Today's Policy Contexts for Special Education and Students with Specific Learning Disabilities

2009 ◽  
Vol 32 (1) ◽  
pp. 3-9 ◽  
Author(s):  
H. Rutherford Turnbull
2021 ◽  
pp. 1-14
Author(s):  
Kriti Dhingra ◽  
Anchal Garg ◽  
Divakar Yadav ◽  
Jayanti Pujari

BACKGROUND: Assistive technology has been a boon for children with specific learning disabilities (SLDs) as it bridges the gap between them and their peers without SLDs. Despite the vast emphasis on the use of AT and speedy propagation of AT tools, yet more research is required on actual usage of AT. OBJECTIVE: The purpose of the study is to identify the most significant barriers to the usage of AT by children with specific learning disabilities and suggest various measures to deal with it. METHODS: To accomplish the study interviews were conducted with special education teachers of schools in India to find out the major barriers toward the utilisation of AT. First, Qualitative analysis was performed using CAQDAS tool QDA Miner Lite to identify the barriers towards effective utilisation of AT. Further, ISM technique and MICAMAC analysis were used to corroborate the most significant barriers. RESULTS: The results revealed the most significant barriers to implementation of AT and also that timely managing these major barriers can lower the effect on other barriers. CONCLUSION: Eliminating the significant barriers would enhance the use of AT by the special education teachers, parents, and children with SLDs. Effective use of AT can prove to be benediction in the times of pandemic.


Author(s):  
Rosmayati Mohemad ◽  
Nur Fadila Akma Mamat ◽  
Noor Maizura Mohamad Noor ◽  
Arifah Che Alhadi

<span lang="EN-US">Ontology-based knowledge representation is explored in special education environment as not much attention has been given to the area of specific learning disabilities such as dyslexia, dysgraphia and dyscalculia. Therefore, this paper aims to capture the knowledge in special education domain, represent the knowledge using ontology-based approach and make it efficient for early identification of children who might have specific learning disabilities. In this paper, the step-by-step development process of the ontology is presented by following the five phases of ontological engineering approach, which consists of specification, conceptualization, formalization, implementation, and maintenance. The details of the ontological model’s content and structure is built and the applicability of the ontology for early identification and recommendation is demonstrated.</span>


2018 ◽  
Vol 40 (4) ◽  
pp. 504-515
Author(s):  
Magdalys Velázquez-Ramos ◽  
Israel Sánchez-Cardona ◽  
Cynthia García Coll

This article examined the association between social position variables (i.e., Hispanic, health insurance coverage, and poverty rates) on the prevalence of specific learning disabilities (SLD) in students between 3 and 21 years of age. We used the 2012 to 2013 U.S. population data from the U.S. Department of Education, Office of Special Education Program, and the American Community Survey for the 50 states, Puerto Rico, and Washington, D.C. Results indicate that states with higher rates of Hispanics were related to higher rates of SLD, while lower rates of no health insurance coverage were related to lower SLD rates. We conclude that Hispanic students are at a higher risk of being diagnosed with SLD, while having no health insurance coverage might be a detriment to be properly diagnosed. The importance of a national perspective in disabilities and the role of social position variables on special education are discussed.


2018 ◽  
Vol 49 (4) ◽  
pp. 889-901 ◽  
Author(s):  
Brianna L. Yamasaki ◽  
Gigi Luk

Purpose We examined the association between language experience and elementary students' eligibility for special education in Massachusetts. Method A secondary descriptive data analysis was conducted on the anonymized demographic data obtained from the Massachusetts Department of Elementary and Secondary Education. Third, 4th, and 5th grade students were categorized into native English speakers, English-proficient bilinguals, and emerging bilinguals. Eligibility for free or reduced lunch was also considered. Proportions of students eligible for autism, communication disorders, and specific learning disabilities (including those with dyslexia) were calculated. Results A strong association was observed between students' language background and whether they were eligible for free/reduced lunch. Children eligible for free/reduced lunch were more likely to be eligible for special education. Relative to native English speakers, English-proficient bilingual students were less likely to be considered eligible for special education. However, for emerging bilinguals, eligibility was lowest in 3rd grade and highest in 5th grade. This observation was most apparent in the category of specific learning disabilities. Conclusions Students from diverse language and low-income backgrounds were disproportionately represented in special education. More substantial research–practice partnerships are warranted to understand how bilingual experience and socioeconomic status interact with eligibility for special education services in public school settings.


1986 ◽  
Vol 58 (3) ◽  
pp. 875-878
Author(s):  
James E. Whorton ◽  
Emma D. Pierson ◽  
William V. Plue

Psychometric data for 290 special education students with specific learning disabilities were reviewed at reevaluation as required by both state and federal regulations. A significant change in scores for 18% of the subjects led to their reclassification as nonhandicapped. Gains in reading and mathematics for those 52 whose classifications changed were significantly higher than gains of those 238 whose classifications were the same.


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