StrApMat

An alarming proportion (~20%) of children are from households with low socio-economic status (SES) and there is growing evidence to suggest that relative to children from high-SES families, children from low-income families are more likely to perform worse on cognitive and academic achievement tests, they are subject to increased behavioral and emotional problems, and present higher stress levels. This puts them at risk for higher academic and vocational failures, creating a significant educational, societal and economic burden. Critically, the cognitive, behavioral, and neural mechanisms underlying learning in children from low-SES backgrounds remain poorly understood and are grossly understudied. A foundational domain of academically-relevant learning is mathematics, which is essential for educational and professional success, and quantitative reasoning in everyday life. Weak mathematical skills are associated with poorer health outcomes, use of health resources, criminality and, overall represent a substantial cost to nations. Critically, math difficulties are widespread in children from low-SES backgrounds, and identifying targets for remediation have taken on great significance. Characterizing the adverse effects of biological and behavioral factors, such as stress, which can alter brain plasticity mechanisms in children with low-SES carries the potential to improve their learning outcomes. To this end, the overarching goal of the proposed Research Project is to use an innovative, multimodal research design that combines cognitive testing and training with biological measures of stress, and state-of-the-art brain imaging tools to investigate the behavioral, neurophysiological, and neurocognitive mechanisms underlying math learning and brain plasticity in children from low-SES. The proposed work is highly relevant to the mission of the ANR 2018 Work Program Challenge on «the fight against academic failure, failure in higher education and lifelong learning». Collectively, this research will provide unprecedented insights into the behavioral, cognitive and neurobiological basis of learning in children from low-SES backgrounds as well as launch a novel and highly interdisciplinary program of research dedicated to improving academic outcomes in children at risk for learning disabilities. Findings from this study will have major implications not only for informing best practices for the remediation of poor learning in low-SES, but also for determining sources of variability in mathematical learning with broad consequences for optimizing learning in all children, especially those from understudied and vulnerable groups. Finally, this Research Project has the potential to address a formidable societal and economic need, as improving mathematical education, especially for traditionally disadvantage groups is widely recognized as pivotal to long-term economic growth and security.