Innovation proposal during the COVID-19 pandemic through an educational web application.

Abstract

The general objective of this mixed research is to analyze the students' perceptions about the use of a web application for the educational process of the T-Test, considering data science. The participants are 18 students from the National Autonomous University of Mexico. The results of machine learning indicate that the web application positively influences the learning of mathematics, enthusiasm, and active role of the students; likewise, the decision tree technique identifies 3 predictive models on the use of this tool. In conclusion, technological advances allow universities together with teachers to update school activities under the distance modality and build new virtual educational spaces.