Collaborative wall: Necessary web application to improve the teaching-learning conditions at the Faculty of Psychology?

Abstract

This mixed research analyzes the impact of the collaborative wall in the Faculty of Psychology considered data science and machine learning (linear regression). The collaborative wall is a web application that allows you to analyze and share information on the Internet during face-to-face sessions. The sample is 41 students from the National Autonomous University of Mexico (UNAM). The results of machine learning indicate that the use of the collaborative wall to share information positively influences the learning process and the participation of students with their team and their classmates. Finally, teachers can build new educational spaces and organize creative classroom activities through the collaborative wall.