ABSTRACT
SARS-CoV-2 virus has caused universities to update their courses in the distance modality. The general aim of this mixed research was to build and analyse the use of a web application for the educational process about the t-test considering data science. In particular, the professor of the Teaching of Mathematics II course needed to update the school activities because of the new educational demands caused by the COVID-19 pandemic. To facilitate the educational process of math, this teacher decided to build a web application that presents the formulas and calculation of the mean, standard deviation and statistical error to understand the use of the t-test. This technological tool allows the personalisation of learning through the simulation of data. The participants were 42 students from a Mexican university. The results of machine learning indicated that the contents of the web application positively influenced the assimilation of knowledge, satisfaction during the learning process, development of mathematical skills and learning in the distance modality. The decision tree technique allows the construction of four (4) predictive models about the use of the web application for the educational process about the t-test. Finally, educators have the opportunity to improve the teaching-learning conditions during the SARS-CoV-2 virus through the design and construction of web applications. © 2022, Commonwealth of Learning. All rights reserved.
ABSTRACT
This article studies the modalities of social protests that Calelio citizens deployed during the implementation of restrictive measurements of confinement to combat Covid 19 from 17 March to 31 August 2020. The article focuses on describing four aspects of the social protests. First, it describes the collective actors involved in the protest. Second, it analyzes the repertoire of collective actions that calefio citizens developed during the restrictive measurements. Third, it identifies the geographic distributions of the protests;and fourth, its rhythms.