ICPS
2019 International Convention of Psychological Science · 2019
Identifying Reliable Predictors of Math Performance through Machine-Learning Predictive Modeling.
- Mariel Musso
UADE - Mariel Musso
CONICET/ University of Granada - Eduardo Cascallar
KU Leuven - Neda Bostani
World Bank Group - Michael F. Crawford
World Bank Group
Abstract
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.
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