Improvement of an online education model with the integration of machine learning and data analysis in an LMS


Abstract:

The events that took place in the year 2020 have shown us that society is still fragile and that it is exposed to events that rapidly change the paradigms that govern it. This has been shown by a pandemic like Coronavirus disease 2019; this global emergency has changed the way people interact, communicate, study, or work. In short, the way in which society carries out all activities has changed. This includes education, which has bet on the use of information and communication technologies to reach students. An example of the aforementioned is the use of learning management systems, which have become ideal environments for resource management and the development of activities. This work proposes the integration of technologies, such as artificial intelligence and data analysis, with learning management systems in order to improve learning. This objective is outlined in a new normality that seeks robust educational models, where certain activities are carried out in an online mode, surrounded by technologies that allow students to have virtual assistants to guide them in their learning.

Año de publicación:

2020

Keywords:

  • Analysis of data
  • Artificial Intelligence
  • Online education
  • Machine learning

Fuente:

googlegoogle
scopusscopus

Tipo de documento:

Article

Estado:

Acceso abierto

Áreas de conocimiento:

  • Ciencias de la computación

Áreas temáticas:

  • Ciencias de la computación
  • Educación
  • Tecnología (Ciencias aplicadas)