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Contribution of big data in E-leaming. A methodology to process academic data from heterogeneous sources

Abstract:

Big Data covers a wide spectrum of technologies, which tends to support the processing of big amounts of heterogeneous data. The paper identifies the powerful benefits and the application areas of Big Data in the on-line education context. Considering the boom of academic services on-line, and the free access to the educative content, a great amount of data is being generated in the formal educational field as well as in less formal contexts. In this sense, Big Data can help stakeholders, involved in education decision making, to reach the objective of improving the quality of education and the learning outcomes. In this paper, a methodology is proposed to process big amounts of data coming from the educational field. The current study ends with a specific case study where the data of a well-known Ecuadorian institution that has more than 80 branches is analyzed.