Business Intelligence applied to Learning Analytics in student-centered learning processes.
Guido Riofrio$^{1}$, Angel Encalada$^{1}$, Daniel Guamán$^{1}$, Jose Aguilar$^{1,2}$
$^{1}$Universidad Técnica Particular de Loja. Loja Ecuador,
$^{2}$Universidad de Los Andes. Mérida Venezuela
email: geriofrio@utpl.edu.ec, aeencalada@utpl.edu.ec, daguaman@utpl.edu.ec, aguilar@ula.ve

Schedule:Thu 22st@11:15, Room: B

This work aims to evaluate the use of Learning Analytics (LA) in Higher Education; students, and attributes such as: profile, interactions in a virtual learning environment learning - for this use business intelligence paradigm in order to explore and exploit the data from one of the actors in the educational process is analyzed, test scores, among others, which will contribute to their educational success. In particular, this paper tries to answer the following specific objectives: To identify factors that influence the decision of a college student distance learning to abandon their studies and get the profile of potentially susceptible students from their university studies. To meet this purpose we define two analysis tasks learning and use a business intelligence methodology to implement it.

BibTex

@InProceedings{CLEI-2015:144386,
	author 		= {Guido Riofrio and Angel Encalada and Daniel Guamán and Jose Aguilar},
	title 		= {Business Intelligence applied to Learning Analytics in student-centered learning processes.},
	booktitle 	= {2015 XLI Latin American Computing Conference (CLEI)},
	pages 		= {567--576},
	year 		= {2015},
	editor 		= {Hector Cancela and Alex Cuadros-Vargas and Ernesto Cuadros-Vargas},
	address 	= {Arequipa-Peru},
	month 		= {October},
	organization 	= {CLEI},
	publisher 	= {CLEI},
	url 		= {http://clei.org/clei2015/144386},
	isbn 		= {978-1-4673-9143-6},
	}