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LeGE-WG 3最新文献

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EnCOrE (Encyclope'die de Chimie Organique Electronique): an Original Way to Represent and Transfer Knowledge from Freshmen to Researchers in Organic Chemistry EnCOrE (encyclopedia’die de Chimie Organique Electronique):一种从有机化学新生到研究人员表达和传递知识的原始方式
Pub Date : 2003-12-03 DOI: 10.14236/EWIC/3LEGE2003.5
C. Colaux-Castillo, A. Krief
EnCOrE is an original proposal which is expected to allow to share and transfer knowledge in organic chemistry. The system will use MIDES a software, with a peer-to-peer architecture, which will allow to set up a technological and methodological frame to allow collaborative building of knowledge in between chemists. Learning GRID's services will help for Experimental electronic laboratory "LabCOrE" as well as for predictive computational tools.
EnCOrE是一项原创的提议,旨在分享和转移有机化学方面的知识。该系统将使用MIDES软件,采用点对点架构,这将允许建立一个技术和方法框架,以允许化学家之间协作建立知识。学习GRID的服务将有助于实验电子实验室“LabCOrE”以及预测计算工具。
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引用次数: 10
Derivation of Knowledge Structures for Distributed Learning Objects 分布式学习对象的知识结构推导
Pub Date : 2003-12-03 DOI: 10.14236/ewic/3lege2003.6
L. Stefanutti, D. Albert, Cord Hockemeyer
Knowledge space theory (Doignon & Falmagne, 1985; Albert & Lukas, 1999; Doignon & Falmagne, 1999) offers a rigorous and efficient formal framework for the construction, validation, and application of e-assessment and e-learning adaptive systems. This theory is at the basis of some existing e-learning and e-assessment adaptive systems in the U. S. and in Europe. Such systems are based on a fixed and local domain of knowledge, where fixed means that the domain does not change in time, and local refers to the fact that the items are stored and available locally. In this paper we present some theoretical notes on the efficient construction and application of knowledge spaces for knowledge domains that are both dynamic and distributed in space. This goes in the direction of an exploitation of new technologies like the GRID for building the next generation of learning environments.
知识空间理论(Doignon & Falmagne, 1985;Albert & Lukas, 1999;Doignon & Falmagne, 1999)为电子评估和电子学习自适应系统的构建、验证和应用提供了一个严格而有效的正式框架。这一理论是美国和欧洲现有的一些电子学习和电子评估适应系统的基础。这样的系统基于固定和局部的知识领域,其中固定意味着该领域不随时间变化,而局部是指项目在本地存储和可用的事实。本文就动态分布的知识领域如何有效构建和应用知识空间提出了一些理论建议。这是朝着开发新技术的方向发展的,比如建立下一代学习环境的GRID。
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引用次数: 14
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LeGE-WG 3
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