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Journal of Engineering and Applied Sciences

Use of Data Mining to Identify Trends between Variables to Improve Implementation of an Immersive Environment
Ronald Zamora-Musa and Jeimy Velez

Abstract: 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.

How to cite this article
Ronald Zamora-Musa and Jeimy Velez, 2017. Use of Data Mining to Identify Trends between Variables to Improve Implementation of an Immersive Environment. Journal of Engineering and Applied Sciences, 12: 5944-5948.

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