基于知识元的网络学习资源聚合模型设计与应用研究

发布时间：2018-06-09 00:34

本文选题：知识元 + 网络学习资源　；参考：《华中师范大学》2017年硕士论文

【摘要】：在教育大数据时代背景下,我国的教育信息化在深化进程中搭建了良好的支撑平台和基础建设,为基于互联网的各类新型教育模式的萌发和快速发展提供了合适的土壤。网络学习资源快速的在互联网上积累和传播,具有信息量大、形式多样、更新快速等优点,但同时也存在学习资源过泛、组织混乱、聚合性不足等问题。本文提出了构建基于知识元的网络学习资源聚合模型,并将该模型应用于在线学习平台中,设计相应的知识地图系统快速精准的将学习资源立体化、精细化、可视化的呈现在学习者面前,避免学习者因学习资源的分布散乱而承担额外的认知负荷。本文的主要内容如下:第一,针对网络学习资源聚合和知识元的研究现状作了分析,找出了本文研究的突破点,即基于知识元进行网络学习资源的聚合。基于此,对知识元在网络学习资源聚合中的应用案例进行了研究,找出在资源聚合中引入知识元概念的理论依据。第二,通过对现有的网络资源描述标准进行分析,构建了基于知识元的网络学习资源表征模型。在资源模型中,网络学习资源拥有名称、格式、来源、关键词和关联知识元五种属性,并通过RDF/XML语法描述了资源实例。第三,基于网络学习资源表征模型采用知识元库的三层构建法提出了多维度、精细化、立体化的网络学习资源聚合模型。在聚合模型中,网络学习资源通过知识元之间的关联关系形成一个有机整体,打破了学科知识内容之间的界限,促进了知识的发现与创新。第四,将网络学习资源聚合模型应用于在线学习平台的知识地图系统设计中。指出该系统在知识可视化、知识检索、知识推荐方面的应用特征。本文通过构建基于知识元的网络学习资源聚合模型,试图为网络学习资源的描述和聚合提供理论上的指导。将网络学习资源聚合模型应用到在线学习平台,使用知识地图来组织呈现网络课程的知识内容,为泛在信息环境中的学习者提供高效的知识导航与检索服务,更好的支持了学习者的个性化学习、终身学习事业,同时对知识地图的设计也具有一定借鉴价值。
[Abstract]:Under the background of educational big data era, China's educational informatization has built a good supporting platform and infrastructure in the process of deepening, which provides a suitable soil for the germination and rapid development of various new types of educational models based on the Internet. E-learning resources accumulate and spread rapidly on the Internet, which has the advantages of large amount of information, diverse forms and rapid renewal. However, there are also some problems such as over-extensive learning resources, chaotic organization, insufficient aggregation and so on. In this paper, a model of learning resource aggregation based on knowledge element is proposed, and the model is applied to the online learning platform. The corresponding knowledge map system is designed to quickly and accurately make learning resources three-dimensional and refined. Visual presentation in front of learners to avoid the learners because of the distribution of learning resources to bear additional cognitive burden. The main contents of this paper are as follows: firstly, this paper analyzes the current situation of network learning resource aggregation and knowledge element research, and finds out the breakthrough point of this paper, that is, network learning resource aggregation based on knowledge element. Based on this, this paper studies the application of knowledge element in network learning resource aggregation, and finds out the theoretical basis for introducing the concept of knowledge element in resource aggregation. Secondly, the representation model of network learning resources based on knowledge element is constructed by analyzing the existing standards of network resource description. In the resource model, the network learning resource has five attributes: name, format, source, keyword and associated knowledge element, and describes the resource instance through RDF / XML syntax. Thirdly, based on the representation model of web-based learning resources, a multi-dimensional, refined and three-dimensional network learning resource aggregation model is proposed by using the three-layer construction method of knowledge element library. In the aggregation model, the network learning resources form an organic whole through the relationship between knowledge elements, break the boundary between the knowledge content of the subject, and promote the discovery and innovation of knowledge. Fourthly, the network learning resource aggregation model is applied to the design of the knowledge map system of the online learning platform. The application features of the system in knowledge visualization, knowledge retrieval and knowledge recommendation are pointed out. This paper attempts to provide theoretical guidance for the description and aggregation of web-based learning resources by constructing a network learning resource aggregation model based on knowledge element. The network learning resource aggregation model is applied to the online learning platform, and the knowledge map is used to organize and present the knowledge content of the network course, which provides efficient knowledge navigation and retrieval services for the learners in the information environment. It supports learners' individualized learning and lifelong learning, and also has some reference value to the design of knowledge map.
【学位授予单位】：华中师范大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：G434

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