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.
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Villegas-Ch, W., Luján-Mora, S., Buenaño-Fernandez, D., Palacios-Pacheco, X. (2018). Big Data, the Next Step in the Evolution of Educational Data Analysis. In: Rocha, Á., Guarda, T. (eds) Proceedings of the International Conference on Information Technology & Systems (ICITS 2018). ICITS 2018. Advances in Intelligent Systems and Computing, vol 721. Springer, Cham. https://doi.org/10.1007/978-3-319-73450-7_14
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