CIIPME 05517
CENTRO INTERDISCIPLINARIO DE INVESTIGACIONES EN PSICOLOGIA MATEMATICA Y EXPERIMENTAL DR. HORACIO J.A RIMOLDI
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Underpinnings of complex problem solving: A machine-learning approach to study the effects of cognitive variables, perseverance, openness and background.
Autor/es:
GONZALEZ CAINO, P.; CASCALLAR, E. C.; MUSSO, M. F.; GREIFF, S.; MUSTAFIC, M.
Reunión:
Conferencia; 2017 International Convention of Psychological Science (ICPS); 2017
Institución organizadora:
Association for Psychological Sciences (APS)
Resumen:
Complex problem solving (CPS) has been identified as a necessary skill in modern society. This study utilized a neural network approach to develop models predicting the performance of first-year university students in several dimensions of CPS, examining the contribution of complex interactions of working memory, attention, perseverance, openness and background.
