• Title/Summary/Keyword: student selection process: educational method

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A STUDY ON THE IMPROVEMENT OF KAO STUDENT SELECTION AND EDUCATIONAL METHOD (한국천문올림피아드 학생선발 및 교육방법 개선을 위한 조사연구)

  • Yim, In Sung;Sung, Hyun-Il;Kim, Yoo Jea
    • Publications of The Korean Astronomical Society
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    • v.27 no.5
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    • pp.431-438
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    • 2012
  • A number of middle and high school students are selected at the Korea Astronomy Olympiad (KAO) in every year. In the first stage of the selection, the resume, school transcript, and recommendation letters from teachers are referred. In the second stage, after video lectures and weekend observation classes, students are tested with on-line homeworks, and interviewed through internet. For 118 students who have gone through the second stage of the 2012 KAO, we have conducted a questionnaire survey, which asks the students the motivation and preparation for the KAO. The survey has also included inquiries for the selection process and education program of the 2012 KAO; the replies will be used as feedbacks for the next year's KAO. The survey has revealed that the first stage worked well, while the second stage needs to be improved in terms of fairness and objectivity. We have found that most students received private tutorings for the KAO, so we suggest efforts should be made for students to be able to prepare the KAO without receiving private tutorings.

Social Perception of the Invention Education Center as seen in Big Data (빅데이터 분석을 통한 발명 교육 센터에 대한 사회적 인식)

  • Lee, Eun-Sang
    • Journal of the Korea Convergence Society
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    • v.13 no.1
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    • pp.71-80
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    • 2022
  • The purpose of this study is to analyze the social perception of invention education center using big data analysis method. For this purpose, data from January 2014 to September 2021 were collected using the Textom website as a keyword searched for 'invention+education+center' in blogs, cafes, and news channels of NAVER and DAUM website. The collected data was refined using the Textom website, and text mining analysis and semantic network analysis were performed by the Textom website, Ucinet 6, and Netdraw programs. The collected data were subjected to a primary and secondary refinement process and 60 keywords were selected based on the word frequency. The selected key words were converted into matrix data and analyzed by semantic network analysis. As a result of text mining analysis, it was confirmed that 'student', 'operation', 'Korea Invention Promotion Association', and 'Korean Intellectual Property Office' were the meaningful keywords. As a result of semantic network analysis, five clusters could be identified: 'educational operation', 'invention contest', 'education process and progress', 'recruitment and support for business', and 'supervision and selection institution'. Through this study, it was possible to confirm various meaningful social perceptions of the general public in relation to invention education center on the internet. The results of this study will be used as basic data that provides meaningful implications for researchers and policy makers studying for invention education.