• Journal of the Korean Society of Safety
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• v.31 no.4
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• pp.120-125
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• 2016

Usually, a risk can be expressed as a product of likelihood and consequence of a hazard factor. Therefore, conventional risk assessment is carried out by frequency analysis and severity analysis, in turns. However, it is well known that intuitive thinking is another excellent way of thinking of human beings. This study aimed to confirm whether there exist any difference in risk assessment results derived by two different procedures - intuitive and analytical. Thus, the present study showed 10 different illustrations to 30 undergraduate students. Their responses were organized as fuzzy membership functions, and summarized as risk assessments, and compared. The results were also verified with the help of statistical hypothesis testing, which showed no significant difference. On the contrary, however, similarity measure used in fuzzy set theory was not credible as anticipated. Many cases failed to satisfy statistical hypothesis even with similarity measure higher than 0.60 so that only a trend could be accepted. In addition, a subject showed a somewhat consistent logical discrepancy in his response, which implied the necessity of sincere analysis in fuzzy formulations.

• Journal of Internet Computing and Services
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• v.19 no.2
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• pp.57-67
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• 2018

The $4^{th}$ industrial revolution has brought innovation in the educational environment. The purpose of this study is to verify the educational effectiveness of smart learning environment especially with the computational thinking. A big data analysis was performed to confirm that computational thinking is the one to prepare the 4th industrial revolution. To teach computational thinking at university, educational design should be careful. This study verified the relationship between improvement of computational thinking ability and major of students with coding education. There was difference in effectiveness of the coding education depending on the major of students, it means students must be guaranteed to be educated by the differentiated coding education for different major. This study extracted factors of computational thinking through literature review. Thirteen research hypotheses were applied for the statistical analysis in R language. It was proved that expectation of class and improvement of abstraction ability and algorithmic thinking ability had mediation effect to the relationship between knowledge acquisition and problem-solving abilities. Based on this study, effectiveness of education can be improved, and it will lead to produce a lot of distinguished students who are ready for the 4th industrial revolution.

• The Journal of the Korea Contents Association
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• v.18 no.12
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• pp.238-250
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• 2018

The 2015 revised curriculum includes 'informatics' course including the process of building software aiming at cultivating creative and convergent ability. This study analyzes the competencies pursued in the revised curriculum and defines computational thinking as the main competency. The subjects of the study were the first grade of a middle school in the first semester of the 2018 school year. Of the 95 collected data, 83 data were used for analysis and the significance was confirmed by the paired t-test. Also, computational concept, computational practice and computational perspectives were confirmed through artifact-based interviews. As a result of statistical analysis, critical thinking, creativity, algorithmic thinking, and problem-solving significantly increased among sub-variables of computational thinking. Statistical results and interview results were analyzed to provide implications for design and implementation of software education in 'informatics' course.

• The Mathematical Education
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• v.56 no.1
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• pp.19-39
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• 2017

Taking samples of data and using samples to make inferences about unknown populations are at the core of statistical investigations. So, an understanding of the nature of sample as statistical thinking is involved in the area of statistical literacy, since the process of a statistical investigation can turn out to be totally useless if we don't appreciate the part sampling plays. However, the conception of sampling is a scheme of interrelated ideas entailing many statistical notions such as repeatability, representativeness, randomness, variability, and distribution. This complexity makes many people, teachers as well as students, reason about statistical inference relying on their incorrect intuitions without understanding sample comprehensively. Some research investigated how the concept of a sample is understood by not only students but also teachers or preservice teachers, but we want to identify preservice secondary mathematics teachers' understanding of sample as the statistical literacy by a qualitative analysis. We designed four items which asked preservice teachers to write their understanding for sampling tasks including representativeness and variability. Then, we categorized the similar responses and compared these categories with Watson's statistical literacy hierarchy. As a result, many preservice teachers turned out to be lie in the low level of statistical literacy as they ignore contexts and critical thinking, expecially about sampling variability rather than sample representativeness. Moreover, the experience of taking statistics courses in university did not seem to make a contribution to development of their statistical literacy. These findings should be considered when design preservice teacher education program to promote statistics education.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.19 no.1
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• pp.46-56
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• 2012

Purpose: The purpose of this study was to identify the relationships among professional self-concept, critical thinking disposition and clinical competence in nursing students. Method: The participants in the study were 505 nursing students, 262 associate degree nursing students and 243 baccalaureate nursing students, all in schools in Gwangju or South Jeonla Province. A questionnaire survey was conducted from April 25 to May 27, 2011. Statistical processing was performed with SPSS 18.0 Version and the data were analyzed using t-test, ANOVA, Scheff$\acute{e}$ test, Pearson correlation coefficients, and multiple stepwise regression. Results: There was a positive correlation among clinical competence and professional self-concept, critical thinking disposition. The most effective factor for clinical competence was professional practice in professional self-concept, followed by prudence and objectivity in critical thinking disposition. The total explanation of clinical competence was 46.2%. Conclusion: The results of this study indicate confirm that professional self-concept and critical thinking disposition have an effect on clinical competence in nursing students. Accordingly in order to improve clinical competence, it is necessary to provide practice environment and educational curriculum that enhance the professional self-concept and critical thinking disposition of nursing students.

• Journal of the Korean Society of Earth Science Education
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• v.4 no.2
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• pp.102-107
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• 2011

In this study, elementary school science program, this category did not affect any troubleshooting analyzed. Thinking Science Program to buy for them in group activities by using one of the elements of a program of treatment and cognitive level effects were two kinds of research questions. 102, 5th grade four classes were involved, these two classes of the experimental group and the remaining two classes were divided into a control group. Pre-test between the two groups is compared to the level and classification problem-solving skills but the skills did not show a statistically significant difference. Thinking Science activity after application of classification and posttest the experimental group than in the control group problem solving abilities of students classified at the level of statistical significance was higher. Thinking Science program is a treatment effect for each level of analysis, tests, regardless of cognitive level was more effective. Through theses findings, Thinking Science activities 5th grade category classification problem-solving skills of students found to be effective in improving and these types of programs actively introduced in the field suggests that we need to see.

• The Korean Journal of Health Service Management
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• v.9 no.1
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• pp.67-79
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• 2015

The aim of this descriptive cross-sectional study was determine the effect of critical thinking and clinical decision-making on ethical dilemmas. A survey of dental hygienists residing in Busan and South Gyeongsang, Korea was conducted using convenience sampling between September and December, 2013. A total of 153 responses were used in the final analysis. Data analysis and structural equation modeling were performed with IBM SPSS Statistics(version 21.0) and AMOS(version 18.0) programs. A negative(-) correlation coefficient(-0.37) was observed between critical thinking and ethical dilemmas on statistical analysis, i.e., higher critical thinking led to less ethical dilemmas(p=0.024, CR=-2.264). The values from the structural equation model were ${\chi}^2=98.124$ df=66, GFI=0.919, AGFI=0.871, and RMSEA=0.057. This study proposed a theoretical model in which critical thinking, ethical values, and decision-making skills should be firmly established to effectively respond to specific situations, such as ethical dilemmas, and that greater tendencies for critical thinking led to less ethical dilemmas, thereby demonstrating a negative(-) correlation between the two parameters.

• Korean Journal of Childcare and Education
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• v.20 no.1
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• pp.1-19
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• 2024

Objective: The purpose of this study was to verify the mediating effect of reflective thinking in the relationship between early childhood teachers' play-based curriculum implementation competences and their digital competences. Methods: An online survey was conducted targeting 330 early childhood teachers. Descriptive statistical analysis, correlation analysis, and The Process macro model 4 were performed using SPSS 28.0 and The Process macro 4.1. Results: The main results of this study are outlined as follows: first, a significant positive correlation was observed between overall play-based curriculum implementation competences, reflective thinking, and digital competences, including each of their respective sub-factors. Second, the study revealed that reflective thinking played a partial mediating role in the relationship between early childhood teachers' play-based curriculum implementation competences and digital competences. Conclusion/Implications: Through this study, it was confirmed that when reflective thinking mediated play-based curriculum implementation competences, digital competences were further increased. The findings suggest that not only positive play-based curriculum implementation competences of teachers but also reflective thinking should be considered to enhance digital competences.

• School Mathematics
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• v.9 no.1
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• pp.29-44
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• 2007

The aim of statistics education is to enhance statistical thinking. Variability is the key components of statistical thinking. The research has been reviewed preceding research about variability of data. Proceeding from what has been considered above, this research developed learning materials that investigated the concept of variability as it relates to Freudenthal's context by having students sort a particular context. The research is executed the case study evidently aimed at Junior High School 3rd Grade Student's Understanding of Variability. The study of variability in data can be an important start to reach a testing of statistical hypothesis; students reduce data and draw graphs by relating probability distribution to relative frequency and normal distribution. Thus, this study offers basic materials into developing both contents and methods of education need to consider with this sense of purpose held by students to achieve this goal.

• Journal of Educational Research in Mathematics
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• v.22 no.2
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• pp.137-162
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• 2012

Learning graphical representations for statistical data requires understanding of the context related to measurement in statistical investigation since the choice of representation and the features of the selected graph to represent the data are determined by the purpose and context of data collection and the types of the data collected. This study investigated whether middle school students can think critically about measurement and scales integrating contextual knowledge and statistical knowledge. According to our results, the students lacked critical thinking related to measurement process of data and scales of graphical representations. In particular, the students had a tendency not to question upon information provided from data and graphs. They also lacked competence to critique data and graphs and to make a flexible judgement in light of context including statistical purpose.