Predictive model of academic performance and learning based on methodological strategies in a Peruvian public university

Alfredo Herrera Farfán J.; Jiménez Chinga R.; Zeta Vite A.; Antenor Jurado Rosas A.; Abanto Cerna L. · Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology (2024) · DOI: 10.18687/laccei2024.1.1.604

Resumen

The study proposes to the academic community a model that explains the academic performance and learning (deep learning and superficial learning) of the students based on the learning process and that this in turn is explained by the methodological strategies. To contrast the theoretical model, a questionnaire was applied to the students of the Faculty of Administrative Sciences and information was obtained on satisfaction with the academic indexes used by teachers For the analysis, descriptive indicators and the SEM model was used, including measures of model fit (absolute fit, incremental fit and parsimony fit) and multiple correlations. The results confirm the proposal of the model, that is, academic performance and learning is mediated by the learning process; however, the final model does not present more evidence regarding surface learning.

Instituciones: Universidad Nacional de Piura; Universidad Tecnológica del Perú