Recommendation Systems in Education: A review of Recommendation Mechanisms in E-learning Environments

  • Paola Andrea Otero Cano CreaTIC Technological Development Center
  • Edgar Camilo Pedraza Alarcón Centro de Desarrollo Tecnológico Cluster Creatic https://orcid.org/0000-0002-4582-2425
Keywords: education, e-learning, environments, learning styles, machine learning, MOOC

Abstract

In recent years, new trends and methodologies have emerged that greatly favor the education sector. E-learning as an alternative to regular teaching and learning processes has transformed the educational dynamics thanks to the inclusion of MOOCs, personal learning environments, allowing the educational process to be carried out at a personalized level where the focus is on learning styles and the profile of the student. This article presents a review of current works around machine learning mechanisms to make recommendations in the educational environment, where it is found that besides the discovery of the student’s learning style, it is important to know their level of knowledge and learning speed, in addition to the tools used by the student to carry out their studies. Finally, the opportunity for implementation and research of these issues in Colombia is highlighted. 

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  • Author Biographies

    Paola Andrea Otero Cano, CreaTIC Technological Development Center

    Electronics and Telecommunications Engineer from the University of Cauca, Technical Specialist in the
    Development of Applications for mobile devices, MSc (c) with emphasis on systems and computing, data analyst
    and researcher in the technology and innovation unit of the CreaTIC Technological Development Center

    Edgar Camilo Pedraza Alarcón, Centro de Desarrollo Tecnológico Cluster Creatic

    MSc in ICT Management from the Ramon Llull University of Barcelona, Electronics and Telecommunications
    Engineer from the University of Cauca, leads the Technology and Innovation Unit of the Creatic Development
    Center.

Published
2020-07-14
How to Cite
Otero Cano, P. A., & Pedraza Alarcón, E. C. (2020). Recommendation Systems in Education: A review of Recommendation Mechanisms in E-learning Environments. Revista Ingenierías Universidad De Medellín, 20(38), 147-158. https://doi.org/10.22395/v20n38a9

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