Determination of contents based on learning styles through artificial intelligence

Date
2020-03-05
2020-03-05
Author
Silva, Jesus
Hernandez, Lissette
Romero, Jenny
Varela, Noel
Hernández Palma, Hugo Gaspar
ORELLANO LLINAS, NATALY
Florez, Yasmin
Vargas Mercado, Carlos
Metadata
Show full item record
Show full item record
Abstract
The study presents the development of a platform for structuring adaptive courses based on active, reflexive, theoretical and pragmatic learning styles using artificial intelligence techniques. To this end, the following phases were followed: search, analysis and classification of information about the process of generating content for courses; analysis and coding of the software component for generating content according to learning styles; and application of tests for validation and acceptance. The main contribution of the paper is the development of a model using neural networks and its integration in an application server to determine the contents that correspond to the active, reflexive, theoretical and pragmatic learning styles.
Collections