Project description
Calculating new ways to beat math difficulties
Math learning difficulties are common, but the reasons for their emergence vary greatly. Therefore, a more integrative understanding of early math development and pathways to math difficulties (MD) is important. The EU-funded EARLYMATH project will investigate the roles of individual factors (neural, cognitive, affective, and motivational) as well as environmental factors (in the home, at early childhood education, care centres and schools). Using cognitive assessments of children and their parents, as well as parental and teacher questionnaires, interviews, parent-child and classroom observations, the project will inform theory and preventive practices by shedding new light on the dynamics of the relevant factors in early math development.
Objective
EARLYMATH is an early-onset longitudinal research program with multiple longitudinal studies that cover birth to nine years of age in order to pursue an integrative understanding of early math development and pathways to math difficulties (MD). EARLYMATH investigates the roles of individual factors (i.e. neural, cognitive, affective and motivational), as well as environmental factors in the home and early childhood education and care (ECEC) and processes of intergenerational transmission of MD. A carefully selected range of measures, including cognitive assessments, parental and teacher questionnaires, interviews, parent-child and classroom observations, and brain electrophysiology measures, will be used. The findings will produce novel understanding of the dynamics of the environmental and constitutional factors that affect the development of early-onset developmental difficulties, as well as inform theory and preventive and remediation practices.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. This project's classification has been validated by the project's team.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. This project's classification has been validated by the project's team.
Keywords
Programme(s)
Funding Scheme
ERC-COG - Consolidator GrantHost institution
40100 Jyvaskyla
Finland