Annotated Bibliography
Cowden, P. A. (2010). Reading Strategies for Students With Severe Disabilities. Reading
Improvement, 47(3), 162-165.
The article examines the remediation strategies for students with severe reading disabilities. It
analyzes the constructivist approach to teaching reading to students whom are severely learning
disabled and the challenges that an educator may run into in the classroom. It notes several
studies including one conducted by A. Cooke on a student with severe dyslexia who entered
college with no reading and writing skills and one by C. Denton who examined students over a
16-week intervention.
Dunn, M. W. (2007). Diagnosing Reading Disability: Reading Recovery as a Component of a
Response-to-Intervention Assessment Method. Learning Disabilities -- A Contemporary
Journal, 5(2), 31-47.
The article explores the assessment components of the Reading Recovery (RR) program as part
of a future response to intervention (RTI) model. It was found out that RR assessment elements
were significant predictors of first-grade students who were later identified as having a reading
disability. Ending text level was consistently the largest predictor of students later classified as
having a reading disability or not.
Esteves, K., & Whitten, E. (2011). Assisted Reading with Digital Audiobooks for Students with
Reading Disabilities. Reading Horizons, 51(1), 21-40.
The goal of this study was to compare the efficacy of assisted reading with digital audiobooks
with the traditional practice of sustained silent reading (SSR) in terms of reading fluency and
reading attitude with upper elementary students with reading disabilities. Treatment group
participants selected authentic children's literature and engaged in assisted reading with digital
audiobooks four to five times per week over an eight-week implementation period. Results
showed that while all students demonstrated growth in reading fluency as calculated by words
read correctly per minute, the growth of the treatment group far outweighed that of the control
group. There was no significant difference in reading attitude scores. Consequently, this study
shows that teachers can promote greater growth in reading fluency when assisted reading with
digital audiobooks is implemented in the place of SSR.
Meisinger, E. B., Bloom, J. S., & Hynd, G. W. (2010). Reading Fluency: Implications for the
Assessment of Children with Reading Disabilities. Annals Of Dyslexia, 60(1), 1-17.
The current investigation explored the diagnostic utility of reading fluency measures in the
identification of children with reading disabilities. Participants were 50 children referred to a
university-based clinic because of suspected reading problems and/or a prior diagnosis of
dyslexia, where children completed a battery of standardized intellectual, reading achievement,
and processing measures. Within this clinical sample, a group of children were identified that
exhibited specific deficits in their reading fluency skills with concurrent deficits in rapid naming
speed and reading comprehension. This group of children would not have been identified as
having a reading disability according to assessment of single word reading skills alone,
suggesting that it is essential to assess reading fluency in addition to word reading because
failure to do so may result in the under-identification of children with reading disabilities.
Saine, N. L., Lerkkanen, M., Ahonen, T., Tolvanen, A., & Lyytinen, H. (2011). Computer-
Assisted Remedial Reading Intervention for School Beginners at Risk for Reading
Disability. Child Development, 82(3), 1013-1028.
The aim of the longitudinal study was to investigate whether a computer application designed for
remedial reading training can enhance letter knowledge, reading accuracy, fluency, and spelling
of at-risk children. The participants, 7-year-old Finnish school beginners (N = 166), were
assigned to 1 of 3 groups: (a) regular remedial reading intervention (n = 25), (b) computer-
assessed reading intervention (n = 25), and (c) mainstream reading instruction (n = 116). Based
on the results, computer-assisted remedial reading intervention was highly beneficial, whereas
regular type of intervention was less successful. The results indicated that at-risk children require
computer-based letter-name and letter-sound training to acquire adequate decoding and spelling
skills, and to reach the level of their non-at-risk peers.
Smith, A. B., Roberts, J., Smith, S., Locke, J. L., & Bennett, J. (2006). Reduced Speaking Rate
as an Early Predictor of Reading Disability. American Journal Of Speech-Language
Pathology, 15(3), 289-297.
This study evaluated whether developmental reading disability could be predicted in children at
the age of 30 months, according to 3 measures of speech production: speaking rate, articulation
rate, and the proportion of speaking time allocated to pausing. Method: Speech samples of 18
children at high risk and 10 children at low risk for reading disability were recorded at 30 months
of age. High risk was determined by history of reading disability in at least 1 of the child's
parents. In grade school, a reading evaluation identified 9 children within the high-risk group as
having reading disability and 9 children as not having reading disability. The 10 children at low
risk for reading disability tested negative for reading disability. Results: Children with reading
disability showed a significantly slower speaking rate than children at high risk without reading
disability. Children with reading disability allocated significantly more time to pausing, as
compared with the other groups. Articulation rate did not differ significantly across groups.
Conclusions: Speaking rate and the proportion of pausing time to speaking time may provide an
early indication of reading outcome in children at high risk for reading disability.

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Annotated bibliography edet 735 project

  • 1. Annotated Bibliography Cowden, P. A. (2010). Reading Strategies for Students With Severe Disabilities. Reading Improvement, 47(3), 162-165. The article examines the remediation strategies for students with severe reading disabilities. It analyzes the constructivist approach to teaching reading to students whom are severely learning disabled and the challenges that an educator may run into in the classroom. It notes several studies including one conducted by A. Cooke on a student with severe dyslexia who entered college with no reading and writing skills and one by C. Denton who examined students over a 16-week intervention. Dunn, M. W. (2007). Diagnosing Reading Disability: Reading Recovery as a Component of a Response-to-Intervention Assessment Method. Learning Disabilities -- A Contemporary Journal, 5(2), 31-47. The article explores the assessment components of the Reading Recovery (RR) program as part of a future response to intervention (RTI) model. It was found out that RR assessment elements were significant predictors of first-grade students who were later identified as having a reading disability. Ending text level was consistently the largest predictor of students later classified as having a reading disability or not. Esteves, K., & Whitten, E. (2011). Assisted Reading with Digital Audiobooks for Students with Reading Disabilities. Reading Horizons, 51(1), 21-40. The goal of this study was to compare the efficacy of assisted reading with digital audiobooks with the traditional practice of sustained silent reading (SSR) in terms of reading fluency and reading attitude with upper elementary students with reading disabilities. Treatment group participants selected authentic children's literature and engaged in assisted reading with digital audiobooks four to five times per week over an eight-week implementation period. Results showed that while all students demonstrated growth in reading fluency as calculated by words read correctly per minute, the growth of the treatment group far outweighed that of the control group. There was no significant difference in reading attitude scores. Consequently, this study shows that teachers can promote greater growth in reading fluency when assisted reading with digital audiobooks is implemented in the place of SSR. Meisinger, E. B., Bloom, J. S., & Hynd, G. W. (2010). Reading Fluency: Implications for the Assessment of Children with Reading Disabilities. Annals Of Dyslexia, 60(1), 1-17. The current investigation explored the diagnostic utility of reading fluency measures in the identification of children with reading disabilities. Participants were 50 children referred to a university-based clinic because of suspected reading problems and/or a prior diagnosis of dyslexia, where children completed a battery of standardized intellectual, reading achievement, and processing measures. Within this clinical sample, a group of children were identified that exhibited specific deficits in their reading fluency skills with concurrent deficits in rapid naming speed and reading comprehension. This group of children would not have been identified as
  • 2. having a reading disability according to assessment of single word reading skills alone, suggesting that it is essential to assess reading fluency in addition to word reading because failure to do so may result in the under-identification of children with reading disabilities. Saine, N. L., Lerkkanen, M., Ahonen, T., Tolvanen, A., & Lyytinen, H. (2011). Computer- Assisted Remedial Reading Intervention for School Beginners at Risk for Reading Disability. Child Development, 82(3), 1013-1028. The aim of the longitudinal study was to investigate whether a computer application designed for remedial reading training can enhance letter knowledge, reading accuracy, fluency, and spelling of at-risk children. The participants, 7-year-old Finnish school beginners (N = 166), were assigned to 1 of 3 groups: (a) regular remedial reading intervention (n = 25), (b) computer- assessed reading intervention (n = 25), and (c) mainstream reading instruction (n = 116). Based on the results, computer-assisted remedial reading intervention was highly beneficial, whereas regular type of intervention was less successful. The results indicated that at-risk children require computer-based letter-name and letter-sound training to acquire adequate decoding and spelling skills, and to reach the level of their non-at-risk peers. Smith, A. B., Roberts, J., Smith, S., Locke, J. L., & Bennett, J. (2006). Reduced Speaking Rate as an Early Predictor of Reading Disability. American Journal Of Speech-Language Pathology, 15(3), 289-297. This study evaluated whether developmental reading disability could be predicted in children at the age of 30 months, according to 3 measures of speech production: speaking rate, articulation rate, and the proportion of speaking time allocated to pausing. Method: Speech samples of 18 children at high risk and 10 children at low risk for reading disability were recorded at 30 months of age. High risk was determined by history of reading disability in at least 1 of the child's parents. In grade school, a reading evaluation identified 9 children within the high-risk group as having reading disability and 9 children as not having reading disability. The 10 children at low risk for reading disability tested negative for reading disability. Results: Children with reading disability showed a significantly slower speaking rate than children at high risk without reading disability. Children with reading disability allocated significantly more time to pausing, as compared with the other groups. Articulation rate did not differ significantly across groups. Conclusions: Speaking rate and the proportion of pausing time to speaking time may provide an early indication of reading outcome in children at high risk for reading disability.