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    人工智能支持下的智慧学习模型构建研究

    Research on Construction of Smart Learning Model Supported by Artificial Intelligence

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【作      者】:

钟 卓, 钟绍春, 唐烨伟


【关 键 词 】:

智慧学习; 人工智能; 模型构建; 知识图谱; 学习路径


【栏      目】:

学习环境与资源


【中文摘要】:

智慧学习是人工智能时代教育的基本内涵,智慧学习模型构建是实施智慧学习的关键和基础,也是该领域研究中的瓶颈问题。文章针对智慧学习内在机理难以表征的问题,利用人工智能技术,提出了能够阐述智慧学习特征、要素及运行机制的智慧学习E-GPPE-C模型。该模型由学习环境、教育知识图谱、学习者画像、学习路径、学习评价、学习共同体六大核心要素和基础层、支撑层、服务层、关键层、应用层五个层面构成。基于人工智能相关算法,从教育知识图谱构建、学习者画像构建、学习共同体构建、学习路径推荐四个方面,提出了E-GPPE-C模型的实现方法。研究为人工智能在教育领域应用、智慧学习开展提供了基础,为后续智慧学习模型研究提供了参考。


【英文摘要】:

Smart learning is the basic connotation of education in the era of artificial intelligence. The construction of smart learning model is the key and foundation of the implementation of smart learning, and also the bottleneck problem in the research of this field. Aiming at the problem that the internal mechanism of smart learning is difficult to represent, this paper proposes an E-GPPE-C model of smart learning, which can explain the characteristics, elements and operation mechanism of smart learning by using artificial intelligence technology. The model consists of six core elements, namely, learning environment, educational knowledge map, learner portrait, learning path, learning evaluation, learning community, and five layers, namely, basic layer, support layer, service layer, key layer and application layer. Based on the algorithm of artificial intelligence, this paper proposes the implementation method of E-GPPE-C model from four aspects of the construction of educational knowledge map, the construction of learner portrait, the construction of learning community and the recommendation of learning path. The research provides a basis for the application of artificial intelligence in the field of education and the development of smart learning, as well as a reference for the follow-up research of smart learning model.

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