• 제목/요약/키워드: School Change

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고등학생들의 극지 소양 평가 결과 분석 및 극지 교육에의 시사점 (Analysis of High School Students' Polar Literacy and Its Implications for Polar Education)

  • 정수임;최하늘;김민지;신동희
    • 한국지구과학회지
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    • 제43권3호
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    • pp.446-463
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    • 2022
  • 이 연구는 전 지구적 환경 변화에 대응하려는 인류 공동의 노력에 발맞추어 과학교육 측면에서 기후 변화를 설명하는 효과적 개념 체계로서 극지 소양 교육의 필요성을 제안한다. 이를 위해 현재 고등학생들의 극지 소양 현황을 양적 검사와 질적 면담을 통해 조사하고 시사점을 논의했다. 연구에 참여한 대상은 2개 고등학교 2학년 학생 329명으로 극지 소양 원리를 참조해 개발한 진위형 25문항으로 이루어진 검사에 참여했고, 이들 중 13명이 면담에 참여했다. 연구 결과, 극지 소양 원리의 일부 영역에서 다소 미흡한 이해와 함께 개념적 공백이 나타났다. 극지의 지리적 특징에 대한 지식이 견고하지 못하고, 빙권의 구성 요소와 주요 특성을 거의 알지 못했다. 이러한 개념의 결손으로 극지 변화와 전 지구적 기후 변화의 작동 기작을 잘 연결하지 못했다. 학교 교육과정에서 충족되지 못한 개념을 학교 밖 매체로 부터 비판 없이 수용하면서 기후 변화의 기작을 다소 단조롭거나 왜곡되게 인식했다. 한편, 극지와 기후 변화에 대한 모호한 이해와 함께 이를 보완하기 위한 인지 전략으로 언어 정보, 비유, 시각적 관찰 등을 활용했다. 이상의 연구 결과를 바탕으로 학교 과학 교육과정에 기후 변화를 체계적, 종합적으로 이해할 수 있는 새로운 지식 체계로서 극지 소양 교육을 도입할 것을 주장했다. 이밖에도 타교과의 극지 소양 관련 지식의 일관성 검토, 기후 변화를 다루는 학교 밖 매체 정보에 대한 비판적 기준 제공, 학생들의 오개념 점검 및 사고 전략 파악 등을 시사점으로 제시했다.

뇌혈관 장애환자의 불면증에 대한 산조인탕의 치료효과에 대한 임상연구 (Clinical Study of Sanjoin- Tang on Insomnia Patients with Cerebrovascular Accident)

  • 홍현우;이성도;감철우;박동일
    • 동의생리병리학회지
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    • 제18권6호
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    • pp.1927-1932
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    • 2004
  • This research study has been conducted to identify and evaluate the effectiveness of Sanjoin-Tang(酸棗仁湯) for insomnia relief. The clinical testing of Sanjoin-Tang(酸棗仁湯) was carried out at Oriental Medical Center of Dong-Eui University with the participation of 30 patients. The results of Sanjoin-Tang(酸棗仁湯) treatments show as follows: Change of total amount of sleep showed 1.75±2.23 hours of increase.(p-value=0.001, respectively) Change of average delaying bedtime before and after the treatment showed 1.57±2.50 hours of decrease.(p-value=0.001, respectively) Change of average bedtime arousal before and after the treatment showed 0.96±1.46 times of decrease. (p-value=0.004, respectively) Change of sleep quality after the treatment has improved. According to statistical results, Sanjoin-Tang(酸棗仁湯) has proven effective for reducing sleep disorders, and this, restoring normal sleep patterns.

Using education on irradiated foods to change behavior of Korean elementary, middle, and high school students

  • Han, Eunok;Kim, Jaerok;Choi, Yoonseok
    • Nutrition Research and Practice
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    • 제8권5호
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    • pp.595-601
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    • 2014
  • BACKGROUND/OBJECTIVES: Educational interventions targeted food selection perception, knowledge, attitude, and behavior. Education regarding irradiated food was intended to change food selection behavior specific to it. SUBJECTS AND METHODS: There were 43 elementary students (35.0%), 45 middle school students (36.6%), and 35 high school students (28.5%). The first step was research design. Educational targets were selected and informed consent was obtained in step two. An initial survey was conducted as step three. Step four was a 45 minute-long theoretical educational intervention. Step five concluded with a survey and experiment on food selection behavior. RESULTS: As a result of conducting a 45 minute-long education on the principles, actual state of usage, and pros and cons of irradiated food for elementary, middle, and high-school students in Korea, perception, knowledge, attitude, and behavior regarding the irradiated food was significantly higher after the education than before the education (P < 0.000). CONCLUSIONS: The behavior of irradiated food selection shows high correlation with all variables of perception, knowledge, and attitude, and it is necessary to provide information of each level of change in perception, knowledge, and attitude in order to derive proper behavior change, which is the ultimate goal of the education.

국가 생태정보를 활용한 생물다양성 지도 구축 (Mapping for Biodiversity Using National Forest Inventory Data and GIS)

  • 정다정;강경호;허준;김창재;김성호;이정빈
    • 환경영향평가
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    • 제19권6호
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    • pp.573-581
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    • 2010
  • Natural ecosystem is an essential part to connect with the plan for biodiversity conservation in response strategy against climate change. For connecting biodiversity conservation with climate change strategy, Europe, America, Japan, and China are making an effort to discuss protection necessity through national biodiversity valuation but precedent studies lack in Korea. In this study, we made biodiversity maps representing biodiversity distribution range using species richness in National Forest Inventory (NFI) and Forest Description data. Using regression tree algorithm, we divided various classes by decision rule and constructed biodiversity maps, which has accuracy level of over 70%. Therefore, the biodiversity maps produced in this study can be used as base information for decision makers and plan for conservation of biodiversity & continuous management. Furthermore, this study can suggest a strategy for increasing efficiency of forest information in national level.

Perceived Working Conditions and Sickness Absence - A Four-year Follow-up in the Food Industry

  • Siukola, Anna E.;Virtanen, Pekka J.;Luukkaala, Tiina H.;Nygard, Clas-Hakan
    • Safety and Health at Work
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    • 제2권4호
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    • pp.313-320
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    • 2011
  • Objectives: To analyze the association between changes in perceived physical and psychosocial working conditions and change of sickness absence days in younger and older (< 50 and ${\geq}50$ years) food industry employees. Methods: This was a follow up study of 679 employees, who completed working conditions survey questionnaires in 2005 and 2009 and for whom the requisite sickness absence data were available for the years 2004 and 2008. Results: Sickness absence increased and working conditions improved during follow-up. However, the change of increased sickness absence days were associated with the change of increased poor working postures and the change of deteriorated team spirit and reactivity (especially among < 50 years). No other changes in working conditions were associated with the changes in sickness absence. Conclusion: Sickness absence is affected by many factors other than working conditions. Nevertheless, according to this study improving team spirit and reactivity and preventing poor working postures are important in decreasing sickness absence.

협력적 과학논의활동에서의 초등학교 학생들의 상호작용과 개념변화 (Elementary School Students' Interaction and Conceptual Change in Collaborative Scientific Argumentation)

  • 이미선;김효남;양일호
    • 한국초등과학교육학회지:초등과학교육
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    • 제38권2호
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    • pp.216-233
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    • 2019
  • The purpose of this study was to identify the aspects of elementary school students' interactions shown conceptual changes in collaborative scientific argumentation. Fifty sixth graders of an elementary school in Jeonju were selected for this study. Ten small groups consisting of five students each were organized evenly with considerations of their gender, science achievement, scientific discussion experience and degree of communication apprehension. 'Food web and Ecosystem' and 'Change of Moon shape' were selected as the proper topics of collaborative scientific argumentation in terms of difficulty to be understanded by the $6^{th}$ graders. The small group's dialogue was recorded. The students' activity sheets, field note and interviews of the participants were collected. Based on the collected data, we analyzed the aspect of small groups' interaction shown conceptual change of each student. The result of this study was as follows: The interaction aspects of the small group of students who showed conceptual changes in the collaborative scientific discussion have a tendency of showing their discussion responses, explanation-opposition discourse, the use of rigorous criteria, their collaborative attitude and participation.

Neural Network Modeling supported by Change-Point Detection for the Prediction of the U.S. Treasury Securities

  • Oh, Kyong-Joo;Ingoo Han
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회 2000년도 추계학술대회 및 정기총회
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    • pp.37-39
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    • 2000
  • The purpose of this paper is to present a neural network model based on change-point detection for the prediction of the U.S. Treasury Securities. Interest rates have been studied by a number of researchers since they strongly affect other economic and financial parameters. Contrary to other chaotic financial data, the movement of interest rates has a series of change points due to the monetary policy of the U.S. government. The basic concept of this proposed model is to obtain intervals divided by change points, to identify them as change-point groups, and to use them in interest rates forecasting. The proposed model consists of three stages. The first stage is to detect successive change points in the interest rates dataset. The second stage is to forecast the change-point group with the backpropagation neural network (BPN). The final stage is to forecast the output with BPN. This study then examines the predictability of the integrated neural network model for interest rates forecasting using change-point detection.

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An Integrated Approach Using Change-Point Detection and Artificial neural Networks for Interest Rates Forecasting

  • Oh, Kyong-Joo;Ingoo Han
    • 한국지능정보시스템학회:학술대회논문집
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    • 한국지능정보시스템학회 2000년도 춘계정기학술대회 e-Business를 위한 지능형 정보기술 / 한국지능정보시스템학회
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    • pp.235-241
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    • 2000
  • This article suggests integrated neural network models for the interest rate forecasting using change point detection. The basic concept of proposed model is to obtain intervals divided by change point, to identify them as change-point groups, and to involve them in interest rate forecasting. the proposed models consist of three stages. The first stage is to detect successive change points in interest rate dataset. The second stage is to forecast change-point group with data mining classifiers. The final stage is to forecast the desired output with BPN. Based on this structure, we propose three integrated neural network models in terms of data mining classifier: (1) multivariate discriminant analysis (MDA)-supported neural network model, (2) case based reasoning (CBR)-supported neural network model and (3) backpropagation neural networks (BPN)-supported neural network model. Subsequently, we compare these models with a neural networks (BPN)-supported neural network model. Subsequently, we compare these models with a neural network model alone and, in addition, determine which of three classifiers (MDA, CBR and BPN) can perform better. This article is then to examine the predictability of integrated neural network models for interest rate forecasting using change-point detection.

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The Effects of Cognitive Conflict on Students' Conceptual Change in Physics

  • Lee, Young-Jick;Kwon, Jae-Sool
    • 한국과학교육학회지
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    • 제22권5호
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    • pp.923-943
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    • 2002
  • The purpose of this study was to investigate the relation between the levels of cognitive conflict and students' conceptual change. In this study, 30 Korean high school students were selected from 450 10th graders by examining the pretest results. Two different strategies were used to induce cognitive conflicts in students, an anomalous or conflict situations; demonstrations and logical arguments against students' preconception. After arousing the students' cognitive conflict, the level of cognitive conflict was rated. Pretest, post-test and delayed post-test were administered to check the conceptual change. The tests consisted of 5 items in mechanics and electricity, respectively. Therefore, the demonstration method showed effective conceptual change, more than the logical argument method did. Students changed their conceptions more easily and frequently in the area of mechanics than in electricity. Students who showed higher levels of cognitive conflict indicated more positive conceptual change than those who showed lower conflict levels. 59 cases (56%) out of 105 who experienced high levels of cognitive conflict were changed into scientific conceptions one month later; however only 16 cases (35%) out of 46 who experienced low levels of cognitive conflict changed into scientific conceptions. Students who experienced higher levels of cognitive conflict showed higher rates of conceptual change. It could be concluded that designing instruction to induce cognitive conflict is a useful strategy to promote conceptual change.

기후변화에 대한 산업부문 취약 핫스팟 지역 분석 -적응 및 완화 측면에서- (Vulnerable Homogeneous Hotspot Areas of the Industrial Sector for the Climate Change - Focused on Mitigation and Adaptation Perspective -)

  • 윤은주;이동근;김호걸;최광림
    • 한국기후변화학회지
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    • 제7권1호
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    • pp.69-75
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    • 2016
  • Recently, many countries all over the world have been suffered from disaster caused by climate change. Especially in case of developed countries, the disaster is concentrated in the industry sector. In this research, we analyzed industrial vulnerable homogeneous hotspot for the climate change using spatial autocorrelation analysis on the south Korea. Homogeneous hot spot areas through autocorrelation analysis indicate the spatial pattern of areas interacted each other. Industry sector have responsibility of green house gas emissions, and should adapt to the climate change caused by greenhouse gas already released. So, we integrated the areas sensitive to mitigation option with the areas hardly adapt to climate change because of vulnerable infrastructure. We expected that the result of this research could contribute to the decision-making system of climate change polices.