大数据现象如何影响和改善电子学习过程

Karim Aoulad Abdelouarit, Boubker Sbihi, N. Aknin
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摘要

随着大数据的出现,对信息的利用已经成为一种直接和快速的行动,这使得人们对数据的可靠性和价值产生了许多疑问。然而,在线搜索引擎产生的数据是基于一个多变的海量环境,其中包含了各种各样的数据,来自不同的信息来源。事实上,在远程教育(e-Learning)领域,特别是在在线研究中,学习者面临着大量混合的数据,这些数据不是以有序的格式存在的,也不容易操作。这种数据的多样性代表了大数据中的第二个V。为了支持学习者搜索信息,建议设计一种专门的工具来组合这些大量和不同的数据,以便为学习者提供适当的结果。本文对阿联酋(Abdelmalek Essaadi University)学生在大数据环境下使用在线研究的现状进行了描述性研究,并强调了这种现象对学习和科学研究的优势和影响。
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How Big Data Phenomenon Impact and Improve the e-Learning Process
With the emergence of Big Data, the exploitation of information has become such a direct and rapid action that many questions arise about the reliability and value of data. However, the data raised by online search engines is based on a varied and massive environment, which includes varied data and from different sources of information. Indeed, in the field of distance education (e-Learning) and in particular during online research, the learner is faced with a massive mixture of data which does not exist in an ordered format and which is not easy to operate. This variety of data represents the second V in Big Data. In order to support learners in their search for information, it is proposed to design a specialized tool to combine these massive and varied data so that they can provide the appropriate result to the learner. This article deals with the descriptive study of the current state of the use of online research in the Big Data environment by the students of the UAE (Abdelmalek Essaadi University), and to highlight the advantages and impacts of this phenomenon on learning and scientific research.
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