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Direct linkXin Qiao; Akihito Kamata; Cornelis Potgieter – Grantee Submission, 2024
Oral reading fluency (ORF) assessments are commonly used to screen at-risk readers and evaluate interventions' effectiveness as curriculum-based measurements. Similar to the standard practice in item response theory (IRT), calibrated passage parameter estimates are currently used as if they were population values in model-based ORF scoring.…
Descriptors: Oral Reading, Reading Fluency, Error Patterns, Scoring
Balqis Albreiki; Tetiana Habuza; Nishi Palakkal; Nazar Zaki – Education and Information Technologies, 2024
The nature of education has been transformed by technological advances and online learning platforms, providing educational institutions with more options than ever to thrive in a complex and competitive environment. However, they still face challenges such as academic underachievement, graduation delays, and student dropouts. Fortunately, by…
Descriptors: Multivariate Analysis, Graphs, Identification, At Risk Students
Jody Samuels – ProQuest LLC, 2024
Reading fluency involves a complex interaction of different cognitive skills and abilities that develop with instruction and practice and relies on the automaticity of many distinct reading skills (e.g., pacing, word recognition, expression, phonological awareness). Fluent reading frees cognitive resources, such as working memory, for more…
Descriptors: Reading Fluency, Brain Hemisphere Functions, Naming, Reading Rate
Fragkouli, Konstantina; Antoniou, Faye; Mouzaki, Angeliki; Ralli, Asimina M.; Kokkali, Vasiliki; Alexoudi, Kariofyllia – Reading & Writing Quarterly, 2022
The development of spelling skill is an intricate process for children with or at risk of Specific Learning Disabilities and requires targeted interventions. This problem exacerbates in the Greek orthographic system owning to its high complexity. The current study presents a novel spelling intervention program for Greek 3rd graders at risk of…
Descriptors: Intervention, Spelling, At Risk Students, Reading Fluency
Spear-Swerling, Louise – TEACHING Exceptional Children, 2019
Structured Literacy (SL) approaches are often recommended for students with dyslexia and other poor decoders (e.g., International Dyslexia Association, 2017). Examples of SL approaches include the Wilson Reading System (Wilson, 1988), Orton-Gillingham (Gillingham & Stillman, 2014), the Lindamood Phoneme Sequencing Program (Lindamood &…
Descriptors: Literacy Education, Reading Instruction, Dyslexia, Learning Disabilities
Download full textMalone, Amelia S.; Fuchs, Lynn S. – Journal of Learning Disabilities, 2017
The three purposes of this study were to (a) describe fraction ordering errors among at-risk fourth grade students, (b) assess the effect of part-whole understanding and accuracy of fraction magnitude estimation on the probability of committing errors, and (c) examine the effect of students' ability to explain comparing problems on the probability…
Descriptors: Error Patterns, Fractions, Mathematics Instruction, At Risk Students
Collins, Ginger G.; Goforth, Anisa N.; Ambrose, Laura M. – Rural Special Education Quarterly, 2016
Rural students are at risk for vocabulary underdevelopment and often have less access to educational resources. The purpose of this investigation was to examine the effectiveness of an Internet-based Speech/Language Pathologist (SLP)-teacher consultation to support rural teachers' vocabulary instruction to improve their students' lexical…
Descriptors: Faculty Development, Special Education, Inferences, Rural Areas
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
