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Applying Learning Analytics in an Open Personal Learning Environment: A Quantitative Approach

机译:在开放的个人学习环境中应用学习分析:定量方法

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Every activity in the web leaves a digital trace. Analytics are used to measure all gathered traces along with the activities and the traffic that a user provokes, aiming to exploit the application-under-analysis with an optimal way in terms of time and cost. As a result, the question about how are they applied into learning environment, raises. This paper discusses analytics dedicated to the learning process named learning analytics. After presenting their context, and a literature review regarding this relatively new term, this paper presents a methodology that is applied the academic year 2011-12 on HOU2LEARN Environment, an open educational environment set by Hellenic Open University. This methodology consists of social network analysis along with a set of metrics that is also presented. The procedure and the outcomes of this ongoing research so far are discussed.
机译:网络中的每项活动都会留下数字痕迹。分析用于测量所有收集的跟踪以及用户引发的活动和流量,旨在以最佳方式在时间和成本上利用应用程序不足。结果,提出了有关如何将其应用于学习环境的问题。本文讨论专门用于学习过程的分析,称为学习分析。在介绍了它们的上下文并就此相对较新的术语进行了文献综述之后,本文提出了一种方法,该方法适用于2011-12学年HOU2LEARN Environment,这是由希腊开放大学设置的开放式教育环境。该方法包括社交网络分析以及一组指标。到目前为止,正在进行的研究的过程和结果进行了讨论。

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