Determination of Contents Based on Learning Styles Through Artificial Intelligence

  • Jesus Silva
  • Lissette Hernandez
  • Jenny Romero
  • Noel Varela
  • Hugo Hernández Palma
  • Nataly Orellano Llinás
  • Yasmin Florez
  • Carlos Vargas Mercado
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 637)


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.


Artificial intelligence Neural networks Learning styles 


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© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Jesus Silva
    • 1
  • Lissette Hernandez
    • 2
  • Jenny Romero
    • 3
  • Noel Varela
    • 3
  • Hugo Hernández Palma
    • 4
  • Nataly Orellano Llinás
    • 5
  • Yasmin Florez
    • 5
  • Carlos Vargas Mercado
    • 4
  1. 1.Universidad Peruana de Ciencias AplicadasLimaPeru
  2. 2.Universidad del AtlánticoPuerto ColombiaColombia
  3. 3.Universidad de la Costa (CUC)BarranquillaColombia
  4. 4.Corporación Universitaria LatinoamericanaBarranquillaColombia
  5. 5.Corporación Universitaria Minuto de Dios—UNIMINUTOBarranquillaColombia

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