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篇名 |
学习资源语义关联关系及其可视化研究
|
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並列篇名 | Research on Semantic Linked Relations and Visualization of Learning Resources |
作者 | 吳鵬飛、余勝泉 |
中文摘要 | 学习资源间丰富的关联关系可以实现资源的语义化组织,为智能化、个性化资源推荐提供知识基础,对于增加资源重用性、促进学习资源进化和提升学习有效性具有重要作用。然而,目前学习资源之间普遍缺乏关联,如何构建资源间语义关联关系是值得研究的问题。目前已有的学习对象关系模型如SCORM关系模型、基于教学设计理论和基于修辞结构理论的关系模型都是从单一的维度去描述学习对象间的关系,还未考虑到开放网络环境下用户的多样化、个性化资源组织实际需求,更缺乏可视化的语义关联关系构建平台。该文在系统梳理国内外学习资源间的关联关系构建研究现状基础上,综合考虑开放网络环境下用户实际学习资源关联需求,提出一种学习资源语义关联关系模型,分为两大关系维度:面向结构语义型关系和面向教学语义型关系,共集成了30种关系;在此基础上,设计Web可视化的语义关联关系构建平台,并在学习元平台中实现。可视化语义关联关系构建为后续学习资源的快速进化和智能化、个性化资源推荐服务提供一定的语义基础。 |
英文摘要 | The rich semantic relations between the learning resources can enhance the learning effectiveness and the increase of the resource reuse, and also help to promote the evolution of learning resources. However, at present, there are some models such as SCORM model, instructional design theory and relational model based on rhetorical structure theory that describe the relationship between learning objects from only a single dimension and lack of consideration of the actual needs of users under the open network environment. On the basis of the research on the relationship between the learning resources, this study proposes a model of the relationship between the learning resources, which is divided into two dimensions: the structural semantic oriented model and the semantic oriented teaching model. On the basis of this, the web visual platform of construction of the semantic relations is designed and implemented in the learning cell platform. The visual semantic relationships are semantic basis for the rapid evolution and intelligent personalized resource recommendation service. |
起訖頁 | 097-104 |
關鍵詞 | 可视化、语义关联关系模型、关系构建、个性化资源推荐、学习元、Visualization、Semantic Linked Relation Model、Relationship Building、Personalized Recommendation、Learning Cell |
刊名 | 中國電化教育 |
期數 | 201512 (347期) |
出版單位 | 中國電化教育雜誌社 |
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