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Design of Intelligent Guidance System for Distance Art Education in Colleges and Universities Based on the Integration of Current Information Literacy Model

机译:基于当前信息素养模型集成的高校远程美术教育智能指导系统设计

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In this paper, a kind of Intelligent Guidance System and intelligent tutoring system for distance art education in colleges and universities based on the integration of current information literacy model (CILM) is put forward. The directed stochastic network based on the category marker variables is constructed so that the effect of the distance art learning in colleges and universities can be greatly enhanced. In addition, the correlation between the marker classifier and literacy can allow more precise literacy correlation accomplished from the long distance art learning in colleges and universities. In combination with 20 benchmark data sets, different evaluation criteria are adopted. And the final research results show that CILM is more superior to the proposed distance art education in colleges and universities.
机译:本文提出了一种基于当前信息素养模型(CILM)集成的高校远程美术教育智能指导系统和智能辅导系统。构建了基于类别标记变量的有向随机网络,可以大大提高高校远程艺术学习的效果。另外,标记分类器与识字之间的相关性可以允许从大学中的远程艺术学习中实现更精确的识字相关性。结合20个基准数据集,采用了不同的评估标准。最终的研究结果表明,CILM优于拟议的大学远程艺术教育。

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