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引用次数: 5

摘要

实现自适应在线学习环境的前提是充分考虑个人的现有知识及其在课程领域和学习管理方面的学习特征。因此,在学习过程的诊断和形成性控制、评价和评估中,以网络使用挖掘为有效手段,具有特殊的意义。教育技术与多媒体是技术教师培训的一门课程,是本研究的基础。通过网络挖掘方法的应用,我们试图找到以下问题的答案:是否可以从在线学习活动的模式中得出关于首选学习特征、方法和策略的任何结论,以及是否可以定义在线学习行为的主要变量。
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Adaptive online learning environment and web usage mining
The realization of an adaptive online learning environment presupposes the full consideration of the existing knowledge of the individual and their learning characteristics both in the area of course as well as learning management. Therefore during the learning process diagnostic and formative control, evaluation and assessment, with web usage mining as an efficient means, has a special significance. Educational technology and multimedia, a course in technical teacher training, formed the basis of the study. By the application of web mining methods we were trying to find an answer to the question whether any conclusions from the patterns of online learning activities were to be drawn as to preferred learning characteristics, methods and strategies and also whether the major variables of online learning behavior were possible to define.
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