Predictive model of academic performance and learning based on methodological strategies in a Peruvian public university. (#604)

Authors

Herrera Farfán, José Alfredo

Jimenez Chinga, Regina

Zeta Vite, Adolfo

Abanto Cerna, Lemin

Jurado Rosas, Adolfo Antenor

Abstract

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 test the theoretical model, two questionnaires were applied to the students and teachers of the Faculty of Administrative Sciences and information was obtained on satisfaction with the academic indices used by the teachers. For the analysis, descriptive statistical techniques, model fit measures (absolute fit, incremental fit and parsimony fit) and multiple correlations were used. 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.