• 제목/요약/키워드: analysis education

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공학교육 빅 데이터 분석 도구 개발 연구 (Research on the Development of Big Data Analysis Tools for Engineering Education)

  • 김윤영;김재희
    • 공학교육연구
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    • 제26권4호
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    • pp.22-35
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    • 2023
  • As information and communication technology has developed remarkably, it has become possible to analyze various types of large-volume data generated at a speed close to real time, and based on this, reliable value creation has become possible. Such big data analysis is becoming an important means of supporting decision-making based on scientific figures. The purpose of this study is to develop a big data analysis tool that can analyze large amounts of data generated through engineering education. The tasks of this study are as follows. First, a database is designed to store the information of entries in the National Creative Capstone Design Contest. Second, the pre-processing process is checked for analysis with big data analysis tools. Finally, analyze the data using the developed big data analysis tool. In this study, 1,784 works submitted to the National Creative Comprehensive Design Contest from 2014 to 2019 were analyzed. As a result of selecting the top 10 words through topic analysis, 'robot' ranked first from 2014 to 2019, and energy, drones, ultrasound, solar energy, and IoT appeared with high frequency. This result seems to reflect the current core topics and technology trends of the 4th Industrial Revolution. In addition, it seems that due to the nature of the Capstone Design Contest, students majoring in electrical/electronic, computer/information and communication engineering, mechanical engineering, and chemical/new materials engineering who can submit complete products for problem solving were selected. The significance of this study is that the results of this study can be used in the field of engineering education as basic data for the development of educational contents and teaching methods that reflect industry and technology trends. Furthermore, it is expected that the results of big data analysis related to engineering education can be used as a means of preparing preemptive countermeasures in establishing education policies that reflect social changes.

독일 바이에른 주의 정보 교육과정 분석 (Analysis of Informatics Curriculum in Germany(Bayern))

  • 최희정;이원규;김자미
    • 컴퓨터교육학회논문지
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    • 제22권1호
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    • pp.1-10
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    • 2019
  • 제 4차 산업혁명 시대의 도래로 세계 각국은 변화하는 사회에 대처하기 위해 정보교육을 강화하고 있다. 본 연구는 독일의 정보 교육과정 분석을 통해 독일의 정보교육 동향을 파악하여, 한국의 정보교육과의 차이를 비교하였다. 독일의 정보교육 분석은 독일 교육의 중심이라 할 수 있는 바이에른 주의 정보교육 내용과 변화를 중심으로 하였다. 분석 결과, 첫째, 초등교육에서는 '정보'를 통합교과적 측면에서 접근하고 있으며, 활용 중심의 교육이었다. 둘째, 중등교육에서 충분한 이수시간 확보를 통해 이론과 실습을 경험할 수 있는 교육을 진행하고 있었다. 셋째, 정보교과를 입시에 반영하여, 고등교육과의 연계를 충분히 반영하였다. 분석을 토대로, 체계적인 정보교육을 위해서는 초등교육부터 많은 시수를 확보할 필요가 있으며, 중등교육과 고등교육의 연계를 고려해야 함을 확인하였다.

공학계열 대학생들의 공학소양교육 요구분석 (The Needs Analysis of the General Eduction in Engineering Education for Undergraduate Students at Engineering Related Departments)

  • 정은정
    • 공학교육연구
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    • 제18권5호
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    • pp.22-31
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    • 2015
  • The purpose of this study is to suggest the general education contents for undergraduate students at engineering related departments through need analysis in order to develop creative and integral talents. For this study, the need analysis was conducted by using focus group interviews, Borich's educational need equation and the Locus for Focus Model, and highly ranked priorities on both methods proposed as the highest priorities. As a result, 'drawing up a letter of self-introduction and a portfolio', 'understanding fields', 'understanding careers related to the major', 'presentation skills', 'knowledge for certificated exams', 'method to deduct creative ideas' were high on the list of top five priorities. The selected items by Locus for Focus Model show that undergraduate students at engineering related departments need general education contents associated with career development and communication by priority.

A Meta-Analysis on the Effects of Educational Programming Language on High-level Thinking

  • Kim, Dong-Man;Lee, Tae-Wuk
    • 한국컴퓨터정보학회논문지
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    • 제23권6호
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    • pp.81-89
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    • 2018
  • In this paper, we propose to investigate the existing EPL education related studies and to collect the total effect size for the improvement of high-level thinking through meta-analysis and to confirm the effect size according to various variables. So, we have objectively identified and generalized the practical effects of EPL education on the various elements of high-level thinking and high-level thinking. The results of the meta-analysis showed that 1) EPL is a teaching-learning tool that greatly improves students' high-level thinking. 2) Education based EPL has greatly contributed to the enhancement of creative thinking and logical thinking among high-level thinking. 3) Kodu, App Inventor, Scratch, and Dolittle was confirmed that the effect on the improvement of high-level thinking was great.

The Needs Analysis of Software Safety Education Program for Common Competency Area

  • Kang, Ji-Woon;Do, Sung-Ryong
    • Journal of Information Processing Systems
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    • 제17권5호
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    • pp.960-971
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    • 2021
  • As the era of the 4th Industrial Revolution enters, the importance of software safety is increasing, but related systematic educational curriculum and trained professional engineers are insufficient. The purpose of this research is to propose the high priority elements for the software safety education program through needs analysis. For this purpose, 74 candidate elements of software safety education program were derived through contents analysis of literature and nominal group technique (NGT) process with five software safety professionals from various industries in South Korea. Targeting potential education participants including industrial workers and students, an on-line survey was conducted to measure the current and required level of each element. Using descriptive statistics, t-test, Borich needs assessment and Locus for focus model, 16 high priority elements were derived for software safety education program. Based on the results, suggestions were made to develop a more effective education program for software safety education.

유아 배려교육에 관한 연구동향 분석 - 2006년~2018년 국내 연구를 중심으로 - (Analysis on the Research Trend of Child Care Education - Based on Domestic Research from 2006 to 2018 -)

  • 문연심;박영숙
    • 한국보육지원학회지
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    • 제14권6호
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    • pp.219-239
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    • 2018
  • Objective: This study aims to analyze the research trend of domestic child care education, and to seek directions for future research related to child care education based on analysis results. Methods: A total of 91 theses were selected in journals released in Korea from January 2006 to August 2018. The analysis standards for the research trend were established as research period, theme, target and method. Results: First, the amount of research on child care education has gradually increased since 2006. Second, action research for improvement was the most common research theme for child care education, while activities utilizing fairy tales and picture books were the most frequently used education activities. Third, research that targeted five-year-olds accounted for the largest part of research. Fourth, when it came to research type, most research was based on quantitative research. Conclusion/Implications: Based on the analysis results above, the direction for the development of future child care education and relevant research was discussed.

비전공자를 위한 AI기초통계 교육의 고찰 (A Study on AI basic statistics Education for Non-majors)

  • 유진아
    • 통합자연과학논문집
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    • 제14권4호
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    • pp.176-182
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    • 2021
  • We live in the age of artificial intelligence, and big data and artificial intelligence education are no longer just for majors, but are required to be able to handle non-majors as well. Software and artificial intelligence education for non-majors is not just a general education, it creates talents who can understand and utilize them, and the quality of education is increasingly important. Through such education, we can nurture creative talents who can create and use new values by fusion with various fields of computing technology. Since 2015, many universities have been implementing software-oriented colleges and AI-oriented colleges to foster software-oriented human resources. However, it is not easy to provide AI basic statistics education of big data analysis deception to non-majors. Therefore, we would like to present a big data education model for non-majors in big data analysis so that big data analysis can be directly applied.

국내 초등환경교육 연구 동향 분석 (The Analysis on Domestic Research Trends about Elementary School Environmental Education)

  • 권난주;안재홍;정철
    • 한국환경교육학회지:환경교육
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    • 제25권1호
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    • pp.1-14
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    • 2012
  • The purpose of this study is to investigate research trends about elementary environmental education through the analysis of theses published from January, 1991 to June, 2011 in the scientific journals. For the analysis of theses, we set standards of analysis including the number of theses, research topics, research methods, the designs of study and the objects of study. The number of theses used for the analysis was 186 volumes by limiting as Journal of KOSEE (The Korean Society for Environmental Education), Journal of KASE (The Korean Association for Science Education) and Journal of KESES (The Korean Society of Elementary Science Education). The results of study are as follows. First, in the analysis of theses according to the published year, we discovered that the volumes of theses related elementary environmental education were more than 50% of theses published in the Journal of KOSEE since mid-2000s. Second, the theses about environmental education curriculum were most common topic in the research topics, and the next things were status and actual condition, environmental perspective, and theory and policy. Third, as the most common things in research methods and the designs of study, 38.6% of theses have focused on the 'development and application' as research methods and 50.5% of theses have used 'quantitative research' as the designs of study. Fourth, the most common study in the theses was to target elementary school students, then it was literatures, then teachers, and environmental facility. On the basis of the results of this research, we suggest that various studies and environmental education programs can develop student's right environmental perspective and teacher's recognition about environmental education must be presented.

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중학생의 진로성숙도와 성취 목표, 학습 태도 및 학업성취도 실증적 고찰 : 교과연계 진로교육 경험을 중심으로 (An Empirical Study on Career Maturity, Achievement Goal, Learning Attitude and Academic Achievement of Middle School Students : Focused on Subjects-Related Career Education)

  • 함승연
    • 수산해양교육연구
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    • 제24권5호
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    • pp.616-626
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    • 2012
  • The purpose of this study is to verify career maturity, achievement goal, learning attitude and academic achievement relation with subjects-related career education of middle school students. To achieve these aims, this study used SELS(Seoul education longitudinal study) of Seoul Education Research & Information Institute. Also, analysis as well as descriptive statistics calculation on average, deviation, skewness and kurtosis of variable factor and calculated characteristic item and degree of reliability(Cronbach ${\alpha}$). For goodness of fit test, this study used TLI(Tucker-Lewis index) and RMSEA(Root mean square error of approximation). To achieve the ultimate objects, this study used LMA(latent mean analysis) for analysis of difference career maturity, achievement goal, learning attitude and academic achievement relation with subjects-related career education in middle school students. The results are as follows. First, experience relation with subjects-related career education were influenced on career maturity with career cognition. Second, experience relation with subjects-related career education were influenced on achievement goal, learning attitude, and larger than career maturity and academic achievement. Third, experience relation with subjects-related career education were influenced on middle school students more than inexperienced relation with subjects-related career education.

텍스트마이닝 분석을 활용한 SNS 데이터 기반의 정보교육의 동향 분석 연구 (A Trend Analysis of Computer Education based on SNS Data through Data Mining Analysis)

  • 김갑수;전석주;구덕회;신승기
    • 정보교육학회논문지
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    • 제25권2호
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    • pp.289-300
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    • 2021
  • 본 연구에서는 SNS 데이터를 수집하고 토픽모델링기법으로 분석하여 SW교육과 AI교육에 대한 키워드와 토픽을 도출하여 시사점을 살펴보고자 하였다. SNS 데이터 분석을 통해 SW교육에 대해서 인재양성 및 전국민 SW교육에 대한 내용과 학교현장에서의 수업설계 및 교수학습방법에 대한 내용이 관심이 높음을 살펴볼 수 있었다. 초등학교에서부터 별도의 교과를 통해 SW교육이 실시되어야 하며, 이는 AI교육에 대한 분석결과에서 정보교과를 토대로 위계를 고려한 교과편성 및 운영이 필요하다는 의견과 일치되었다. AI교육은 새롭게 도입되는 영역으로 현장학교의 지원이 필요하다는 의견이 있었으며, AI인재양성을 위해 대학교육에서도 추진되어야 함을 살펴볼 수 있었다. SNS 데이터 분석을 통해 살펴볼 수 있는 SW교육과 AI교육에 대한 동향은 결국 정보교육의 내실있는 운영과 교육과정 편성으로 귀결된다고 할 수 있으며 이는 국가수준교육과정 편성에 대한 시사점을 내포한다고 할 수 있다.