Use and analysis of the collaborative wall in the teaching-learning process on history considering data science

Abstract

This mixed research analyzes the use of the collaborative wall in the teaching-learning process on History considering data science and machine learning (linear regression). The sample is made up of 74 students from the National Preparatory School No. 7 "Ezequiel A. Chávez" who took the History course during the 2019 school year. The collaborative wall is a web application that facilitates the participation of students during the face-to-face sessions through the dissemination and organization of information on the Internet. During the face-to-face sessions, the students used mobile devices to share images and text through this web application. The results of machine learning indicate the dissemination and organization of information on the collaborative wall positively influence the participation of the students in the classroom, motivation and learning process on the characteristics of society during the sixteenth to eighteenth centuries. Data science identifies 6 predictive models on the use of the collaborative wall through the decision tree technique. Finally, the collaborative wall facilitates the construction of new educational spaces where students have the main role during the learning process on History.