• 제목/요약/키워드: Learning with Information

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도서관 정보코먼스에서 러닝코먼스로의 진화 - 일본 공공도서관의 러닝코먼스화 사례를 중심으로 - (Evolution of Public Library from Information Commons to Learning Commons - The Cases of Japan Public Library -)

  • 임형연
    • 한국도서관정보학회지
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    • 제45권3호
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    • pp.441-462
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    • 2014
  • 본 연구는 최근 문헌정보학에 대두되고 있는 정보코먼스 및 러닝코먼스에 대한 개념과 차이점을 분석하고 일본 공공도서관의 러닝코먼스화 사례연구를 통하여 공공도서관의 러닝코먼스화 방향에 관한 시사점을 얻고자 하였다. 러닝코먼스화 분석을 위해 러닝코먼스의 구성요소를 이론적으로 정리해보고, 공공도서관에 적합한 분석의 틀을 설계하고 일본의 공공도서관에 대한 사례분석을 실시하였다. 사례 분석의 결과, 도서관이 정보의 도구에 의해 주도된 정보 코먼스를 넘어 본연의 학습기능으로 돌아가고 있음을 보여주고 있다. 또한 러닝코먼스를 지향하는 공공도서관이 해야 할 미래 과제에 대한 시사점을 던져주고 있다.

Active Random Noise Control using Adaptive Learning Rate Neural Networks

  • Sasaki, Minoru;Kuribayashi, Takumi;Ito, Satoshi
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2005년도 ICCAS
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    • pp.941-946
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    • 2005
  • In this paper an active random noise control using adaptive learning rate neural networks is presented. The adaptive learning rate strategy increases the learning rate by a small constant if the current partial derivative of the objective function with respect to the weight and the exponential average of the previous derivatives have the same sign, otherwise the learning rate is decreased by a proportion of its value. The use of an adaptive learning rate attempts to keep the learning step size as large as possible without leading to oscillation. It is expected that a cost function minimize rapidly and training time is decreased. Numerical simulations and experiments of active random noise control with the transfer function of the error path will be performed, to validate the convergence properties of the adaptive learning rate Neural Networks. Control results show that adaptive learning rate Neural Networks control structure can outperform linear controllers and conventional neural network controller for the active random noise control.

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Development of Sound Design Strategies for Promoting Self-regulated Learning Behaviors in Mobile Learning Environments

  • KIM, Taehyun
    • Educational Technology International
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    • 제13권1호
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    • pp.101-144
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    • 2012
  • Students mostly precede their learning without any direct support of instructor in e-learning and mobile educational environment. Many useful strategies and tools to facilitate self-regulated learning behaviors in e-learning environment have been introduced, yet, the limit has been reached by only suggesting self-regulated strategies with visual information in the most researches. Accordingly, this research is intent to propose the sound design strategies that facilitate learner's self-regulated learning behaviors in mobile learning environment. To achieve the objective of the research, two research questions are presented. First, what are the sound design strategies that facilitate the self -regulated learning behaviors in mobile learning environment?. Second, what are the results of evaluating the developed sound design strategies in terms of facilitating self-regulated learning behaviors?. To solve these research questions, the literature reviews on characteristics of mobile learning, concepts and features of self-regulated learning and sound were done to establish the sound design strategies. Through formative research method targeting instructional designers, sound design strategies were modified and supplemented. The research to validate these was performed and to verify the effect of the derived sound design strategies, the usability test aimed at instructional designer and learners was conducted. The final sound design strategies through this research process were six general design strategies and the sixteen detailed strategies. This research is meaningful because this offers the basic research on sound information design which has been lacking and help upgrade the upper limit of instructional design which mainly focused on visual information in mobile learning environment that shows information in a small screen.

Design of Block Codes for Distributed Learning in VR/AR Transmission

  • Seo-Hee Hwang;Si-Yeon Pak;Jin-Ho Chung;Daehwan Kim;Yongwan Kim
    • Journal of information and communication convergence engineering
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    • 제21권4호
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    • pp.300-305
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    • 2023
  • Audience reactions in response to remote virtual performances must be compressed before being transmitted to the server. The server, which aggregates these data for group insights, requires a distribution code for the transfer. Recently, distributed learning algorithms such as federated learning have gained attention as alternatives that satisfy both the information security and efficiency requirements. In distributed learning, no individual user has access to complete information, and the objective is to achieve a learning effect similar to that achieved with the entire information. It is therefore important to distribute interdependent information among users and subsequently aggregate this information following training. In this paper, we present a new extension technique for minimal code that allows a new minimal code with a different length and Hamming weight to be generated through the product of any vector and a given minimal code. Thus, the proposed technique can generate minimal codes with previously unknown parameters. We also present a scenario wherein these combined methods can be applied.

r-Learning과 교육정보화 정책 (r-Learning and Educational Information Policies)

  • 이종연
    • 한국융합학회논문지
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    • 제1권1호
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    • pp.1-15
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    • 2010
  • 교육이란 사회적 변화를 예측하고 우리 사회가 필요로 하는 인재를 길러내야 할 책무성을 띠고 있으며, 이러한 사회적 변화에 따라 교육은 능동적으로 변해야 한다. 이러한 국내 교육변화에 대한 관심은 지난 1995년 교육과학기술부 교육개혁위원회의 '5 31 교육개혁안'을 통해 구체화된 바 있다. 따라서 본 논문은 교육정보화 정책의 3단계 방향과 교육정보화의 핵심 기술인 이러닝과 유러닝 기술을 검토할 것이다. 또한 이러닝은 콘텐츠 전달 매체에 따라 엠러닝(m-learning), 티러닝(t-learning), 유러닝(u-learning), 알러닝(r-learning), game-based learning 등으로 나눌 수 있다. 본 논문은 이 중 새로운 콘텐츠 전달 방법인 알러닝의 개념을 소개하고 유러닝과의 차이점을 비교하여 검토한다.

Web Learning Guidance for Elementary School Students

  • Kim, Hae-Gue;Oh, Kwang-Sik
    • Journal of the Korean Data and Information Science Society
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    • 제14권2호
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    • pp.223-235
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    • 2003
  • Using internet, most of students are still exposed to unreasonable commercial information and even tend to consumptive behaviors. Various programs have been mobilized to keep it with a blockade system against the noxious information. But guidance is more instructive than blockade in respect of education. Thus, the focus of this study is to induce and motivate their self-directed learning activities with internet guide contents. We develope a learning guidance material as one of the information platforms. Furthermore, we consider the availability of such learning guidance materials through interview and observation. We find that easy and meaningful internet access and utilizing environment influence the children's self-directed learning ability.

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e-Learning 2.0 환경에서의 학습자 중심의 자기주도적 학습 시스템 (A Self-Directed Learning System of the Learner center e-Learning 2.0 Environment)

  • 성경
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2007년도 추계종합학술대회
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    • pp.687-690
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    • 2007
  • 최근 웹2.0기술의 보급 확대로 개방과 참여, 공유를 의미하는 블로그, UCC 등과 함께 2.0시리즈가 대중화되고 있다. 그동안의 e-Learning이 강사주도형, 지식전달형으로 많이 치우쳐 이러닝에 학습자들의 참여가 저조한 실정이었던 반면, 웹2.0기술을 활용한 e-Learning 2.0은 이러한 한계를 뛰어 넘을 수 있는 환경을 제공하고 있다. e-Learning도 웹2.0을 잘 적용해 학습자들의 참여와 공유를 바탕으로 이러닝 2.0 시스템의 개발의 필요성이 대두되고 있다. e-Learning 2.0은 참여와 공유를 바탕으로 학습방법이나 노하우, 정보, 요약 노트를 주고받으면서 획기적으로 공부의 효율성을 서로 높일 수 있을 것이다.

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코호넨의 자기조직화 구조를 이용한 클러스터링 망에 관한 연구 (On the Clustering Networks using the Kohonen's Elf-Organization Architecture)

  • 이지영
    • 정보학연구
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    • 제8권1호
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    • pp.119-124
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    • 2005
  • Learning procedure in the neural network is updating of weights between neurons. Unadequate initial learning coefficient causes excessive iterations of learning process or incorrect learning results and degrades learning efficiency. In this paper, adaptive learning algorithm is proposed to increase the efficient in the learning algorithms of Kohonens Self-Organization Neural networks. The algorithm updates the weights adaptively when learning procedure runs. To prove the efficiency the algorithm is experimented to clustering of the random weight. The result shows improved learning rate about 42~55% ; less iteration counts with correct answer.

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Combination of Learning Contents and Technology

  • Kim Min-Kyung;Kim Won-Il;Kim Jin-Sung
    • International Journal of Contents
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    • 제1권2호
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    • pp.10-12
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    • 2005
  • Along with development of the Internet, education is achieved on-line actively. Therefore, interest about computer aided learning is growing. By a lot of advantages such as expense and time-saving side, this type of learning is widening area gradually. In this paper we discuss some of the learning technology, such as e-learning, m-learning, and u-learning.

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Web Hypermedia Resources Reuse and Integration for On-Demand M-Learning

  • Berri, Jawad;Benlamri, Rachid;Atif, Yacine;Khallouki, Hajar
    • International Journal of Computer Science & Network Security
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    • 제21권1호
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    • pp.125-136
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    • 2021
  • The development of systems that can generate automatically instructional material is a challenging goal for the e-learning community. These systems pave the way towards large scale e-learning deployment as they produce instruction on-demand for users requesting to learn about any topic, anywhere and anytime. However, realizing such systems is possible with the availability of vast repositories of web information in different formats that can be searched, reused and integrated into information-rich environments for interactive learning. This paradigm of learning relieves instructors from the tedious authoring task, making them focusing more on the design and quality of instruction. This paper presents a mobile learning system (Mole) that supports the generation of instructional material in M-Learning (Mobile Learning) contexts, by reusing and integrating heterogeneous hypermedia web resources. Mole uses open hypermedia repositories to build a Learning Web and to generate learning objects including various hypermedia resources that are adapted to the user context. Learning is delivered through a nice graphical user interface allowing the user to navigate conveniently while building their own learning path. A test case scenario illustrating Mole is presented along with a system evaluation which shows that in 90% of the cases Mole was able to generate learning objects that are related to the user query.