Big Data, the Next Step in the Evolution of Educational Data Analysis

  • W. Villegas-Ch
  • Sergio Luján-Mora
  • Diego Buenaño-Fernandez
  • X. Palacios-Pacheco
Conference paper
First Online:
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 721)

Abstract

This paper presents an analysis of new concepts such as big data, smart data and a data lake. It is to sought integrate learning management systems with these platforms and contribute to education by making it personalised and of quality. For this study, the data and needs of a university in Ecuador have been considered. This university has set its goals to the discovery of patterns, using data mining techniques applied to cubes generated in a data warehouse. However, the institution wants to integrate all the systems and sensors that contribute to the educational development of the student. Integrating more systems into the data warehouse has compromised the veracity of the data and the processing capabilities have been surpassed by the volume of data. The paper proposes the use of one of the platforms analysed and its tools to generate knowledge and to help the students to learn.

Keywords

Analysis of data Big data Data lake Data mining Data warehouse Smart data 
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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • W. Villegas-Ch
    • 1
  • Sergio Luján-Mora
    • 2
  • Diego Buenaño-Fernandez
    • 1
  • X. Palacios-Pacheco
    • 3
  1. 1.Facultad de Ingeniería y Ciencias AgropecuariasUniversidad de Las AméricasQuitoEcuador
  2. 2.Departamento de Lenguajes y Sistemas InformáticosUniversidad de AlicanteAlicanteSpain
  3. 3.Departamento de SistemasUniversidad Internacional del EcuadorQuitoEcuador

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