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What Counts? Cognitive Factors that Predict Children’s Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University Ottawa, Canada

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Page 1: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

What Counts?Cognitive Factors that Predict Children’s

Mathematical Learning

Jo-Anne LeFevreProfessor of Psychology and Cognitive Science

Carleton UniversityOttawa, Canada

Page 2: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Count Me In Team

Investigators: Jeff Bisanz, Sheri-Lynn Skwarchuk, Brenda Smith-Chant, Deepthi Kamawar

Research Coordinator: Lisa Fast

Graduate students: Marcie Penner-Wilger, Tina Shanahan, Wendy Ann Deslauriers, Becky Watchorn, Marilyn Smith

Undergraduate researchers in Ottawa, Winnipeg, and Peterborough

PARTICIPANTS: Students, Teachers, Schools

Page 3: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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What is numeracy?

• “…an ‘at-homeness’ with numbers and an ability to cope with the mathematical demands of everyday life…”

• Cockcroft Report 1982

Page 4: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Page 5: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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1 Develop measures to predict numeracy acquisition

2 Collect longitudinal data

3 Develop a model of how children acquire numeracy

Page 6: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Do early numeracy skills predict mathematical learning?

• Yes (preschool to Grade 2)

• Children with higher levels of skill remain high

• Some children improve

• Others do not -- why?

Page 7: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Are there cognitive precursors that predict the acquisition of numeracy?

• Linguistic

• Quantitative

• Attentional

Page 8: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Page 9: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Why these three pathways?

• Literature review

• Examination of early numeracy skills

• Neuropsychological evidence related to processing numbers (vs. words)

Page 10: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Quantitative pathway

• Neuropsychology - humans have a brain-based quantitative capacity (approximate or small-number exact?)

• We chose to assess small-number exact

• Support from research with dyscalculia

Page 11: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Linguistic pathway

• Number system knowledge is a language

• Grammar, syntax, vocabulary

• Symbolic representations

Page 12: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Attentional pathway

• Working memory is central to various math tasks

• WM (executive? Phonological? VSSP? Depends on task)

• ADHD co-morbidities

• Math tasks require attention

Page 13: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Hypotheses

• These three cognitive precursor “pathways” contribute independently to numeracy development

• The relative contribution of each pathway depends on the mathematical ‘outcome’

Page 14: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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What is a mathematical ‘outcome’• In contrast to reading, performance in

mathematics is diverse• Measurement of performance

– Curricular [NCTM] guidelines; number & operations, geometry, probability & data analysis, algebra, measurement, problem solving

– standardized measures have multiple subtests [e.g., numeration, geometry, calculation]

– Experimental tasks: number comparison, estimation, calculation

Page 15: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Page 16: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Page 17: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Current data

• N = 182 children tested at age 4 or 5 (preschool or kindergarten)– Cognitive precursors– Early numeracy skills

• N=122 children retested 2 years later (Gr 1 or 2)– Mathematical outcomes

Page 18: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Current analysis

• Outcomes– Standardized tests (general, global

measures)– Measures of underlying numerical

representations

• Evidence for pathways if predictors are differentially related to outcomes

Page 19: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Longitudinal patterns

• Assess cognitive abilities early (in each pathway)

• Assess early numeracy skills (which should mediate cognitive abilities)

• Determine relative contributions of early skills (age 4 to 5) to various outcomes (age 6 to 7; Year 2 or 3)

Page 20: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Page 21: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Cognitive Measures

• Linguistic– vocabulary & phonological awareness

• Attention – spatial span

• Quantitative -- subitizing speed

Page 22: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Spatial span

Page 23: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Subitizing

Page 24: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Page 25: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Early Numeracy Measures

• Symbolic numeracy:– Number naming (1, 3, 7, 12, 17, 24…)

• Nonsymbolic numeracy:– Nonsymbolic/nonlinguistic quantity

transformations

Page 26: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Cognitive Precursors and Early Numeracy Skills

Page 27: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Pathways - regression coefficients

Page 28: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Model to predict outcomes

Page 29: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Mathematical Outcomes

• Numeration

• Calculation (written)

• Measurement

Page 30: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

KeyMath Numeration Example

4,837 4,759 4,832

Read these three numbers to me, starting with the smallest number and ending with the largest.

Item 14: Mean raw score for Grade 2 is 13.79 (SD 3.3)

Page 31: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Numeration

Page 32: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

Calculation

Mean raw score for grade 2 in 2007 was 11.6(N=112, S.D. 2.9)

Page 33: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Calculation

Page 34: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Measurement

• KeyMath Measurement subtest

Page 35: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University
Page 36: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Measurement

Page 37: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Page 38: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Summary: Pathways

• Linguistic --> Number system knowledge

• Quantitative --> quantity representations and transformations

• Attention --> more general and diffuse relation to skills

Page 39: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Connections among pathways

• Ansari 2008 (also Rouselle & Noel, 2007): connections between the quantitative and the symbolic systems are the source of math difficulties

• Could be one source; but weakness in any or all of the pathways could implicate math difficulties

Page 40: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Conclusions/Suggestions:

• Researchers should pay more attention to outcomes; different math tasks are likely to implicate different underlying skills and different knowledge sets

• Patterns of relations among skills and tasks may change with time

Page 41: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Implications

• Useful framework for understanding– Developmental trajectories (across children)– Potential for designing remediation– Early instruction (curricula); what children

know vs. what they need to learn– What kinds of early experiences are

important for numeracy acquisition

Page 42: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Thank you!

Page 43: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Number Line Estimation

Page 44: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Estimation

Page 45: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Lobes of the Brain

Page 46: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Neuropsychological support

• Description of brain regions that support numeracy - Dehaene et al. (2005)

• Three parietal circuits– Horizontal segment of the intraparietal sulcus

(HIPS) = quantity– Left angular gyrus (AG) = verbal– Posterior superior parietal lobule (PSPL) =

spatial attention

• All three contribute to numerical development

Page 47: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Brain Pathways for Numeracy

Angular gyrus

Intraparietal sulcus

Posterior superior parietal lobule

Page 48: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Magnitude Comparison

Page 49: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Magnitude Comparison

Page 50: What Counts? Cognitive Factors that Predict Childrens Mathematical Learning Jo-Anne LeFevre Professor of Psychology and Cognitive Science Carleton University

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Why do we need a model?

• Prediction of numeracy acquisition

• Early Numeracy skills --> 1, 2, or more years later

• What should be in the model?– Precursors (cognitive)– Experiences (home, preschool)– Experiences (during school)