The Effects of Synthetic Phonics Training Based on Explicit Instruction on Word Recognition, Oral Reading Fluency and Spelling of Students at Risk for Dyslexia

2018 ◽  
Vol 15 (3) ◽  
pp. 103-134
Author(s):  
Soo-Jeong Shin ◽  
Ock-Ryeo Kang
2008 ◽  
Vol 74 (2) ◽  
pp. 235-256 ◽  
Author(s):  
Lauren A. Katz ◽  
C. Addison Stone ◽  
Joanne F. Carlisle ◽  
Douglas Lyman Corey ◽  
Ji Zeng

This 2-year longitudinal study examined initial evidence of progress in reading for 1,512 children with and without identified speech-language and/or learning disabilities (LD-SLD) in the context of the explicit literacy instruction provided in Michigan's Reading First (RF) schools. The findings suggested that children with LD-SLD labels demonstrated significantly slower growth compared to children without LD-SLD labels. Children considered more at risk also demonstrated slower progress in oral reading fluency (but not reading comprehension) compared to children considered less at risk. Implications are discussed in relationship to the extent of instructional support needed by children identified as LD-SLD in the mainstream, and in terms of the specific dimension of reading skills as a criterion.


2021 ◽  
pp. 002221942110434
Author(s):  
Lisa Didion ◽  
Jessica R. Toste

Data Mountain is a self-determination program that has shown early promise in enhancing the oral reading fluency (ORF) of students with or at-risk for reading disabilities (RD). This program supports self-determined learning behaviors through explicit teaching of self-monitoring, goal setting, and positive attributions. The present study tested the effects of Data Mountain on the ORF of 81 students with or at-risk for RD in second through fifth grades, randomly assigned to one of three conditions: Data Mountain delivered in small groups, Data Mountain delivered individually, or a comparison condition. Results from hierarchical linear modeling indicated that treatment students read an average of 31 more words per minute with a growth rate twice that of comparison students ( p < .01). The transferable possibilities of Data Mountain to provide students with an opportunity to learn self-determination skills and support ORF is significant to the field of special education.


2016 ◽  
Vol 30 (3) ◽  
pp. 591-611 ◽  
Author(s):  
Irene Cadime ◽  
Bruna Rodrigues ◽  
Sandra Santos ◽  
Fernanda Leopoldina Viana ◽  
Séli Chaves-Sousa ◽  
...  

2017 ◽  
Vol 38 (5) ◽  
pp. 272-283 ◽  
Author(s):  
Breda V. O’Keeffe ◽  
Kaitlin Bundock ◽  
Kristin L. Kladis ◽  
Rui Yan ◽  
Kat Nelson

Previous research on curriculum-based measurement of oral reading fluency (CBM ORF) found high levels of variability around the estimates of students’ fluency; however, little research has studied the issue of variability specifically with well-designed passage sets and a sample of students who scored below benchmark for the purpose of progress monitoring. We examined the variability in oral reading fluency score slopes due to passage and student characteristics using DIBELS Next progress monitoring passages over 4 weeks using a hierarchical linear growth model. Participants included second-, third-, and fourth-grade students identified as at risk for reading difficulties. The results showed an average growth rate of approximately 1 correctly read word per minute per week, with considerably lower variability than shown in previous research with less controlled passage sets and/or higher performing student samples. Implications for practice are discussed, including procedural recommendations for administrators and teachers.


2020 ◽  
pp. 153450842097246 ◽  
Author(s):  
Kirsten W. Newell ◽  
Jessie Kember ◽  
Gesa Zinn

This brief report summarizes the development and psychometric properties of German reading fluency passages as compared to English reading fluency passages for immersion language learners. Results indicated that scores from German language reading fluency passages alone were (a) somewhat less reliable than scores from English publisher-developed passages, (b) similarly valid measures of reading when compared to scores from English reading fluency passages, and (c) more accurate than publisher-provided English cut-scores, but not as accurate as locally developed English cut-scores in the identification of at-risk readers.


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