Design of a web application for the educational process about the use of logarithm in the field of financial mathematics

Abstract

This quantitative research aims at analyzing the impact of the Web Application for the Educational Process on Logarithm (AEL) through data science and machine learning (linear regression). The sample is composed of 29 students who studied the Basic Mathematics course in a Mexican university during the 2015 school year. The AEL presents the mathematical procedure on the use of the logarithm to find the time (number of years) during the application for a bank loan. The TPACK model allows the organization of the AEL through technological knowledge (PHP programming language), pedagogical knowledge (simulation strategy) and disciplinary knowledge (use of the logarithm in the field of financial mathematics). The results of machine learning with 50%, 60% and 70% training indicate that the AEL positively influences the assimilation of knowledge about the logarithm, development of mathematical skills and understanding of the theoretical concepts of the logarithm in the field of financial mathematics. Likewise, data science identifies three predictive models on the use of the AEL in the teaching-learning process. Finally, technology is transforming the interaction between the school content and students during the 21st century.