• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.471-472
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• 2024

본 논문에서는 초등학생을 위한 데이터 분석 대회를 활용한 데이터 분석 프로그램을 개발하였다. 데이터 분석 프로그램은 ADDIE 모형에 개발하였다. 분석 단계에서 G초등학교 학생들의 데이터 분석 도구인 스프레드 시트를 학습한 경험이 적고 배우고자 하는 동기가 없었다. 하지만 교육과정에서 공학도구로 활용하도록 제시되어 있다. 이를 바탕으로 디자인 학생들이 스프레드 시트를 학습할 수 있는 프로그램과 이를 실습할 수 있는 데이터 분석 대회를 디자인 하였다. 개발 단계에서는 LMS를 활용하여 학생들에게 학습을 위한 데이터를 제공하고 학습하며, 데이터 분석 대회에서는 학습한 데이터와 문제만 제공하여 대회에 참여하면서 실습할 수 있는 기회를 제공하였다. 평가 도구로는 데이터 리터러시 평가 도구를 선정하였다.

• Journal of Service Research and Studies
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• v.9 no.3
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• pp.87-99
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• 2019

Healthcare and data science are often linked through finances as the industry attempts to reduce its expenses with the help of large amounts of data. Data science and medicine are rapidly developing, and it is important that they advance together. Data science is a driving force in transition of healthcare systems from treatment-oriented to preventive care in healthcare 3.0 era. It enables customized precision-based medicine that current healthcare systems cannot facilitate, and discovers more cost-effective treatment. Currently, healthcare big data is in the reality of medical institution, public health, medical academia, pharmaceutical sector as well as insurance agency. With this motivation, the medical college of Soonchunhyang university has performed a 'healthcare data science initiative(HDSI)' since 2014. Most of domestic HDSI programs focus on short-term contents such as mentoring and sharing cases for data science. Therefore, it is difficult to provide education tailored to the level of skills and job competency required at the practical site. Soonchunhyang HDSI implemented specialized strategies for improving resilience and response to changes in the IT education of current healthcare with the emphasis on the need for systematic activation of the practical HDSI. The HDSI has been performed as a part of on industry-academic link program in CK-1. Through quantitative and qualitative analysis, this paper discussed the HDSI process, performance, achievement, and implications.

• Journal of the Korean Data and Information Science Society
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• v.13 no.2
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• pp.365-379
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• 2002

We apply the techniques of interpolation and extrapolation to derive a new estimator based on centered modified systematic sampling for the mean of a population which has a linear trend. The efficiency of the proposed estimation method is compared with that of various existing methods. An illustrative numerical example is given.

• Korean Journal of Childcare and Education
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• v.15 no.4
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• pp.59-81
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• 2019

Objective: The purpose of this study was to analyze the influence of early childhood science education instruction through the implementation of science teaching methods and science teaching attitudes of preschool teachers. Methods: This study was conducted on 52 female students in the early childhood education department of Early Childhood Science Education at G university in Gyeongbuk province. The data collected in this study were analyzed through reliability analysis, carbon scanners verification, and homogeneity verification; ANCOVA was used to verify the effectiveness of the program. Results: First, the results showed that the post-test belief of science teaching methods of the experimental group were significantly different than that of the control group. Second, the results showed that the post-test scores of science teaching attitudes of the experimental group were significantly higher than that of the control group. Conclusion/Implications: This study suggests that there were positive influences of early childhood science education instruction through the field practice on the belief of science teaching methods and science teaching attitudes of preschool teachers.

• Journal of Korean Elementary Science Education
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• v.41 no.1
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• pp.93-105
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• 2022

This study investigated the aspects of how three preservice elementary school teachers conducted the data-text transforming discourses in their science simulation teaching and how their epistemological conversations worked for learners' construction of scientific knowledge. Three preservice teachers, who had presented simulation teaching on the seasonal change of constellations, participated in the study. The results revealed that one preservice teacher, who had implemented the transforming discourses of data-to-evidence and model-to-explanation, appeared to facilitate learners' knowledge construction. The other two preservice teachers had difficulty helping learners construct science knowledge due to their lack of transforming discourses. What we should consider for improving preservice elementary school teachers' teaching competencies was discussed based on a detailed comparison of three cases of preservice teachers' data-text transforming.

• Journal of Engineering Education Research
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• v.20 no.6
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• pp.61-67
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• 2017

The purpose of this study is to find out the factors that have an effect on students, especially in the natural science track, would enter the college of Engineering. For this, the data of KEEP was used, and logistic regression was utilized for analyzing this data. The dependent variables are 'Entering the college of engineering' and 'No entering the college of engineering'. The probable independent variables are 'Sex', 'Interest in mathematics', 'mathematics study achievement', 'Interest in Science', 'Science study achievement', 'The area of book that is read', 'The area of club', 'Knowing about working environment and task of the job' and 'Knowing about prospect and wage of the job'. The results are as follows. These are 'Sex', 'Knowing about working environment and task of the job', 'Knowing about prospect and wage of the job' that affect statistically entering the college of engineering. In other words, the male student who know working environment, task, prospect and wage of the job well may enter the college of Engineering.

• Journal of information and communication convergence engineering
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• v.8 no.2
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• pp.191-196
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• 2010

This paper presents automatic generation of robot motion using posture template in physical training system. In this system, we define a human-like generic template with two angles, then, we generate robot motion that has used angle data of the created template. The angle data is transformed automatically to the most similar motion. This is achieved by suitable expressions for robot specification. The expressions intend to differences of angle measurement on X,Y,Z planes and DOF constraint. We choose several postures and create generic templates for chosen postures. Robot motions are also generated from generic templates by expressions.

• Journal of the Korean Data and Information Science Society
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• v.19 no.3
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• pp.801-809
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• 2008

Nowadays almost all universities are endeavoring to improve the quality of education offered. The quality of education that is provided should be measured beforehand. This study examined three methods, SERVQUAL, SERVPERF and Lee and Yun(2004)'s method of measuring service quality: SERVQUAL, SERVPERF are well known and the most commonly used measurement of the quality of education offered and the Lee and Yun(2004)'s method measures service quality using fuzzy numbers. As a result of this research, SERVQUAL was proven to be the most efficient method to measure the quality of education offered. Even though, more actual analysis related to this study should be followed, the research is meaningful in a way that it provided clues and reasons for the study.

• Research in Mathematical Education
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• v.25 no.2
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• pp.135-158
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• 2022

This study aimed to building models to understand the relationships between reasoning resources and content knowledge. We applied Support Vector Machine and linear models to the data including fifth graders' scores in the Cornel Critical Thinking Test and the Iowa Assessments, demographic information, and learning science approach (a student-centered approach to learning called the Science Writing Heuristic [SWH] or traditional). The SWH model showing the relationships between critical thinking domains and academic achievement at grade 5 was developed, and its validity was tested across different learning environments. We also evaluated the stability of the model by applying the SWH models to the data of the grade levels. The findings can help mathematics educators understand how critical thinking and achievement relate to each other. Furthermore, the findings suggested that reasoning in mathematics classrooms can promote performance on standardized tests.

• Journal of Engineering Education Research
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• v.25 no.5
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• pp.68-74
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• 2022

The purpose of this study was to develop an infographic-based STEAM program for high school students and test its effectiveness. In this study, we converged high school 'art' education with 'Korean language' and 'mathematics.' The program was divided into four phases. The effectiveness of the program was analyzed by conducting matched pair t-test for 377 students at a girl's high school in Seoul before and after the program. The study found that the students' self-concept on mathematics and their attitude towards choosing science and engineering career showed significant increases after the program. By connecting high school courses through data visualization based on cognitive information design, findings from this study suggest that our infographic-based STEAM program should be implemented more frequently at high schools.