Assessment of students about the use of the Alcula application in the educational process through

Abstract

This mixed research analyzes the use of the Alcula application as a support tool in the educational process on the Box Plot through data science and machine learning. The sample consists of 34 students from the Bachelor of Administration, Commerce and Marketing who studied the Applied Basic Statistics subject in the 2017 school year. The results of machine learning (linear regression) indicate that the fast, simple and pleasant interface of Alcula positively influences the teaching-learning process on the Box Plot. On the other hand, data science allows building 3 predictive models about the use of the Alcula application by means of the decision tree technique. Likewise, the students are motivated and satisfied to use this technological tool in school activities. Finally, Alcula is an innovative and useful web application for the field of statistics.