• 제목/요약/키워드: and interdisciplinary learning

검색결과 235건 처리시간 0.023초

Virtual Learning Environments for Statistics Education and Applications for Official Statistics

  • Mittag Hans-Joachim
    • 한국통계학회:학술대회논문집
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    • 한국통계학회 2004년도 학술발표논문집
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    • pp.307-312
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    • 2004
  • In our fast-moving information and knowledge society, skills and know-how rapidly become outdated. Virtual learning environments play a key role in meeting today's growing demand for customized educational and vocational training and lift-long teaming. The scope of multimedia-based and web-supported education is illustrated by means of an interdisciplinary multimedia project 'New Statistics' funded by the German government. The project output contains more than 70 learning modules covering the complete curriculum of an introductory statistics course. All modules are based on a statistical laboratory and on a multitude of Java applets, animations and case studies. The paper focuses on presenting the statistical laboratory and the applets. These components present the main project pillars and are particularly suitable for international use, independently from the original project framework. This article also demonstrates the application of Java applets and other multimedia developments from the educational world to official statistics for interactive presentation of statistical information.

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인셉션 모듈 기반 컨볼루션 신경망을 이용한 얼굴 연령 예측 (Facial Age Estimation Using Convolutional Neural Networks Based on Inception Modules)

  • ;조현종
    • 전기학회논문지
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    • 제67권9호
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    • pp.1224-1231
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    • 2018
  • Automatic age estimation has been used in many social network applications, practical commercial applications, and human-computer interaction visual-surveillance biometrics. However, it has rarely been explored. In this paper, we propose an automatic age estimation system, which includes face detection and convolutional deep learning based on an inception module. The latter is a 22-layer-deep network that serves as the particular category of the inception design. To evaluate the proposed approach, we use 4,000 images of eight different age groups from the Adience age dataset. k-fold cross-validation (k = 5) is applied. A comparison of the performance of the proposed work and recent related methods is presented. The results show that the proposed method significantly outperforms existing methods in terms of the exact accuracy and off-by-one accuracy. The off-by-one accuracy is when the result is off by one adjacent age label to the above or below. For the exact accuracy, the age label of "60+" is classified with the highest accuracy of 76%.

환경교육 담당자 양성 체제의 개선 (Training System of Environment Education Teacher : Problem and Prospect)

  • 최운식
    • 한국환경교육학회지:환경교육
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    • 제13권1호
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    • pp.14-22
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    • 2000
  • This attempts to find out training system of environment education teacher in Korea. The results are summarized as follows. The primary and secondary school have focused on environment education and the environment course was designated as a subject, but only 12% of the 2741 middle school chose the environment subject in 1998. The environment education course is not popular among students. The environment education is an interdisciplinary subject, which is composed of natural science, social studies, earth science, and medical science, that is why the subject is so unsystematic and complicated that appropriate teaching methods and contents for school classes are not able to be developed. Moreover, material and manuals in environment education for students and teachers are limited. While the contents of environment education is composed of field experience learning and experiment learning, but lecture-centered instruction is emphasized in school because of materials, time and experts. Over 300 environmental education teachers are annually produced, but the ratio of employment low. is, Therefore, a retraining program for environment education teacher needs to be developed.

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Review of Korean Speech Act Classification: Machine Learning Methods

  • Kim, Hark-Soo;Seon, Choong-Nyoung;Seo, Jung-Yun
    • Journal of Computing Science and Engineering
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    • 제5권4호
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    • pp.288-293
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    • 2011
  • To resolve ambiguities in speech act classification, various machine learning models have been proposed over the past 10 years. In this paper, we review these machine learning models and present the results of experimental comparison of three representative models, namely the decision tree, the support vector machine (SVM), and the maximum entropy model (MEM). In experiments with a goal-oriented dialogue corpus in the schedule management domain, we found that the MEM has lighter hardware requirements, whereas the SVM has better performance characteristics.

교과교육 사조의 고찰에 따라 새로 권장되는 교수학습방법 (Newly proposed points of Teaching - learning methodology in the Historical Development of Science Education)

  • 남철우
    • 한국초등과학교육학회지:초등과학교육
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    • 제18권1호
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    • pp.75-85
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    • 1999
  • This paper describes some major trends in primary and secondary education now. It is a selective views of significant topics with important implication for the future. These trends are summarized as follows, after examining historical development of Teaching-learning Methodology in primary and secondary education. 1. Education is seen as part of interdisciplinary world; emphasis is on relating education to the students' world, which is not compartmentalized. 2. Emphasizing students' individual growth with their own goal of lives. 3. Open-education with variable contents and purposes of education. 4. Education for all from that for some. 5. Consructivist based from behavior based. 6. Cooperative learning, peer tutoring, group projects. 7. Authentic assessment; assessment integrated with instruction. 8. The teacher is a facilitator of learning and a learner as well; students are learners and teachers in some situations; networks emerge instead of one-way forms or communication. 9. Spiral curriculum from single exposure.

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Gregor Mendel and the Seven Genes (1)

  • Tateno, Yoshio
    • Interdisciplinary Bio Central
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    • 제5권4호
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    • pp.7.1-7.3
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    • 2013
  • This essay describes G. Mendel's life and his law of inheritance. He was born in a poor family in 1822 in a hamlet in Czechs. At that time the Habsburg Empire dominated over the East Europe in which Vienna was the capital. Vienna had thus been the center of culture and learning, and attracted many artists and scholars such as W. Mozart (1756- 1791), L. Beethoven (1770-1827), C. Doppler (1803-1853), S. Freud (1856-1939), G. Mahler (1860-1911), G. Klimt (1862-1918) and E. Schiele (1890-1918). Beethoven came to Vienna to learn from Mozart. Klimt was influence by Schilele. When Mahler consulted Freud about his mental problem, Freud said to him "Your mental condition was not normal, but the condition made you creative. So, do not worry too much about it." Like that, there were many interactions among them, and Mendel was no exception. Though Mendel was poor, he was fortunate in his education and scientific research, because he could have excellent supporters in his family and out of it. He learned mathematics and physics at Vienna University under the guidance of C. Doppler. He was not totally alone when he discovered his law of inheritance. It may not be true either that his law was neglected and rediscovered in the year of 1900. As his one and only paper indicates, he was one of the earliest interdisciplinary scientists.

The Effect of a Rainwater Education Program on South Korean Students' Awareness and Attitudes

  • Seo, Eun-Jung;Kim, Tae-Yeon;Kang, Tae-Ho
    • Environmental Engineering Research
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    • 제18권2호
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    • pp.77-84
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    • 2013
  • Recently, rainwater has come to the forefront as an alternative resource contributing to solving various environmental problems, especially those related to water. However, more or less biased perspectives on rainwater as a pollutant, mainly derived from acid rain, have still been pervasive in public as well as research communities. Considering the significance of rain harvesting in recent society, it is necessary to promote educational efforts to overcome such social prejudices and improve desired values towards rainwater. Thus, this research attempted to develop a teaching-learning program focusing on the theme of rainwater for high school students in Korea. To verify the effectiveness of the program, one group pre/post testing was conducted with 57 students participating in the courses. According to the survey, students show significant differences in both awareness and attitude towards rainwater as well as water after the courses. In conclusion, this study has an implication on developing an effective educational way to improve students' positive recognitions and attitudes regarding rainwater-related issues. Such an educational effort might contribute to sharing the worthiness of preserving rainwater with the future generation and promoting rainwater harvesting within wider public participation.

플럭스 관측과 기계학습 기반의 데이터 주도 기술을 활용한 남한 산림 탄소 플럭스 추정 (Estimation of Forest Carbon Fluxes in South Korea using Flux Observation and Data-driven Technology based on Machine Learning)

  • 조성식;강민석;이치이 카즈히토;김준;임종환;천정화;박찬우;김현석;최성원;이승훈;요하나 마리아 인드라와티;김종호;손승원
    • 한국농림기상학회:학술대회논문집
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    • 한국농림기상학회 2019년도 하계 학술발표초록집
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    • pp.290-291
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    • 2019
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웹기반 학습콘텐츠관리시스템의 설계 및 구현 (A Design and Implementation of Web-Based Learning Content Management System)

  • 김상길;김수형
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2005년도 추계학술발표대회 및 정기총회
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    • pp.373-376
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    • 2005
  • 웹기반의 LCMS(Learning Content Management System)는 단지 학습 콘텐츠를 LMS(Learning Management System)에 제공하기 위하여 검증이 되지 않은 다양한 학습 콘텐츠를 탑재하는 시스템으로 구성되어 있어 학습자의 요구와 수준에 맞는 콘텐츠의 제공이 제대로 이뤄지지 않고 있다. 본 논문에서는 LMS와 LCMS를 연계한 학습이력정보와 학습 콘텐츠의 정보 관리를 함으로써 학습콘텐츠의 질적 향상과 학습자가 선호하는 콘텐츠의 정보를 통계적으로 보여주고 또 분석이 가능하게 함으로써, 학습자에게 보다 향상된 콘텐츠를 제공해 주기위한 학습콘텐츠관리시스템인 LCIMS(Learning Content Information Management System)를 설계하고 구현한다. 제시된 LCIMS는 기존의 LCMS에 학습 콘텐츠를 패키지 또는 SCO 단위로 등록하여 콘텐츠 저장소 (메타데이터 및 콘텐츠 파일)에서 체계적으로 저장 및 관리하는 역할을 추가를 하고 학습자별로 LCIMS의 학습콘텐츠 정보를 수준별, 과정별로 평가, 검색하여 LMS를 통해 학습 할 수 있도록 하는 검색 및 강좌 구성에 활용하며 학습자의 학습정보관리와 학습콘텐츠 정보의 관리를 체계적으로 할 수 있다.

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웹 기반 LCMS와 연계한 LMS에서의 학습통계 모듈 설계 및 구현 (A Design and Implementation of Web-Based Learning Statistics Model)

  • 김상길;김병기
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2005년도 춘계학술발표대회
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    • pp.321-324
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    • 2005
  • 기존의 LMS(Learning Management System)는 웹 기반의 e-Learning 교육의 장점에도 불구하고 학습자의 요구와 수준에 무관하게 학습과 관련한 컨텐츠들이 획일적으로 구성됨으로써, 학습자의 요구를 만족시키지 못하고 있다. 본 논문에서는 LCMS(Learning Content Management System) 와 LMS를 연계한 학습 통계 모듈을 제시하고, LMS에 학습자와 운영자에게 학습정보 데이터를 제공함으로써 학습하는 과정을 추적하고 학습이력을 관리 할 수 있는 학습통계모듈을 설계하고 구현한다. 제시된 모듈에서는 효과적인 학습통계을 위한 검색 방안으로 LCMS의 메타데이터와 다양한 학습관리 정보(CMI)값을 LMS를 호출하는 기능인 API(Application Program Interface) 어댑터를 이용하여 연계된 값과 LMS시스템에 학습지원과 운영지원 기능을 추가하여 나온 결과값을 바탕으로 하였다. 이 학습통계모듈을 통해서 LMS운영자는 학습자의 컨텐츠의 활용을 더욱 확장할 수가 있으며 학습자의 학습정보관리를 하는 LMS의 성능을 향상 시키고자 하였다.

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