Grant: Discovery Grants Program - Individual
Carleton University
$40,000.00
""Mathematical Cognition: Effects of Educational Experience, Language, and Working Memory""
EF 2016-17
Résumé
Most people are confronted with decisions that require quantitative skills on a daily basis: Banking, cooking, and shopping are obvious examples, but math is also involved in health maintenance (weight loss, exercise), gambling, and in understanding world issues such as population control and climate change. Because people experience a daily barrage of quantitative data, understanding the cognitive processes that are involved and the variability of such processes across individuals is relevant to individuals' participation in society and thus is of immediate practical benefit. Theoretically, mathematics is a tractable domain in which to test theories about how, for example, thinkers are able to manage multiple mental tasks. My ongoing research program addresses questions about how people store and access their mathematical knowledge. The present proposal is focused on how people use limited mental resources to manage complex mathematical activities. Consider the following: You need to estimate the square footage of a room that measures 13 x 8.5 m. You have several options. You could use the solution algorithm taught in school. You could use a calculator. You might visualize the numbers and mentally calculate. Or, you could estimate by rounding 8.5 to 10 and responding with an approximate answer, ""about 130 square metres"". Which solution approach you choose will depend on the situation, on your mathematical competencies, and on the precision required for the answer. In my research, we combine arithmetical tasks with other tasks known to require specific mental resources to determine how people solve mathematical problems. For example, participants might be asked to remember visual or verbal information while solving the above problem and then we test how their mental processes are affected by the specific memory demands. I am particularly interested in individual differences in mathematics. Over the last 25 years, my research on mathematical cognition has provided insights into the flexibility and diversity of mental processes that adults use on numerical tasks. These insights and the further research described in this proposal will allow advances in our understanding of how people solve mathematical problems.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
41183-2012
Name nom
LeFevre, JoAnne
Department département
Psychology
Organization id
23
Institution établissement
Carleton University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2016
Competition year année de concours
2012
Award amount
40000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1502
Committee name en
Biological Systems and Functions
Committee name fr
Systèmes et fonctions biologiques
Area of application code
1103
Area of application group en
Health, education and social services
Area of application group fr
Santé publique, éducation et services sociaux
Area of application en
Learning and education
Area of application fr
Apprentissage et éducation
Research subject code
6304
Research subject group en
Psychology
Research subject group fr
Psychologie
Research subject en
Cognitive science -- fundamental
Research subject fr
Science cognitive -- principes fondamentaux
Partie
5
Nb partie
5
Application title
""Mathematical Cognition: Effects of Educational Experience, Language, and Working Memory""
Keyword
NSERC
Application summary
Most people are confronted with decisions that require quantitative skills on a daily basis: Banking, cooking, and shopping are obvious examples, but math is also involved in health maintenance (weight loss, exercise), gambling, and in understanding world issues such as population control and climate change. Because people experience a daily barrage of quantitative data, understanding the cognitive processes that are involved and the variability of such processes across individuals is relevant to individuals' participation in society and thus is of immediate practical benefit. Theoretically, mathematics is a tractable domain in which to test theories about how, for example, thinkers are able to manage multiple mental tasks. My ongoing research program addresses questions about how people store and access their mathematical knowledge. The present proposal is focused on how people use limited mental resources to manage complex mathematical activities. Consider the following: You need to estimate the square footage of a room that measures 13 x 8.5 m. You have several options. You could use the solution algorithm taught in school. You could use a calculator. You might visualize the numbers and mentally calculate. Or, you could estimate by rounding 8.5 to 10 and responding with an approximate answer, ""about 130 square metres"". Which solution approach you choose will depend on the situation, on your mathematical competencies, and on the precision required for the answer. In my research, we combine arithmetical tasks with other tasks known to require specific mental resources to determine how people solve mathematical problems. For example, participants might be asked to remember visual or verbal information while solving the above problem and then we test how their mental processes are affected by the specific memory demands. I am particularly interested in individual differences in mathematics. Over the last 25 years, my research on mathematical cognition has provided insights into the flexibility and diversity of mental processes that adults use on numerical tasks. These insights and the further research described in this proposal will allow advances in our understanding of how people solve mathematical problems.