Application of a data mining method in to LMS for the improvement of engineering courses in networks
William Villegas-Ch, Sergio Luján-Mora, Diego Buenaño-Fernández
Proceedings of the 10th International Conference of Education, Research and Innovation (ICERI 2017), p. 6374-6381, Seville (Spain), November 16-18 2017. ISBN: 978-84-697-6957-7. https://doi.org/10.21125/iceri.2017.1648
(ICERI'17d)
Congreso internacional / International conference
Resumen
The content management systems, provide education with tools that help manage resources and record activities as well as evaluation in the development and fulfilment of tasks by students. The tools that contribute to systems have become a subject of analysis by the areas of teach management that make up educational institutions. The analysis starts from a large amount of data generated in this systems, these data arouse the interest of institutions to look for patterns that help teachers to customize resources and improve education. Several of the proprietary or free management platforms have created modules or plugins with the ability to generate reports based on the available data of the activities performed. These modules have, to a certain extent, covered learning assessment needs. However, to make decisions for the improvement of e-learning, a broader analysis of the data is necessary with the use of tools that suitably fit the different platforms. The answer to this process is given by data mining, its characteristics allow to apply several methods and algorithms to the data where individuals share patterns or even draw projections of behaviour.