从用户流量分析电子学习平台特征

M. M. Cristian, B. D. Dan
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引用次数: 0

摘要

设计并实现了一个电子学习平台。该平台内置了监控和记录用户行为的功能。对于用户来说,平台上执行的所有操作都代表他的活动。所有用户的活动构成了平台的活动。基于平台的活动数据,我们为我们的电子学习平台引入了服务质量(QoS)的属性。两个参数定义了QoS:学生的学习能力和平台的分类能力。机器学习和建模技术评估我们的平台或任何其他电子学习系统的参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
E-Learning Platform Characterization from User Trafic
An e-Learning platform has been designed and implemented. The platform has built in capabilities of monitoring and recording user's actions. For a user, all executed actions on the platform represent his activity. The activity of all users makes up platform's activity. Based on platform's activity data, we introduce an attribute for our e-Learning platform called Quality of Service (QoS). Two parameters define the QoS: learning proficiency of students and classification capability of the platform. Machine learning and modeling techniques evaluate the parameters for our platform or any other e-Learning system.
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