하는 과정과 과제의 발문 개선에 대한 아이디어를 제안하고자 한다.

• 한국학교수학회논문집
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• 제22권4호
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• pp.501-520
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• 2019

본 연구의 목적은 한국, 미국, 싱가포르, 일본의 중학교 수학과 교육과정의 통계영역의 성취기준과 학습 요소를 중심으로 비교·분석하여 우리나라의 중학교 통계영역의 교육과정의 개선 방향에 대한 시사점을 얻기 위함이다. 교육과정 비교·분석 결과, 전반적인 성취기준과 학습 요소에 대한 특징과 차이점을 발견하였다. 첫째, 한국, 미국, 싱가포르, 일본 네 나라 모두 실생활 맥락에서의 통계교육을 강조하였다. 둘째, 네 나라 모두 공학적 도구의 활용을 강조하였다. 셋째, 우리나라만 통계영역을 다루지 않는 학년이 있다. 넷째, 미국, 싱가포르, 일본의 통계영역은 자료 분포의 경향을 파악하는데 중점을 두었다. 다섯째, 미국, 싱가포르, 일본에서는 다루지만 우리나라에서는 다루지 않는 학습 요소를 몇 가지 찾을 수 있었다. 이를 바탕으로 우리나라의 차기 교육과정 개발과 새로운 교과서 개발을 위한 시사점을 도출하였다. 첫째, 통계적 개념의 이해 위주에서 이를 활용한 통계적 활동 중심의 교육과정이 되어야 한다. 둘째, 중학교 통계영역 교육과정의 학습 요소 개선 측면에서, 사분위범위와 상자 그림을 학습 요소로 추가하는 것을 고려할 필요가 있다. 사분위범위와 상자 그림은 자료 분석 영역에서 복수의 집단 간의 비교를 위한 간단하고 실용적인 기법으로, 중학생 수준의 학생들이 간단히 배워서 쉽게 그릴 수 있고, 실생활 관련 통계적 자료에 적용하면서 통계적 소양을 확충할 수 있다. 본 연구를 통해 사분위범위와 상자 그림이 우리나라 중학교 통계영역 교육과정에도 새롭게 추가 선정될 필요가 있음을 제안한다.

• 한국학교수학회논문집
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• 제7권2호
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• pp.51-65
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• 2004

본 연구는 학교수학에서의 통계교육에 대한 개선방향을 탐구하기 위해 이루어졌다. 한국과 미국의 수학과 교육과정에서 통계교육의 핵심 내용을 살펴보고 학생들의 통계적 문맹을 보다 효과적으로 극복할 수 있는 통계교육의 개선 방향을 통계교육의 내용, 교수학습방법과 교사의 재교육에 대한 방안을 모색하여 보고자하였다.

• International journal of advanced smart convergence
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• 제11권4호
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• pp.141-148
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• 2022

Due to the fast development of information and communication technology, many people are enjoying benefits. However, there are those who do not enjoy the benefits of such information technology due to physical disabilities or economic reasons. This class is classified as an information-vulnerable class with so-called digital divide, and the disabled can be said to be a representative information-vulnerable class. The purpose of the paper is to identify the various causes of digital divide and propose improvement measures for the disabled in Korea. For this purpose, the digital divide data by the national institution over the past four years were analyzed. Through various statistical analysis, it was found that the main cause of the digital divide was insufficient information competency among the three factors diagnosing the digital divide namely, information access, information competency, and information utilization. It was also found that the information utilization activities of the disabled were not productive and consumption-oriented

• 한국수학교육학회지시리즈A:수학교육
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• 제63권2호
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• pp.387-392
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• 2024

The use of artificial intelligence (AI) in mathematics education has advanced as a means for promoting understanding of mathematical concepts, academic achievement, computational thinking, and problem-solving. From a total of 13 studies in this special issue, this editorial reveals threads of potential and future directions to advance mathematics education with the integration of AI. We generated five themes as follows: (1) using ChatGPT for learning mathematical content, (2) automated grading systems, (3) statistical literacy and computational thinking, (4) integration of AI and digital technology into mathematics lessons and resources, and (5) teachers' perceptions of AI education. These themes elaborate on the benefits and opportunities of integrating AI in teaching and learning mathematics. In addition, the themes suggest practical implementations of AI for developing students' computational thinking and teachers' expertise.