Characterization of the Performance of Higher Education Students in a Constructivist Learning Based on Two-Factor Analysis Using Inferential Statistics

Abstract

This study analyzes the level of performance of higher education students in constructivist learning in research based on a two-factor analysis using inferential statistics. In the development of the process, use is made of statistical data organized in tables, carrying out double hypothesis tests in a characterization at the National University of Callao on students from the Faculty of Fisheries and Food Engineering. The National University of Callao is a public institution with a large percentage of students from other nearby and even distant districts from Lima and Callao in Peru. The investigation with inferential statistics, seven tests and statistical results led us to conclude that it is possible to improve the performance of higher education students through constructivist learning since only 5% of the total students failed to improve their performance