Mobile devices and Collaborative wall: Media to innovate the teaching learning process on social sciences?

Abstract

The objective of this mixed research (quantitative and qualitative) is to analyze the impact of mobile devices (tablets) and the collaborative wall as media in the educational process on the social sciences through data science and machine learning (linear regression). The collaborative wall is a web application that allows working collaboratively through the use of images and text on the Internet. The sample was made up of 72 students from the National Preparatory School No. 7 "Ezequiel A. Chávez" who took the "Introduction to the Study of Social and Economic Sciences" course during the 2019-2020 school year. The quantitative approach analyzed the impact on the use of the collaborative wall and mobile devices using the Rapidminer tool (machine learning and data science). The qualitative approach analyzed the students' perceptions about the use of technology. The results of machine learning indicate that the use of the collaborative wall and mobile devices (tablets) as media positively influenced the motivation and interest of the students during the learning process on migration. Data science identified four predictive models through the decision tree technique. Finally, technology allows building new educational experiences in the 21st century.