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1 Young Deaf Children and The Prediction of Reading and Mathematics [email protected] c.uk www.cemcentre.org

1 Young Deaf Children and The Prediction of Reading and Mathematics [email protected]

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Page 1: 1 Young Deaf Children and The Prediction of Reading and Mathematics Christine.Merrell@cem.dur.ac.uk

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Young Deaf Children and The Prediction of Reading and Mathematics

[email protected]

www.cemcentre.org

Page 2: 1 Young Deaf Children and The Prediction of Reading and Mathematics Christine.Merrell@cem.dur.ac.uk

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Background

Deafness is not a learning disability and

there is no reason why deaf children should

achieve any less than their hearing peers of

similar cognitive abilities (National Deaf

Children’s Society, 2007)

Page 3: 1 Young Deaf Children and The Prediction of Reading and Mathematics Christine.Merrell@cem.dur.ac.uk

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• Conrad (1979) found the mean reading age of deaf pupils at age 15 was substantially lower than that of hearing pupils.– Sample size = 469– Mean reading age = 9 years– Since then, only small-scale studies that showed

similar results (review by Powers, 1988)

Reading Attainment

Page 4: 1 Young Deaf Children and The Prediction of Reading and Mathematics Christine.Merrell@cem.dur.ac.uk

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• Difference between groups for mathematics was not so striking e.g. Wood et al. (1986)– Sample size = 1,000 pupils including 540 deaf

pupils– Mean age of deaf pupils = 12.3 years compared

with 15.5 years for hearing pupils

Maths Attainment

Page 5: 1 Young Deaf Children and The Prediction of Reading and Mathematics Christine.Merrell@cem.dur.ac.uk

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• DfES (2007)– 32.9% of deaf children achieved five or more

GCSEs at grades A* to C– National average was 57.1%

GCSE

Page 6: 1 Young Deaf Children and The Prediction of Reading and Mathematics Christine.Merrell@cem.dur.ac.uk

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Beginning to Read

Children need different types of knowledge:

• Global and cultural awareness

• Vocabulary and basic understanding of language

• Conventions of print

• Phonological awareness

Page 7: 1 Young Deaf Children and The Prediction of Reading and Mathematics Christine.Merrell@cem.dur.ac.uk

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Understanding Mathematics

Also requires language acquisition

Page 8: 1 Young Deaf Children and The Prediction of Reading and Mathematics Christine.Merrell@cem.dur.ac.uk

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Early Interventions

• Early Years Foundation Stage and increased pre-school provision

• Early identification of deaf children (Newborn Hearing Screening Programme fully implemented since 2006)– At age 3 years, average vocabulary for hearing

children is 700 words– For deaf children of same age with undetected

hearing loss, average vocabulary is 25 words (NDCS, 2008)

Page 9: 1 Young Deaf Children and The Prediction of Reading and Mathematics Christine.Merrell@cem.dur.ac.uk

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Early Interventions

• Digital hearing aids on NHS started with 20 sites in 2000/2001

• Cochlear Implants

Page 10: 1 Young Deaf Children and The Prediction of Reading and Mathematics Christine.Merrell@cem.dur.ac.uk

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Research Questions

• Is there a difference in the early reading and maths development of deaf and hearing children at the start of school?

• Have trends changed over time?

• What is the rate of progress of deaf children compared with their hearing peers in the first year of school?

Page 11: 1 Young Deaf Children and The Prediction of Reading and Mathematics Christine.Merrell@cem.dur.ac.uk

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The Centre for Evaluation & Monitoring (CEM)

• Systems to monitor the progress of children aged 3 – 18 years

• Assess over 1 million pupils per year

Page 12: 1 Young Deaf Children and The Prediction of Reading and Mathematics Christine.Merrell@cem.dur.ac.uk

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Performance Indicators in Primary Schools (PIPS)

• Baseline Assessment on entry to school

• Pupils re-assessed at the end of the first year

• Text and Computer-delivered version of assessment

• Schools administer assessment and return data to CEM for analysis and feedback

Page 13: 1 Young Deaf Children and The Prediction of Reading and Mathematics Christine.Merrell@cem.dur.ac.uk

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Performance Indicators in Primary Schools (PIPS)

• Collected data from several thousand pupils from 1999/00 academic year up to 2007/08

• Assessment items have remained the same over time

Page 14: 1 Young Deaf Children and The Prediction of Reading and Mathematics Christine.Merrell@cem.dur.ac.uk

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Performance Indicators in Primary Schools (PIPS)

• Early Reading

• Early Maths

• Modifications to administration

• Demonstration of computer-delivered version

Page 15: 1 Young Deaf Children and The Prediction of Reading and Mathematics Christine.Merrell@cem.dur.ac.uk

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Sample for investigation of changes over time

• Limitation– Ideally would use sample of same schools– But that would reduce an already small sample of

pupils with hearing loss

• Concentrating on computer-delivered version of PIPS Baseline

Page 16: 1 Young Deaf Children and The Prediction of Reading and Mathematics Christine.Merrell@cem.dur.ac.uk

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Results

Page 17: 1 Young Deaf Children and The Prediction of Reading and Mathematics Christine.Merrell@cem.dur.ac.uk

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Decline in maths scores of deaf group is statistically significant

Page 18: 1 Young Deaf Children and The Prediction of Reading and Mathematics Christine.Merrell@cem.dur.ac.uk

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Measuring Progress in Reception

Tymms, P., Brien, D., Merrell, C., Collins, J. and Jones, P. (2003) Young deaf children and the prediction of reading and mathematics. Journal of Early Childhood Research, 1(2), 197 – 212.

Page 19: 1 Young Deaf Children and The Prediction of Reading and Mathematics Christine.Merrell@cem.dur.ac.uk

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Measuring Progress in Reception

• For value-added, baseline assessment at the start of Reception needs to correlate with the assessment at the end of the year

• PIPS Baseline at start of Reception

• PIPS Baseline repeated at end of year

Page 20: 1 Young Deaf Children and The Prediction of Reading and Mathematics Christine.Merrell@cem.dur.ac.uk

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Correlation = 0

Page 21: 1 Young Deaf Children and The Prediction of Reading and Mathematics Christine.Merrell@cem.dur.ac.uk

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Correlation = 1

Page 22: 1 Young Deaf Children and The Prediction of Reading and Mathematics Christine.Merrell@cem.dur.ac.uk

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Correlation = 0.7

Page 23: 1 Young Deaf Children and The Prediction of Reading and Mathematics Christine.Merrell@cem.dur.ac.uk

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Sample

Started school in 1998/99 academic year

Hearing Loss Count

None 2000Mild 650Moderate 204Severe 79Profound 29

Page 24: 1 Young Deaf Children and The Prediction of Reading and Mathematics Christine.Merrell@cem.dur.ac.uk

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• Early Reading– Writing, Ideas about Reading, Letter

Identification

• Early Maths– Ideas about Maths, Counting, Sums (without

symbols), Digit Identification

Page 25: 1 Young Deaf Children and The Prediction of Reading and Mathematics Christine.Merrell@cem.dur.ac.uk

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Correlations

Hearing Loss Reading Maths

None .71 .71

Mild .75 .77

Moderate .72 .68

Severe .69 .74

Profound .29 .40

Page 26: 1 Young Deaf Children and The Prediction of Reading and Mathematics Christine.Merrell@cem.dur.ac.uk

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• Good correlations except for group of children with Profound hearing loss

• Overall, PIPS Baseline was appropriate and progress of groups could be compared

• All except the Profound group made similar progress in Reception

• Why was the Profound group different?

• Current ongoing research