Improvement of an Online Education Model with the Integration of Machine Learning and Data Analysis in an LMS

Improvement of an Online Education Model with the Integration of Machine Learning and Data Analysis in an LMS

William Villegas-Ch, Xavier Palacios-Pacheco, Milton Román-Cañizares

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.

2020

machine learning, artificial intelligence, online education, analysis of data

10.3390/app10155371

Epidemiology and Health

Korean Society of Epidemiology

Biology (General), Chemistry, Engineering (General). Civil engineering (General), Technology, Physics