CIIPME 05517
CENTRO INTERDISCIPLINARIO DE INVESTIGACIONES EN PSICOLOGIA MATEMATICA Y EXPERIMENTAL DR. HORACIO J.A RIMOLDI
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Identifying reliable predictors of math performance through machine-learning predictive modeling.
Autor/es:
MUSSO, M. F. ; CRAWFORD, M.; CASCALLAR, E. C.; BOSTANI, N.
Lugar:
Paris
Reunión:
Congreso; International Convention of Psychological Science (ICPS 2019); 2019
Institución organizadora:
Association for Psychological Science (APS)
Resumen:
The objective was to develop valid and accurate models predicting low and high levels of math performance, using machine-learning algorithms, as part of an international large-scale project in primary education in Vietnam. Interesting patterns of variables have been identified for both levels, providing a guide for more focused educational interventions.
