GRAPHICAL ANALYSIS OF THE BEHAVIOR OF VARIOUS NUMERICAL SEQUENCES THROUGH THEIR MATHEMATICAL REGRESSION EQUATIONS: A TEACHING AND LEARNING PROCESS OF MATHEMATICS IN A COMPUTATIONAL ENVIRONMENT

Abstract

Nowadays, there is an increasing need to develop means in educational practice so that the theory studied is directly correlated with the instruments of the 21st century. Technological transformation in the modern world requires that the school be prepared for new challenges in the educational process and especially in the teaching and learning methodology of mathematics. This work investigates the behavior of some mathematical numerical sequences known through a regression study using Trend Lines generated by the Excel 2003 software. Methodologically, the work consists of generating a set of data that can analyze the behavior of the numerical sequences establishing a better equation. fit math. The contribution of this work is quite significant for the area of ​​educational technology and in the process of teaching and learning mathematics, as it relates important numerical sequences in mathematics with regression equations that best approximates the ideal model. In view of this, it is hoped that this work can generate necessary stimuli so that other researchers can seek educational practices that strengthen the teaching and learning process of mathematics with the purpose of generating knowledge and knowledge.