Determination of contents based on learning styles through artificial intelligence

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.

• Autores: Silva, Jesus; Hernandez, Lissette; Romero, Jenny; Varela, Noel; Hernández Palma, Hugo Gaspar; ORELLANO LLINAS, NATALY; Florez, Yasmin; Vargas Mercado, Carlos
• Tipo de recurso: http://purl.org/coar/resource_type/c_816b
• Fecha de publicación: 2020
• Institución: Corporación Universidad de la Costa
• Repositorio: REDICUC - Repositorio CUC
• Idioma: eng
• OAI Identifier: oai:repositorio.cuc.edu.co:11323/6196
• Acceso en línea: https://hdl.handle.net/11323/6196; https://repositorio.cuc.edu.co/
• Palabra clave: Artificial intelligence; Neural networks; Learning styles
• Rights: openAccess
• License: CC0 1.0 Universal