Results 51 to 60 of about 4,768 (188)
Pediatric Discovery, Volume 4, Issue 3, September 2026.ABSTRACT Children with language and speech disorders account for approximately 5%–12% of children have language and speech disorders globally. Understanding the cognitive abilities of these children is crucial for identifying how cognitive skills influence speech fluency, language production, and planning effective intervention programs.
Ghada Tarek Orabi +1 more
wiley +1 more source
Speech and Language Therapists’ Views Regarding Their Scope of Practice in Written Language
International Journal of Language &Communication Disorders, Volume 61, Issue 5, September/October 2026.ABSTRACT Background Spoken and written language are closely linked, and Speech and Language Therapists (SLTs) have expertise in the language skills that support both. However, unlike countries such as the US and Australia, UK SLTs lack clear guidance on their role in written language. This study explores the views of SLTs working with adults (aged 16+)
Carol Moxam +2 more
wiley +1 more source
Child: Care, Health and Development, Volume 52, Issue 5, September 2026.ABSTRACT Background Parents of children with Developmental Coordination Disorder (DCD) face barriers in accessing school‐based services and supports for their children despite challenges in academic attainment related to motor coordination difficulties and secondary consequences associated with DCD.
Erin S. Klein +3 more
wiley +1 more source
Differences in Immediate and Delayed Suggestibility Among Children With Dyslexia and Controls
Behavioral Sciences &the Law, Volume 44, Issue 4, Page 559-570, July/August 2026.ABSTRACT The primary aim of this study was to investigate the relationship between dyslexia and suggestibility in children, and the extent to which this relationship is accounted for by performance on Word Tasks. Participants comprised 95 children with dyslexia and 109 controls.
Gisli Gudjonsson +2 more
wiley +1 more source
Technium Social Sciences Journal, 2022 The aim of this review is the recognition of characteristics of “Dysgraphia” or “Dysorthography”, as specific learning disorder in written. Concretely, the diagnostic technological tools enable to recognize the particular characteristics of this disorder.
Eugenia Gkeka, Athanasios Drigas
openaire +1 more source
Dyslexia, Volume 32, Issue 3, August 2026.ABSTRACT Many adolescents do not have the basic reading skills needed to successfully comprehend increasingly complex academic texts, and the COVID‐19 pandemic has further disrupted reading achievement. These concerns motivate the present pilot study, which adapts the Glass‐Analysis programme, a theoretically distinctive analytic phonics intervention ...
Corrine Durisko +4 more
wiley +1 more source
ORIGINAL PAPER
Verbal and non-verbal intelligence: dyslexic-dysgraphic students and normal students
Archives of Medical Science, 2006 Introduction: The present research aimed to compare the verbal and nonverbal intelligence of students with dyslexia-dysgraphia and normal students. Material and methods: Thirty students with dyslexia-dysgraphia and 30 students from mainstream schools of ...
Ali Fathi-Ashtiani, Khodabakhsh Ahmadi
doaj
Bilingual Phonological Dysgraphia
Procedia - Social and Behavioral Sciences, 2012 50th Academy of Aphasia Proceedings, San Francisco, USA, 28-30 October 2012. In Procedia: Social and Behavioral Sciences, 2012, v. 61, p.
Kambanaros, M, Weekes, B
openaire +3 more sources
Mind, Brain, and Education, Volume 20, Issue 3, August 2026.ABSTRACT Machine learning (ML) algorithms have been increasingly used to predict learning disability (LD) risk across various disciplines, but the effectiveness of different algorithms remains unclear. We summarize the literature on ML applications for the identification and classification of LDs using behavioral (e.g., phoneme manipulation and sound ...
Yusra Ahmed +4 more
wiley +1 more source
Method for Dysgraphia Disorder Detection using Convolutional Neural Network
, 2022 This paper describes a method for dysgraphia disorder detection based on the classification of handwritten text. In the experiment we have verified proposed approach based on the conventional signal theory. Input data consists of the handwritten text
Polec, Jaroslav +5 more
core +1 more source