Análisis sobre las plataformas LMS considerando el deep learning y random forest

Ricardo-Adán Salas-Rueda

doi:10.12795/revistafuentes.2024.24123

Authors

Ricardo-Adán Salas-Rueda Universidad Nacional Autónoma de México (México) http://orcid.org/0000-0002-4188-4610

DOI:

https://doi.org/10.12795/revistafuentes.2024.24123

Keywords:

Technology, Teaching, Information technology, Teaching methods, Education, Learning, Educational technology, Multimedia instruction

Abstract

Today, educators rely on technology to offer students new learning environments. The aim of this mixed study is to analyze the perception of the students about the use of the LMS platforms during the post-pandemic COVID-19 through the deep learning and random forest algorithms. The results of the deep learning algorithm indicate that the use of LMS platforms positively affects the analysis and use of the school information, autonomy and exchange of ideas during the learning process. Likewise, the random forest algorithm allowed the construction of three models on this technological tool considering the profile of the students. The limitations of this quantitative and qualitative research are the sample and dependent variables. Therefore, future research can analyze the use of the LMS platforms during the COVID-19 post-pandemic considering the active role of the students, development of skills and assimilation of the knowledge in various schools, colleges and institutes. The implications of this study are related to the use of LMS platforms to eliminate the physical barriers, promote the personalized learning and update the activities in the distance modality. In conclusion, educators should include the LMS platforms in the planning of the courses in order to facilitate the learning process.

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References

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