• 제목/요약/키워드: learning sources

검색결과 348건 처리시간 0.025초

Elementary Students' Perceptions of Earth Systems and Environmental Issues

  • Lee, Hyon-Yong;Fortner, Rosanne W.
    • 한국지구과학회지
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    • 제27권7호
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    • pp.705-714
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    • 2006
  • The purpose of this study was to explore the elementary students' perceptions of Earth systems and environmental issues. A survey was conducted to determine the students' perceptions on the following aveas: (1) the concepts of certainty and tangibility, (2) self-reported knowledge level, (3) perceived danger level of selected eight Earth systems and environmental issues, and (4) their primary information source on these issues. Results indicated that ozone hole, acid rain, El $Ni\widetilde{n}o$, and global warming were identified by the students as uncertain and intangible issues. Perceived certainty and perceived tangibility were highly positively correlated with self-reported knowledge compared to other relationships. The results also showed that learning from school was the most frequent information source for environmental issues. The second most frequently used source of information was television among several mass media sources. It is hoped that this study contributes to understanding the elementary school students' perceptions toward the selected Earth systems and environmental issues.

21 세기의 농업 보급 (Agricultural Extension for the 21 st Century)

  • 후지타야스키;민성희
    • 농촌지도와개발
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    • 제7권1호
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    • pp.31-44
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    • 2000
  • Securing food safety, natural and social environmental protection, and activation of rural communities are some of challenging tasks for the 21st century. National consensus on agriculture as a basic and public industry would be needed to solve these challenging tasks. Agricultural policy and extension education should be focused on encouraging farmers to achieve better production and management by developing their motivation and ability. Systematic and organizational efforts to make a better environment for farming and farm management should be the major target of agricultural policy and extension services in the future. To meet changing needs of farmer, agricultural extension services should change programs, functions, information sources, and methods of delivery to adopt experiential learning for farmers. Functions for consultation, suggestion and organization should be extended and advisory services for farmers should be emphasized by providing extension education.

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한국의 대학도서관 조직개발에 관한 연구 (A Study on the Organizational Development of the Academic libraries in Korea)

  • 박인웅
    • 한국도서관정보학회지
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    • 제34권1호
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    • pp.331-349
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    • 2003
  • 이 연구는 한국 대학도서관의 서비스를 향상하고 조직문화의 활성화를 도모하기 위하여 대학도서관 조직개발 전략을 모색하였다. 이를 위해 문헌적 연구를 통하여 조직개발 이론과 대학도서관 조직 관련 연구들을 간략히 살펴보고, 대학도서관에서의 조직개발에 대하여 고찰하였다. 이 연구는 국내 대학도서관의 조직개발 전략으로 팀제의 안착, 지식경영과 학습조직문화의 개발, 전략적 계획의 수립을 제시하였다.

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기업의 내·외부 지식원천이 혁신성과에 미치는 영향과 기업집단 효과 (The Impact of Internal and External Sources of Knowledge on Innovation Performance in Independent Firms and Business Group Affiliates)

  • 김지희;이지환
    • 지식경영연구
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    • 제16권1호
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    • pp.171-191
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    • 2015
  • This paper investigates how internal knowledge dependency and its interaction with external knowledge adoption affect innovation performance in Korean companies. We categorize innovation performance into exploratory innovation and exploitative innovation. Especially, we examine business group effects as group headquarters and sister subsidiaries holistically form the boundary of the firm. Our empirical results first suggest that the degree of internal knowledge dependency is positively associated with exploitative innovation, but negatively with exploratory innovation. Second, internal knowledge dependency is more negatively related to exploratory innovation in independent firms than in business group affiliates. Third, independent firms' adoption of external knowledge tends to strengthen the positive relationship between internal knowledge dependency and exploitative innovation. Finally, exploitative external knowledge search appears to strengthen the negative relationship between internal knowledge dependency and exploratory innovation in both types of firms.

교육과정 분석에 따른 교육용 기록정보콘텐츠의 예시 설계 (Designing the Archival Contents Sample for Education Based on Curriculum-standards Analysis)

  • 이은영
    • 한국기록관리학회지
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    • 제11권2호
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    • pp.165-188
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    • 2011
  • 본 논문은 교사와 학생을 대상으로 제공하는 교육용 기록정보콘텐츠를 개발하는데 있어 핵심적인 단계인 교육과정 분석과 컬렉션 분석의 방법을 제시하고 이 방법에 따라 교육용 기록정보콘텐츠의 예시를 설계하였다. 본 논문은 고등학교 수업에서 통일 교육의 교재로 활용할 수 있는 교육용 기록정보콘텐츠를 설계함으로써 앞서 제안한 교육과정 분석과 컬렉션 분석의 적용 가능성을 검증해보고, 교육과정과 연계되어 활용할 수 있는 교육용 기록정보콘텐츠의 모델을 제시하고자 하였다.

읽기 그룹 활동에서 그룹원간의 역할활동과 교사의 역할에 대하여 (On group dynamics and teacher's role in a reading group)

  • 나경희;이선
    • 영어어문교육
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    • 제10권1호
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    • pp.77-106
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    • 2004
  • This study aims to investigate how the four college students interact with one another to discuss and construct meaning in a small reading group. Additionally, this study attempts to examine how the participants played their roles in the group. Data sources consisted of transcripts of the students' interactions, questionnaires and informal interviews, and the researchers' observation notes. The data revealed that the participants contributed fairly steadily to the interactions by checking with own grammatical knowledge, providing lexical information, understanding the micro level context, and presenting the macro level context. Several pedagogical implications are presented for the practical classroom. Findings of the study suggest effective ways to implement group activities in reading classes and a teacher's role for optimum group learning.

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Comparison of Classification Rate Between BP and ANFIS with FCM Clustering Method on Off-line PD Model of Stator Coil

  • Park Seong-Hee;Lim Kee-Joe;Kang Seong-Hwa;Seo Jeong-Min;Kim Young-Geun
    • KIEE International Transactions on Electrophysics and Applications
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    • 제5C권3호
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    • pp.138-142
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    • 2005
  • In this paper, we compared recognition rates between NN(neural networks) and clustering method as a scheme of off-line PD(partial discharge) diagnosis which occurs at the stator coil of traction motor. To acquire PD data, three defective models are made. PD data for classification were acquired from PD detector. And then statistical distributions are calculated to classify model discharge sources. These statistical distributions were applied as input data of two classification tools, BP(Back propagation algorithm) and ANFIS(adaptive network based fuzzy inference system) pre-processed FCM(fuzzy c-means) clustering method. So, classification rate of BP were somewhat higher than ANFIS. But other items of ANFIS were better than BP; learning time, parameter number, simplicity of algorithm.

벡터 양자화를 위한 학습 알고리즘을 이용한 음성 전송 기술에 관한 연구 (A study on the competitive learning algorithm for robust vector qantization to transmit speech signal)

  • 홍강유;박상희
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1999년도 하계학술대회 논문집 G
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    • pp.3150-3152
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    • 1999
  • The efficient representation and encoding of signals with limited resources, e.g., finite storage capacity and restricted transmission bandwidth, is a fundamental problem in technical information processing systems. Typically under realistic circumstances, the encoding and communication of message has to deal with different sources of noise and disturbances. In this paper, I propose a unifying approach to data compression by robust vector quantization, which explicitly deals with channel noise, and random elimination of prototypes. The resulting algorithm is able to limit the detrimental effect of noise in a very general communication scenario. In this paper, based on the robust vector quantization I have an experiment about speech coding.

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Real-time photoplethysmographic heart rate measurement using deep neural network filters

  • Kim, Ji Woon;Park, Sung Min;Choi, Seong Wook
    • ETRI Journal
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    • 제43권5호
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    • pp.881-890
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    • 2021
  • Photoplethysmography (PPG) is a noninvasive technique that can be used to conveniently measure heart rate (HR) and thus obtain relevant health-related information. However, developing an automated PPG system is difficult, because its waveforms are susceptible to motion artifacts and between-patient variation, making its interpretation difficult. We use deep neural network (DNN) filters to mimic the cognitive ability of a human expert who can distinguish the features of PPG altered by noise from various sources. Systolic (S), onset (O), and first derivative peaks (W) are recognized by three different DNN filters. In addition, the boundaries of uninformative regions caused by artifacts are identified by two different filters. The algorithm reliably derives the HR and presents recognition scores for the S, O, and W peaks and artifacts with only a 0.7-s delay. In the evaluation using data from 11 patients obtained from PhysioNet, the algorithm yields 8643 (86.12%) reliable HR measurements from a total of 10 036 heartbeats, including some with uninformative data resulting from arrhythmias and artifacts.

Teaching Practices for All Learners in the Mathematics Classroom

  • Kim, Jinho;Yeo, Sheunghyun
    • 한국수학교육학회지시리즈D:수학교육연구
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    • 제22권2호
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    • pp.123-134
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    • 2019
  • In this paper, we articulate what is a lesson for all learners with different cognitive levels and what kind of teaching practices are required to implement this type of lesson. For all learners' own sense-making, open-ended tasks are the primary sources to bring their various mathematical ideas. These tasks can be meaningfully implemented by appropriate teaching practices: providing enough time (for thinking deeply and for preparing a reply), acting intentionally (alternative wrapping up activities and appointment of a struggling student), and cultivating collaborative classroom norms (respecting peer's thinking and learning from peers). This exploratory study has the potential to help practitioners and researchers understand the complexity of the work of teaching and clarify how to deal with such complexity.