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Research on Learning Resources Organization Model

机译:学习资源组织模型研究

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The paper studies the adaptive learning content organization model and algorithm, which takes knowledge point as a unit. At first, it defines granularity of learning object, designs learning content level framework, which takes knowledge point as the meaning unit, builds up the reusable and sharable foundation of learning resources. The second is to provide the basic scheduling model for learning content organization. The model involves in pre-test, survey, knowledge point scheduling modules, summary, and post-test. Learning content scheduling algorithm is designed to choose learning content according to the learning content sequence, learner's styles, learning evaluating outcomes and application context. Lastly, the scheduling algorithm is proved effectiveness and stable in E-learning Service Platform.
机译:研究了以知识点为单位的自适应学习内容组织模型和算法。首先,它定义了学习对象的粒度,设计了以知识点为单位的学习内容层次框架,为学习资源建立了可重用和可共享的基础。第二是提供用于学习内容组织的基本调度模型。该模型涉及预测试,调查,知识点计划模块,摘要和后测试。学习内容调度算法旨在根据学习内容的顺序,学习者的风格,学习评估结果和应用环境来选择学习内容。最后,证明了该调度算法在在线学习服务平台上的有效性和稳定性。

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