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基于数据挖掘的个性化学习模式研究 被引量:11

Research on personalized learning model based on data mining
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摘要 将数据挖掘应用于网络教育领域,是教育技术发展的必然趋势。基于数据挖掘技术的个性化学习支持系统,在学习过程中为学习者提供个性化的学习内容、学习指导和学习资源,并支持其认知过程。文中从数据挖掘技术与个性化学习的关系出发,探讨了数据挖掘技术在个性化学习中应用领域,系统地分析了数据挖掘的主要技术及其在个性化学习各个环节的作用。 It is an inexorable trend of the educational technical development that data mining is applied in network education field. Personalized learning support system based on data mining technology provides the learners with personalized learning content, learning instruction and learning resources, and supports their cognitive processes when ther are studing. Starting from the relation between data mining technology and personalized learning, this paper discusses the application area of data mining in personalized learning, analyses systematically the main technology of data mining as well as their roles in each link of personalized learning.
作者 陈超
出处 《电子设计工程》 2013年第12期18-20,23,共4页 Electronic Design Engineering
基金 辽宁省"十二五"教育科学规划课题资助项目(项目编号:JG12DB206)
关键词 个性化学习 数据挖掘 远程教育 网络辅助教学系统 personalized learning data mining distance education network-aided instruction system
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