A New Evolution Model for Collaborative Management of Knowledge Resources

J. Qian
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Abstract

Collaborative management of knowledge resources is a particularly important issue in the context of collaborative development of vocational education since it can increase utilization of knowledge resources, narrow knowledge gap, promote educational equity, and support the innovation and collaboration of vocational education. However, currently available studies and methods are quite deficient in the aspect of knowledge attribute regulation, such as the difficulty in meeting requirements for different-type knowledge resources, the ignorance of the dynamic feature of knowledge resources, and the insufficient consideration of knowledge attributes. To solve these matters, this study aims to discuss the importance of collaborative management of knowledge resources in a backdrop of the collaborative development of vocational education, with special attention on the key role of knowledge attribute regulation in collaborative management of knowledge resources. In the paper, a collaborative knowledge resource management evolution model was built to reveal the dynamic evolution process of the collaborative management of knowledge resources, so as to provide theoretical evidences for the decision-making of knowledge attribute regulation. On this basis, the paper further proposed a decision-making method of knowledge attribute regulation for the collaborative management of knowledge resources, in the hopes of realizing efficient collaborative management of knowledge resources and promoting the collaborative development of vocational education.
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一种新的知识资源协同管理演化模型
知识资源协同管理可以提高知识资源的利用率,缩小知识差距,促进教育公平,支持职业教育的创新与协作,是职业教育协同发展背景下一个尤为重要的问题。然而,现有的研究和方法在知识属性调节方面存在着很大的不足,如难以满足不同类型知识资源的需求、忽视知识资源的动态特征、对知识属性考虑不够等。为了解决这些问题,本研究旨在探讨在职业教育协同发展背景下知识资源协同管理的重要性,并特别关注知识属性调节在知识资源协同管理中的关键作用。本文建立了知识资源协同管理演化模型,揭示了知识资源协同管理的动态演化过程,为知识属性调控的决策提供理论依据。在此基础上,本文进一步提出了知识资源协同管理的知识属性调控决策方法,以期实现知识资源高效协同管理,促进职业教育协同发展。
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来源期刊
自引率
0.00%
发文量
352
审稿时长
12 weeks
期刊介绍: This interdisciplinary journal focuses on the exchange of relevant trends and research results and presents practical experiences gained while developing and testing elements of technology enhanced learning. It bridges the gap between pure academic research journals and more practical publications. So it covers the full range from research, application development to experience reports and product descriptions. Fields of interest include, but are not limited to: -Software / Distributed Systems -Knowledge Management -Semantic Web -MashUp Technologies -Platforms and Content Authoring -New Learning Models and Applications -Pedagogical and Psychological Issues -Trust / Security -Internet Applications -Networked Tools -Mobile / wireless -Electronics -Visualisation -Bio- / Neuroinformatics -Language /Speech -Collaboration Tools / Collaborative Networks
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