E-learning Web Miner: A data mining application to help instructors involved in virtual courses
Diego García-Saiz and Marta Zorrilla
In: 4th International Conference on Educational Data Mining, 6-8 July 2011, Eindhoven, The Neederlands.
In this demo we present a data mining application, called E-learning Web Miner (ElWM), which aims to help instructors involved in distance education to discover their students’ behavior profiles and models about how they navigate and work in their virtual courses which are offered in Learning Content Management Systems. The main characteristic is that the users do not require data mining knowledge to use ElWM, they only have to send a data file according to one of the templates provided by the application and request the results. The application carries out the Knowledge Discovery in Database (KDD) process itself. Furthermore, the application provides an interface based on web services which allow its integration and use by any external software.
|EPrint Type:||Conference or Workshop Item (Poster)|
|Project Keyword:||Project Keyword UNSPECIFIED|
|Subjects:||Theory & Algorithms|
|Deposited By:||Diego García-Saiz|
|Deposited On:||21 February 2012|