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Tracking system based on traces analysis and SVM classification

机译:基于跟踪分析和支持向量机分类的跟踪系统

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For several years, the Moroccan universities have put themselves in the digital technology with an increasingly sustained development of the elearning. In this context, we have adopted a blended learning approach to support the facetoface learning in the school of law and economics at Meknes. The success of such learning system is based on a good learners tracking by a tutor who needs accurate and aggregated information’s to identify learners who need support to progress in their learning path. We propose in this paper a tracking system based on traces analysis and classification with SVM. This system is composed of several web services.
机译:几年来,随着高校电子学习的持续发展,摩洛哥大学将自己投入到了数字技术中。在这种情况下,我们采用了混合学习方法来支持梅克内斯法学院的面对面学习。这样的学习系统的成功是基于一个优秀的学习者,该学习者由需要准确和汇总信息的导师跟踪,以识别需要支持以促进其学习道路发展的学习者。在本文中,我们提出了一种基于跟踪分析和SVM分类的跟踪系统。该系统由几个Web服务组成。

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