A Cloud Computing for the learner’s usage tracks analysis

نویسندگان

  • Mariem Chaabouni
  • Mona Laroussi
چکیده

We present in this paper the definition of a collaborative and cooperative platform, exploited through the Cloud, for analyzing learners tracks and managing indicators in educational scenarios. This paper describes the architecture and the design proposed for the platform, then it evocates the related security aspect. Finally, a test scenario is described to demonstrate the platform functionalities. Keywords-CEHL (Computer Environment of Human Learning); pedagogical indicators; tracks analysis; Cloud Computing; web services

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تاریخ انتشار 2012