Systematic Review of Evidence on Data Mining Applied to LMS Platforms for Improving E-learning
William Villegas-Ch, Sergio Luján-Mora
Proceedings of the 11th International Technology, Education and Development Conference (INTED 2017), p. 6537-6545, Valencia (Spain), March 6-8 2017. ISBN: 978-84-617-8491-2. https://doi.org/10.21125/inted.2017.1510
(INTED'17)
Congreso internacional / International conference
Resumen
This article examines the work on the application of data mining tools in learning management systems (LMS). The purpose of this paper is to introduce the concept of rigorous reviews of current empirical evidence to the educational data mining community (EDM). This paper proposes a method to extract information from records, analyze them statistically and interpret that information into useful knowledge; this includes how they interact with regard to positive impacts, especially with regard to learning and improving the skills of those involved. This work is aimed at researchers who focus their studies on E-learning and the use of data mining tools.