Multivariate model of factors associated with attitude towards learning in students of a public university in Peru, 2023

Edwin Perez-Samanamud M.; Perez-Guevara L.; Riveros-Cuellar A.; Vladimir Perez-Samanamud M. · Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology (2025) · DOI: 10.18687/laccei2025.1.1.1660

Resumen

The purpose of this research was to evaluate through a multivariate model the factors associated with the attitude towards learning in students of a Public University of Peru, 2023, using an instrument consisting of 31 questions validated through confirmatory factor analysis (CFA). Methodologically it is observational, with a population of 800 and a sample of 505, transversal and analytical. The following results were obtained: the three constructs associated with attitude towards learning were: learning methodology (0.54) contributed the most in terms of factor loadings, followed by motivation to learn (0.24) and finally the usefulness of the subject (0.13). No significant association was found between teacher suitability and attitude towards learning, controlling variables through multivariate analysis (multiple linear regression and structural equations). Multiple linear regression and then the Structural Equations Model (SEM) were applied, with the latter being the best model due to the validatio.

Instituciones: Universidad Nacional Federico Villarreal