TY  - JOUR
T1  - Use of Data Mining to Identify Trends between Variables to Improve
Implementation of an Immersive Environment
AU - Zamora-Musa, Ronald AU - Velez, Jeimy 
JO  - Journal of Engineering and Applied Sciences
VL  - 12
IS  - 22
SP  - 5944
EP  - 5948
PY  - 2017
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2017.5944.5948
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2017.5944.5948
KW  - Immersive environment
KW  -e-Learning
KW  - data mining
KW  -educational data mining
KW  -association rules mining
KW  -Colombia
AB  - Globally, the implementation of immersive environments for learning activities have been in constant
growth which indicates that their development must improve daily. For this reason, this study identifies trends
(co-occurrences) and relationships between variables associated with an immersive environment to improve
its implementation. Results were found which show that a good design of information guides, organization of
menus and useful instructions generates that the users enjoy using the immersive environment for learning and
foments recommendations of use to other users.
ER  -