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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的建设

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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,内置的美术教学资源的数量和点击率迅速增加,但基于传统在线学习系统的许多资源数据库,单一的侧重于“命中”的教学路径,减少到“材料中心”等问题,以及之前的学生很难在庞大的资源库中找到适合自己的学习资源和学习路线的方法,本研究通过收集大量的日志数据,在数据挖掘技术的基础上进行细化文科专业学习中学习行为数据的过程中,通过对人工智能算法的研究分析,构造特征模型,推荐学习路径,对象,有效利用已建立的在线学习系统,提高学习者的学习效率。

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