Using Deep Learning to analyze an educational web application on statistics.

  • Ricardo-Adán Salas-Rueda Universidad Nacional Autónoma de México
  • Joanna-Lizeth Sánchez-Rangel Universidad Nacional Autónoma de México
  • Selene-Marisol Martínez-Ramírez Universidad Nacional Autónoma de México
  • Jesús Ramírez-Ortega Universidad Nacional Autónoma de México
  • Ricardo Castañeda-Martínez Universidad Nacional Autónoma de México
  • Ana-Libia Eslava-Cervantes Universidad Nacional Autónoma de México
  • Clara Alvarado-Zamorano Universidad Nacional Autónoma de México
Keywords: web application, teaching, learning, data science, machine learning

Abstract

The general objective of this mixed research is to analyze the students' perceptions about the use of the Educational Web Application on Statistics (AWEE), considering Data Science. This technological tool uses a web simulator to improve the teaching-learning process on the T Test. The results of the Deep Learning algorithm indicate that the web interface and aesthetics of the AWEE application positively influence student motivation and learning during the pandemic. COVID-19; Likewise, the Decision Tree algorithm allowed determining the predictive conditions of this technological tool. Finally, technological advances facilitate the organization and implementation of new school activities in order to improve teaching-learning conditions.

Published
2023-01-01