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E-learning from expertize: a computational approach to a non-textual culture of learning expertize read expertise

机译:通过专门知识进行电子学习:一种针对非文本学习文化的计算方法专门研究已读专业知识

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The importance of "culture of learning" has been pointed out by many authors and is an emerging feature of e-learning. Our basic assumption, as J. Bruner (1966) has pointed out, is that learning is fully embedded in the cultural roots of the community in which people live. The authors propose a computational model of learning from expertise based on the theory of approximated reasoning developed by G. Gerla (2000) and on the studies on language made by Vygotskij and its school (L.S. Vygotskij, 1966; T. Kuhn, 1988). In our interpretation, expertise is an ability acquired mostly by experience. Our research is also supported by a software prototype that we are developing at the University of Salerno, that we use for methodological purposes.
机译:许多作者已经指出“学习文化”的重要性,这是电子学习的新兴特征。正如J. Bruner(1966)所指出的,我们的基本假设是,学习完全嵌入了人们生活所在社区的文化根基中。作者基于G.Gerla(2000)提出的近似推理理论以及Vygotskij及其学校的语言研究(L.S. Vygotskij,1966; T.Kuhn,1988)提出了一种从专业知识中学习的计算模型。根据我们的解释,专业知识是一种主要由经验获得的能力。我们在萨勒诺大学开发的软件原型也为我们的研究提供了支持,我们将其用于方法论目的。

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