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The Construction of Teaching Resource System of Fine Arts Based on Big Data

机译:基于大数据的美术教学资源系统构建

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In recent years, the number of built in fine arts teaching resource and click-through rates increased rapidly, but many resources database based on the traditional online learning system, teaching paths of a single, one-sided emphasis on “hits”, reduced to “material center” and other issues, and students before that the huge resource repository is difficult to find suitable for their own learning resources and learning route, this study by collecting large amounts of log data, based on the technology of data mining in the fine arts professional learning in the process of learning behavior data, through the study of artificial intelligence algorithm analysis to construct characteristic model, to recommend learning path, the object, Effectively use the established online learning system to improve the learning efficiency of learners.
机译:近年来,内置美术教学资源和点击率的数量迅速增加,但许多资源数据库基于传统在线学习系统,教学路径单一,片面强调“命中”,减少了 “材料中心”等问题,以及学生们之前难以找到适合自己的学习资源和学习路线的巨大资源存储库,本研究通过收集大量的日志数据,基于数据挖掘的技术罚款 艺术专业学习在学习行为数据的过程中,通过研究人工智能算法分析来构建特征模型,建议学习路径,对象,有效地利用既定的在线学习系统,提高学习者的学习效率。

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