• 제목/요약/키워드: class model

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보편적 학습 설계를 적용한 과학 수업의 학습 성과에 관한 구조적 관계 분석 (Analysis of the Structural Relationship among Learning Outcomes in Science Classes applying Universal Design for Learning)

  • 이경란;백남권;박종호
    • 한국초등과학교육학회지:초등과학교육
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    • 제34권1호
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    • pp.1-14
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    • 2015
  • The variety of learners include students with disabilities and general students, and an ongoing focus of inclusive education research is non-discrimination. As part of integrated education, UDL (Universal Design for Learning) for students with disabilities supports a practical approach, participation, and advancement to improve learning opportunities for all students. The purpose of this study was to examine the effects of using UDL in science classes. The dependent variables of this study were academic achievement in science, scientific attitude, and scientific motivation. In this study, the experimental groups were 9 people in the 5th grade and 11 people in 6th grade. The experimental groups were taught science class using UDL. In order to analyze the learning outcomes, the structure equation model was performed. The results of this study were as follows: First, the science achievement of learning outcomes of the science class applying UDL directly affected both scientific attitude and scientific motivation. Second, the scientific attitude of learning outcomes of the science class applying UDL directly did not affect scientific motivation. According to these results, learning outcomes for science achievement of the science class applying UDL showed that UDL affected both general students and students with disabilities. To summarize the analysis of learning outcomes, science achievement directly affected both scientific attitude and scientific motivation while scientific attitude did not affect scientific motivation. This study offered a specific implementation method for integrated education. Using the structure equation model for analyzing the effect has more significance.

충남지역(忠南地域) 소작농가(小作農家)의 계급적(階級的) 성격(性格)에 관(關)한 연구(硏究) (A Study on the Class Characteristics of Tenants in Chungnam Province)

  • 김재홍
    • 농업과학연구
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    • 제14권2호
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    • pp.384-395
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    • 1987
  • This paper aims to identify the class characteristics of tenants. To this end Patnaik's model is selected, because this model is most reasonable for sorting class structures of tenants. In his Model, "labor-exploitation criterion" is the main criterion for identifying class status. According to this criterion, there are five rural classes i.e. landlord, rich peasant, middle peasant, poor peasant, and full-time laborer. "Net labor ratio" is used for this purpose as empirical data handling. Net labor ratio is a ratio of net labor hired in to family labor, if hired in labor is more then this ratio is positive, and if hired out labor is more then the ratio is negative. Hired in and hired out labor includes not only direct labor but indirect labor such as labor employment or sales through rent. The results of this study are summarized as First, almost all tenants and owner cultivators are of the middle peasant class. Second, there are no rich peasant among the tenants, but 5% of owner cultivators are rich peasants, and 10% of tenants are poor peasants, owner cultivators are 1%. Third, the net: labor ratio of tenants is -0.211, and that of owners is 0.143. There are differences between tenants and owner cultivators even if land is much the same, and owner cultivators net labor ratio is positive except in the land size of 0.3-0.5ha, but that of the tenants' is negative. Fourth, proto-labor poor peasants earned 25% of income from labor, compared with under 10% of proto-tenant poor passant's. Rent to income ratio is almost 60% of proto-tenant, 27% of proto-labor among poor peasants.

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종과 비오톱 보전을 위한 가치평가 모형 개발 및 적용 (Development and Application of an Evaluation Model for Biotope Appraisal in terms of Species and Biotope Preservation)

  • 조현주;이현택;사공정희;나정화
    • 한국환경복원기술학회지
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    • 제13권5호
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    • pp.59-80
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    • 2010
  • This research This research aims at developing systemic evaluation model in terms of biotope preservation through reports, literatures, and expert survey analysis by implementing biotope structure analysis in area level with selecting Hyunpoong and Yuga-myeon, Dalseong county, Daegu metropolitan city as a site. First of all, as a result of biotope type classification of research site, biotope type groups are classified into total 13, and its biotope types are divided into total 61. Also, as a result of literature analysis, total 18 items are drawn such as diversity of biotope typical species as a index item to assess the preservation value of biotope, and the first evaluation index are divided into 10 and the second ones are divided into 8 according to characteristic of index items. As a result of expert survey analysis, All 10 index items, first evaluation index, show high importance average (above 4.7). As a result of implementation of main cause for categorizing evaluation index by characteristic, there are 3 factors such as 'obstructive factor.' Based on above survey analysis result, as a result of estimating the weight of each item, 'restoration factor' showed the highest, 3.4541, but 'factor of habitat stability' showed 3.1468, which is the lowest The systemic value evaluation was set by comprehensively analyzing these results. As a result of biotope preservation value evaluation through applying research site, total 19 types which are abundant in vegetation are classified into I class, 12 types in II class, 5 types in III class, 10 types in IV class, and 15 types in V class respectively. Lastly, as a result of second evaluation, it is analyzed that there are 17 special meaningful space to preserve species and biotope(1a, 1b) and 61 meaningful space to preserve species (2a, 2b, 2c).

주얼리 디자인 전공자의 공간지각능력 향상을 위한 기초조형 수업 방법 (Basic Modeling Class Method to Improve the Spatial Perception Ability for Jewelry Design Majors)

  • 장진희
    • 한국융합학회논문지
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    • 제12권10호
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    • pp.249-254
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    • 2021
  • 본 논문은 주얼리 디자인 전공자에게 요구되는 기본소양인 기초조형의 공간지각 능력과 주얼리 디자인에 있어 가장 중요한 투시도법을 함께 활용하여 조형능력을 창의적으로 발휘 할 수 있는 수업 모형에 대해 연구한 논문이다. 이를 위해 연구자는 학생들에게 공간감을 나타낼 수 있는 방법에 대해 이론적으로 설명하고 기본도형과 입체도형, 투시도법에 대한 실기 수업을 진행한 후 창의적 활동을 위한 주제를 제시하고 결과물을 얻었다. 기존의 기초조형 수업에서 단순히 실기위주의 수업만 진행했다면 본 연구를 통해 학생들에게 안에서 창의력을 발휘하기 위한 분석과 기초투시도법, 공간감을 함께 융합적으로 활용할 수 있는 수업모형을 제시함으로 집중교육효과와 명확한 평가기준을 통해 학생과 교수 모두가 공감할 수 있는 평가방법을 알 수 있는 계기가 되었다. 본 논문을 계기로 더 다양한 재료와 융합적 수업모형에 대한 연구가 계속되기를 바란다.

학교 내 안전체험교실의 시설모형 개발 연구 (A Study on the Development of Facility Model for Safety Training Class in School)

  • 박성철;안유정;송병준;조진일
    • 교육녹색환경연구
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    • 제16권2호
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    • pp.19-33
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    • 2017
  • 본 연구는 교육부, 학교현장, 건축가, 기업 등 관련 기관의 정책수립, 운영계획수립, 시설건립 등 다양한 사업추진과 밀접한 관계가 있는 '안전체험교실 시설모형을 개발'하기 위하여 안전체험교실에 적용하기 위한 필수 교육프로그램을 도출하고 단위공간 조성과 이에 대한 구성요소 및 활용방안을 제시하는데 목적이 있다. 본 연구는 5단계로 내용을 구성하였다. 첫째, 안전교육 수행 및 시설계획 기본방향과 관련한 문헌을 분석하였으며, 둘째, 공간규모, 시설구성 등 공간조성 실태와 운영실태분석을 바탕으로 안전교육 체험교실 실태를 조사하였다. 이를 기반으로 기존 안전체험교실의 장 단점을 분석하고 델파이 조사 및 전문가 참여디자인을 통하여 5가지의 시설모형(안)을 개발하였다. 최종적으로 개발된 안전체험교실 시설모형(안)은 1) 교통안전(보행안전, 차량안전, 지하철안전) 2) 응급처치(응급구조, 신고요령) 3) 재난안전(화재 대피안전, 지진 생활안전) 4) 승강기안전(승강기안전, 에스컬레이터안전) 5) 약물 및 폭력안전(흡연 음주안전, 성폭력안전, 식품안전)에 대한 체험존과 각 영역의 세부 안전체험공간이다. 이러한 과정을 통해 개발된 안전체험교실 시설모형(안)은 학교현장의 수용 가능한 공간적 규모에 따라 각 모형을 조합 또는 분리하여 안전체험교실을 조성할 수 있을 것이다.

대학 강의실 수업의 효과성 향상을 위한 H형 블렌디드 이러닝 적용 효과 분석 (Investigation of H model blended e-learning technique in enhanced effectiveness of class learning)

  • 최병수;유상미
    • 컴퓨터교육학회논문지
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    • 제16권3호
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    • pp.49-60
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    • 2013
  • 본 연구는 블렌디드 이러닝이 대학의 강의실 위주의 수업에서 효과성을 향상시킬 수 있는지를 검증하고자 하였다. 먼저, 수업 사례를 분석하여 블렌디드 이러닝 운영방식으로 CbE(Class based E-learning)와 EbC(E-learning based Class) 방식을 도출하고, 수업구조로 Z형(Zigzag model)과 H형(Ladder model)을 정의하였다. 연구의 목적을 달성하기 위하여 A대학의 "엑셀실무" 과목에 CbE 방식의 H형 블렌디드 이러닝을 운영하였다. 집단은 사이버강의 학습참여비율의 50%이상인 집단(그룹 1)과 그렇지 않은 집단(그룹 2)으로 나누고, 자료의 분석은 $x^2$-검정, t -검정으로 학업 성취도를 비교하였다. 사이버강의 학습참여비율과 합격여부의 관계를 규명하기 위해 로지스틱 회귀분석을 실시하였다. 검정 결과, 그룹 1이 학업 성취도에서 통계적으로 유의하게 높게 나타났다. 로지스틱 회귀분석 결과에서 사이버강의 학습참여비율은 합격여부를 예측하는 유의미한 변인으로 규명됨에 따라, 블렌디드 이러닝의 효과성이 확증되었다. 연구 결과, H형 블렌디드 이러닝은 강의실 수업의 단점을 보완하여 학업 성취도와 학습 만족도를 향상시키고, 학습자가 블렌디드 이러닝 수업 방식에 대해 긍정적인 인식을 갖도록 한 것으로 나타났다. 끝으로 성공적으로 블렌디드 이러닝을 운영하기 위한 전략과 대학에서의 활성화 방안에 대해 제언하였다.

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G러닝 수학 수업이 미국 초등학교 5학년 학생의 수학 성취도 향상에 미치는 영향 (Effectiveness of G-Learning Math Class in Increase of Math Achievement of K-5 Students in USA)

  • 위정현;원은석
    • 한국게임학회 논문지
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    • 제12권1호
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    • pp.79-90
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    • 2012
  • 본 연구는 미국 LA 컬버시티에 소재한 라발로나 초등학교에서 5학년 1개 반을 대상으로 6주 동안 진행된 G러닝 수학 수업의 구성 과정과 그 효과성을 제시하였다. G러닝 수학 수업을 구성하기 위해 G러닝 콘텐츠의 개발, 수업의 구성, G러닝 수학 수업의 교수학습 모형, 교재개발 그리고 교사연수를 실시하였다. 이와 같은 과정을 통해 기획된 G러닝 수학 수업의 결과 수업반의 수학 성적은 약 12점 상승하여 비교반보다 높은 향상도를 보였으며, 하위집단은 22점, 상위 집단은 9점이 향상되었다. 또한, 수업 이후 G러닝에 대한 참여 학생의 흥미도와 효과에 대한 인지도가 긍정적으로 향상되었다.

자아강도, 실패내성 및 수행불안이 학령기 아동의 학교수업적응에 미치는 영향: 성별에 따른 차이를 중심으로 (The Effects of Ego Strength, Failure Tolerance, and Performance Anxiety on School-Age Children's School Class Adjustment: A Focus on Gender Differences)

  • 김세영
    • 아동학회지
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    • 제37권2호
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    • pp.13-25
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    • 2016
  • Objective: The purposes of this study were to examine the effects of school-age children's ego strength, failure tolerance, and performance anxiety on their school class adjustment, and to model the relation structure of the variables. Method: For these purposes, a questionnaire survey was conducted with 562 6th graders. Results and Conclusion: The results of this study are summarized as follows. First, ego strength, failure tolerance, and performance anxiety were significantly different according to gender. Second, in male students, ego strength, failure tolerance, and performance anxiety had a significant direct effect on school class adjustment. In addition, ego strength and failure tolerance had a significant indirect effect on school class adjustment. Third, female students' paths to school class adjustment were similar to male students' but the effect of failure tolerance on performance anxiety and the effect of performance anxiety on school class adjustment were not significant. Fourth, in the results of multi-group analysis, the effect path from ego strength to school class adjustment was different between male and female students, and the effect was higher in female students than in male students.

잠재계층분석을 활용한 결혼이주여성의 건강관련행동 군집유형과 영향요인 (Health related behavior patterns and associated factors among marriage immigrant women using latent class analysis)

  • 조원섭;유승현;김혜경
    • 보건교육건강증진학회지
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    • 제32권5호
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    • pp.17-31
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    • 2015
  • Objectives: This paper aims to identify the health related behaviors patterns and its associated factors among marriage immigrant women in Korea, and discusses their application to health promotion strategies. Methods: The study participants were 7,591 immigrant wives in Gyeonggi province who participated in health examinations conducted by the Korea Association of Health Promotion in 2011-2013. The participants completed self-administered questionnaires on sociodemographics, psychological characteristics, health status and health care factors, and health related behaviors. Results: A 3-latent-class model of health behaviors was identified related to 'lack of physical activity', 'abnormal diet', and 'not experienced medical check-up': 'high risk class', 'middle risk class', and 'low risk class'. Most of the participants belong to 'middle risk class'. Country of origin, age, length of stay, number of children, work status, health insurance status, and unmet health care needs were associated with problematic health behaviors in middle risk health behavior class. Conclusions: Health promotion and intervention programs for marriage immigrant women and their family members need to consider the health behavior patterns of physical inactivity, abnormal diet and no medical check-up and develop multiple behavior intervention with pre-existing program modification.

MCSVM을 이용한 반도체 공정데이터의 과소 추출 기법 (Under Sampling for Imbalanced Data using Minor Class based SVM (MCSVM) in Semiconductor Process)

  • 박새롬;김준석;박정술;박승환;백준걸
    • 대한산업공학회지
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    • 제40권4호
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    • pp.404-414
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    • 2014
  • Yield prediction is important to manage semiconductor quality. Many researches with machine learning algorithms such as SVM (support vector machine) are conducted to predict yield precisely. However, yield prediction using SVM is hard because extremely imbalanced and big data are generated by final test procedure in semiconductor manufacturing process. Using SVM algorithm with imbalanced data sometimes cause unnecessary support vectors from major class because of unselected support vectors from minor class. So, decision boundary at target class can be overwhelmed by effect of observations in major class. For this reason, we propose a under-sampling method with minor class based SVM (MCSVM) which overcomes the limitations of ordinary SVM algorithm. MCSVM constructs the model that fixes some of data from minor class as support vectors, and they can be good samples representing the nature of target class. Several experimental studies with using the data sets from UCI and real manufacturing process represent that our proposed method performs better than existing sampling methods.