Title
Characterization of the performance of higher education students in a constructivist learning based on two-factor analysis using inferential statistics
Date Issued
19 July 2020
Access level
metadata only access
Resource Type
conference paper
Author(s)
Publisher(s)
Association for Computing Machinery
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.
Start page
57
End page
62
Language
English
OCDE Knowledge area
Estadísticas, Probabilidad
Ciencias de la educación
Subjects
Scopus EID
2-s2.0-85094188845
Resource of which it is part
ACM International Conference Proceeding Series
ISBN of the container
9781450388375
Sources of information:
Directorio de Producción Científica
Scopus