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Grant: Research Tools and Instruments - Category 1 (<$150,000)

Carleton University

$51,300.00

Eye tracking equipment for research on mathematical cognition

EF 2006-07

Résumé
How do people solve mathematical problems?  Cognitive science explores the mental processes that people use to perform many cognitive tasks.  Of special interest are activities that we use every day.  Numbers are an integral part of the modern world and people are constantly confronted with problems that require mathematical decisions, from how much of a tip to leave in a restaurant to how to manage debt.  Mathematical problem solving involves a great deal of thinking time:  The challenge for cognitive scientists is to try and understand what the mind is doing.  I have requested an eye-tracking system to allow me to study in great detail patterns of gaze during the solution process.  Eye-tracking data has proven very useful in a wide variety of related areas, such as reading and visual perception, and has enhanced our understanding of a variety of complex real-world tasks such as driving.  Application of this methodology to mathematical cognition is overdue.  It will allow me to decompose solution times and connect patterns of looking to other behaviours, thus extending existing ideas about how thinking relates to problem solving.  By carefully manipulating the types of problems that people are given and the tasks they are asked to perform, I will integrate eye gaze information, solution times, and patterns of errors to develop a better understanding of mathematical problem solving and mathematical skill.
Programme
Research Tools and Instruments - Category 1 (<$150,000)
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
345186-2007
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
2006
Competition year année de concours
2007
Award amount
51300
Program id
EQPEQ
Program name en
Research Tools and Instruments - Category 1 (<$150,000)
Program name fr
Outils et instruments de recherche - catégorie 1 (<150 000$)
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
12
Committee name en
Psychology: Brain, Behaviour & Cognitive Sciences
Committee name fr
Psychologie: Cerveau, comportement et science cognitive
Area of application code
1210
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Psychology
Area of application fr
Psychologie
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
1
Nb partie
1
Application title
Eye tracking equipment for research on mathematical cognition
Keyword
NA
Application summary
How do people solve mathematical problems?  Cognitive science explores the mental processes that people use to perform many cognitive tasks.  Of special interest are activities that we use every day.  Numbers are an integral part of the modern world and people are constantly confronted with problems that require mathematical decisions, from how much of a tip to leave in a restaurant to how to manage debt.  Mathematical problem solving involves a great deal of thinking time:  The challenge for cognitive scientists is to try and understand what the mind is doing.  I have requested an eye-tracking system to allow me to study in great detail patterns of gaze during the solution process.  Eye-tracking data has proven very useful in a wide variety of related areas, such as reading and visual perception, and has enhanced our understanding of a variety of complex real-world tasks such as driving.  Application of this methodology to mathematical cognition is overdue.  It will allow me to decompose solution times and connect patterns of looking to other behaviours, thus extending existing ideas about how thinking relates to problem solving.  By carefully manipulating the types of problems that people are given and the tasks they are asked to perform, I will integrate eye gaze information, solution times, and patterns of errors to develop a better understanding of mathematical problem solving and mathematical skill.