Big data: a distributed storage and processing for online learning systems Online publication date: Mon, 30-Sep-2019
by Karim Dahdouh; Ahmed Dakkak; Lahcen Oughdir
International Journal of Computational Intelligence Studies (IJCISTUDIES), Vol. 8, No. 3, 2019
Abstract: The new information and communication technologies have changed the way of teaching and learning. In particular, the big data technology that has recently been developed to overcome the limitations of traditional systems of storage, processing, and analysis. It offers a rich set of new technologies and techniques to bring solutions to various educational problems such as the courses recommendation engine, the prediction of learner behaviour, etc. This article presents the big data paradigm, its components, technologies, and characteristics. It proposes an approach for incorporating big data, online learning systems, and cloud computing in order to enhance the efficiency of the distance learning environment. Also, it provides a methodology to store and process the data produced by online learning platforms using advanced big data technologies and tools. Moreover, it explores the advantages and benefits that big data offer to students, teachers and online learning professionals.
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