ArticlePDF Available
Science Journal of Education
2019; 7(4): 81-86
http://www.sciencepublishinggroup.com/j/sjedu
doi: 10.11648/j.sjedu.20190704.11
ISSN: 2329-0900 (Print); ISSN: 2329-0897 (Online)
An Overview of Dyslexia: Definition, Characteristics,
Assessment, Identification, and Intervention
Jane Roitsch
*
, Silvana Watson
Department of Communication Disorders and Special Education, Old Dominion University, Norfolk, USA
Email address:
*
Corresponding author
To cite this article:
Jane Roitsch, Silvana Watson. An Overview of Dyslexia: Definition, Characteristics, Assessment, Identification, and Intervention. Education
Journal. Vol. 7, No. 4, 2019, pp. 81-86. doi: 10.11648/j.sjedu.20190704.11
Received: July 19, 2019; Accepted: August 15, 2019; Published: September 3, 2019
Abstract:
Background: Dyslexia is a developmental brain-based type of learning disability that affects a person's ability to
read and spell words. Best estimates place 5 percent to 10 percent of the population with the condition, but the incidence of
dyslexia is challenging to pinpoint, as the definition of dyslexia varies throughout research. Objective: The purpose of this article
is to provide an overview of dyslexia, its characteristics, assessment and identification, and intervention techniques for the
condition. Results: Although the disorder varies from person to person, common characteristics among people with dyslexia
include difficulty with phonological skills, low accuracy and fluency of reading, poor spelling, and/or rapid visual-verbal
responding. Dyslexia is a neurological condition and can be inherited, and recent studies have identified a number of genes that
may predispose an individual to developing dyslexia. Identification of dyslexia early requires recognition of characteristics such
as difficulty associating sounds with letters, reading dysfluencies, spelling difficulties, challenges with written expression and
poor handwriting. Dyslexia assessments can guide professions in ways to best administer treatment, such as via strategies to
enhance word training and improve decoding skills. All of these interventions have shown to benefit the reading and writing
abilities of persons with dyslexia. Conclusions: The unique nature and presentation of dyslexia varies among individuals. The
importance of understanding as much as possible and keeping abreast of the assessment and intervention strategies available is
critical to minimizing the long-term effects of dyslexia.
Keywords:
Identification and Causes of Dyslexia, Characteristics of Dyslexia, Dyslexia Assessment and Intervention
1. Introduction
Dyslexia is a neurobiological, developmental,
language-based learning disability that affects individuals’
ability to learn to read (accuracy and fluency) and the
development of spelling skills. Individuals with dyslexia
have difficulty connecting spoken language and the printed
word because they have deficits in the phonological
component of language. Difficulty decoding words
accurately and fluently can affect reading comprehension and
vocabulary development [1, 2]. Spelling difficulties may
affect the production of written composition. Dyslexia can
lead to poor academic performance, low self-esteem, and
lack of motivation. It is not a sign of low intelligence,
laziness, or poor vision, and occurs across the range of
intellectual abilities [3, 4].
2. Background
Initially termed “word blindness” [5], the word dyslexia is
of Greek origin, meaning having impaired (days) word (lexi
from lexicon) and the suffix (ia). Developmental dyslexia is a
condition present in individuals who have word-level
difficulties in reading decoding and spelling; the most
persistent problem seems to be spelling [6, 7].
According to the Individuals with Disabilities Education
Act (IDEA), the working definition of dyslexia labels it as a
“specific learning disability.” It is “a disorder in one or more
of the basic psychological processes involved in
understanding or in using language, spoken or written, that
may manifest itself in the imperfect ability to listen, think,
speak, read, write, spell, or to do mathematical calculations,
including conditions such as perceptual disabilities, brain
82 Jane Roitsch and Silvana Watson: An Overview of Dyslexia: Definition, Characteristics,
Assessment, Identification, and Intervention
injury, minimal brain dysfunction, dyslexia, and
developmental aphasia.” See 20 U.S.C. §1401 (30) and 34
CFR §300.8 (c) (10) (emphasis added) (IDEA, 2004).
Dyslexia is distinguished from other learning disabilities due
to its phonological core deficit and persisting spelling
difficulties.
As a specific learning disability that is neurobiological in
origin, dyslexia is characterized by difficulties with accurate
and fluent word recognition and by poor spelling and
decoding abilities. These difficulties typically result from a
deficit in the phonological component of language that is often
unexpected in relation to other cognitive abilities and the
provision of effective classroom instruction [8, 9]. Simply
stated, when a student with dyslexia begins to learn to read,
s/he has difficulty at the phoneme or sound level which
adversely impacts spelling and reading. Secondary
consequences may include problems in reading
comprehension and reduced reading experience that can
impede growth of vocabulary and background knowledge
[10].
2.1. Risk Factors: Genetic and Neurological Components of
Dyslexia
Dyslexia is the outcome of multiple risk factors. Research
has shown that dyslexia has a complex genetic basis. The
prevalence of dyslexia is higher in those children who have a
family history of dyslexia [10, 11]. The risk of having dyslexia
in first-degree relatives who have this reading and spelling
disorder exceeds that in the general population [12].
(Pennington & Olson, 2008). Studies have shown that young
children with a family history of dyslexia have reduced
activation in neural correlates of phonological processing
before reading onset compared to those without family history
of dyslexia [13]. However, dyslexia should not be considered
as a pure genetic component, but as a multifactorial
developmental disorder [14, 15].
Studies using magnetic resonance imaging (MRI) and other
medical assessment devices provide evidence that most
individuals with dyslexia have reduced brain volume,
less-than-normal gray matter volume, and a significant
reduction of the outer white matter compartment of the brain
which contributes to a less efficient brain circuit for reading
[16-18]. Several studies have indicated that in individuals with
dyslexia, there is a shift in hemisphere dominance for reading
from the left to the right hemisphere. Researchers have
described this shift as a deficit in intrahemispheric “short” or
malfunction in corticocortical connectivity [19, 20].
In dyslexia, there seems to be an atypical reliance on the
right region of the brain instead of the left regions that are
activated in typically developing readers during phonological
awareness tasks [21]. This inefficient reading circuit is
revealed in the difficulty individuals with dyslexia have in
phonological process and awareness (i.e., the ability to
identify and manipulate sounds) despite normal to
above-normal cognitive abilities [2, 10, 22, 23]. Evidence
from the literature indicates that the small activation in the left
regions for phonological processing in dyslexia is linked to
phonological awareness deficits as the cause for dyslexia.
In addition to challenges with phonological awareness,
researchers have asserted that rapid automatized naming
(RAN) deficits contribute to reading difficulties and are
apparent in some individuals with developmental dyslexia [24,
25, 26]. By definition, RAN is the rate with which a person
can name a series of visually-familiar stimuli like letters,
colors, and numbers [27], and indicates automaticity of
processes that are essential to reading [28].
Impairments in the working memory phonological loop
(RAN) and switching/flexible attention (rapid automatic
switching [RAS]) have been suggested as hallmarks of
dyslexia [28]. Although RAN and phonological processes
affect reading, they contribute differently to the acquisition of
reading skills and are activated in different hemispheres and
brain regions. Authorities in the field have suggested that
individuals with deficits in both phonological processing and
RAN, the “double-deficit,” have more severe difficulties in
reading than those with single deficits [28-30].
2.2. Characteristics of Individuals with Dyslexia
As with most learning deficits, dyslexia presents with a
wide array of characteristics in the individuals it affects.
Further, throughout the development from childhood to
adulthood, the difficulties encountered by individuals with
dyslexia are manifested differently. Young children have
difficulty associating sounds with letters, while older
individuals have problems with reading fluency, spelling, and
written expression. These challenges persist into adulthood [2,
6,]. Identifying the signs of dyslexia requires knowing the
features of the condition depending on the age at which it is
first determined to exist.
As aforementioned, researchers have identified preschool
children with dyslexia based on a familial predisposition to the
condition [2, 10] Thompson et al., 2015). Most common
dyslexia characteristics of this preschool, pre-literate
population include challenges in learning to speak, learning
sound and letters, colors and numbers, handwriting, fine
motor skills and sight word identification. The difficulties
these children have with phonology often suggest they may
develop a reading impairment as they mature [10, 31].
Older children with dyslexia may have poor handwriting,
difficulty learning foreign languages, problems organizing
language, memorizing difficulties, spelling errors and
persistent reading, writing and calculating difficulties [10]. In
written language, spelling and recall of multi-syllable words
may be noted. In reading skills, comprehension and decoding
may be a challenge, and slow and often inaccurate reading
skills may be noted. Individuals with dyslexia often show
deficits in phonological word coding, such as understanding
the sounds and meanings or words [2].
The importance of phonological abilities on reading and writing
has been validated across languages but is even more challenging
in language such as English where orthographic symbols are not as
transparent or correlation as their corresponding sound [32]. Due to
this, English-speaking individuals with dyslexia often require
reading and spelling instruction [6].
Science Journal of Education 2019; 7(4): 81-86 83
Cognitively, it has been shown that individuals with
dyslexia have difficulty with recognition of hidden shapes, [33]
poor ability to shift their focus of attention, and deficits in
aspects of working memory related to spoken and written
language (the phonological loop) [34]. In fact, one of the most
frequently named characteristics of dyslexia involves working
memory. When working memory is impaired, a person with
dyslexia has difficulty with the temporary storage of
information while engaged in other cognitive activities at the
same time [35]. The role of verbal working memory becomes
more connected with vocabulary knowledge influencing
adolescents’ ability to read fluently [36].
Another aspect of working memory includes the
orthographic loop (which provides for the ability to form
letters, spell, read and write) and the morphological loop
(which allows for vocabulary and reading development).
Individuals with dyslexia have been shown to have challenges
with the orthographic loop and the morphological loops of
working memory, and thus present with errors of the
aforementioned skills [34]. Instruction for middle childhood
and adolescents with dyslexia must address the
interrelationships among phonology, morphology, and
orthography because English and most other languages have a
morphophonemic orthography [34, 37].
Another population of individuals-those who are gifted but
also have dyslexia-present interventionists, diagnosticians and
language specialists with unique challenges. These individuals,
termed “twice exceptional” often outperform normal peers on
verbal, working memory and language skill tasks but have
delays in phonological awareness and rapid naming tasks.
They also demonstrate very high verbal reasoning, and further,
the challenge for teachers and parents of these individuals thus
lies in identification of dyslexia as abilities of gifted
individuals with dyslexia often mask the effects of dyslexia on
oral and written language tasks as well as standardized tests
[38], while core deficits associated with dyslexia remain [39].
Similarly, characteristics of adults with dyslexia are often
less obvious as often the individual has learned how to
compensate for the condition and its associated challenges.
However, cognitive challenges such as poor phonological
awareness and rapid naming skills, deficits in working
memory and written language may remain [40-42], along with
other cognitive and literacy issues [43].
2.3. A Word on Reversals and Corresponding Conditions
Not all individuals with dyslexia make reversals. Although
individuals with dyslexia have a higher incidence of reversals
than those without dyslexia, not all individuals with dyslexia
demonstrate this characteristic [10, 44].
Some individuals with dyslexia may present with other
conditions also affected by working memory deficits, such as
writing difficulties. As dysgraphia has been shown to occur
concurrently with dyslexia, researchers point to cognitive
assessments of attention regulation and working memory for
individuals with these co-occurring disabilities to best plan
treatment [10, 45].
Table 1. Summary of Characteristics of Individuals with Dyslexia.
The following characteristics are associated with dyslexia:
1. Difficulty with the development of phonological awareness and
phonological processing skills.
2. Difficulty accurately decoding nonsense or unfamiliar words.
3. Difficulty reading single words in isolation.
4. Inaccurate and labored oral reading.
5. Lack of reading fluency.
6. Various degrees of learning the names of letters and their associated
sounds.
7. Difficulty with learning to spell.
8. Difficulty in word finding and rapid naming.
9. Variable difficulty with aspects of written composition.
10. Variable degrees of difficulty with reading comprehension.
3. Identification and Assessment
Identification of individuals with dyslexia can be
challenging, as IQ test and language are not necessarily
indicative of the disorder. The most tried-and-true indicator
that a student may have dyslexia is difficulty learning how to
read. Early identification of children at risk for reading
difficulties may help assess and address this condition as
soon and as optimally as possible. Because dyslexia is a
specific learning disability in word reading and spelling
(written language) characterized by impairments in verbal
working memory, assessment measures of word reading (i.e.,
real words and pseudo words), spelling, and working
memory are necessary for the identification of individuals
with dyslexia. The assessments listed below (Table 2) are
suggested measures for reading and writing outcome and
working memory.
Table 2. Tests for Dyslexia.
Some of the most commonly used tests for dyslexia include:
1. Comprehensive Test of Phonological Processing (CTOPP)-measure of phonological coding
2. Delis Kaplan Executive Function System (D-KEFS)-Color Word Form Inhibition and Verbal Fluency Letters subtests.
3. Gray Oral Reading Test, Fifth Edition (GORT-5)-Accuracy and rate of oral reading of connected text.
4. Process Assessment of the Learner, Second Edition: Diagnostics for Reading and Writing (PAL-II Reading and Writing).
5. RAN/RAS: Rapid Automatized Naming and Rapid Alternating Stimulus Tests.
6. Test of Word Reading Efficiency, Second Edition (TOWRE-2)-Phonemic Decoding Efficiency and Sight Word subtests.
7. Wechsler Individual Achievement Test, Third Edition (WIAT-III) –Spelling subtest.
8. Wechsler Fundamentals: Academic Skills.
9. Wide Range Achievement Test 4 (WRAT4)-Spelling subtest.
10. Woodcock Reading Mastery Tests, Third Edition (WRMT –III)-The Word Identification and the Word Attack subtest.
84 Jane Roitsch and Silvana Watson: An Overview of Dyslexia: Definition, Characteristics,
Assessment, Identification, and Intervention
Intervention Strategies
Once identified, individuals with dyslexia will benefit from
programs targeting letters and phonemes as well as tasks
addressing reading strategies. Word training and decoding
skills, and the use of computers to aid in writing have also
proven beneficial to this population, in individuals as young as
kindergarten age [10, 46].
4. Conclusion
It is suggested that as many as 10 percent of the population
is affected by dyslexia. With the compounding reading and
spelling difficulties that are common to persons with dyslexia,
education and vocation can be adversely affected in this
population if dyslexia is not identified and managed as early
and as effectively as possible.
Common risk factors for dyslexia include having a genetic
predisposition and/or a family member with dyslexia. Imaging
studies suggest right-hemisphere reliance in the brain during
typically left-hemisphere dominant phonological tasks can be
observed in persons with dyslexia. Impairments in
phonological processing and awareness while normal or
above-normal cognitive abilities may also exist in persons
with dyslexia and can cause difficulty and frustration.
Early identification of dyslexia relies on early symptom
recognition. Common characteristics include difficulty
associating sounds with letters, reading dysfluencies, spelling
difficulties, challenges with written expression and poor
handwriting. Tests for dyslexia guide professions in
identification and treatment of the condition. Once identified,
strategies to enhance word training and improve decoding
skills have shown to benefit the reading and writing abilities of
persons with dyslexia.
In this paper, we have attempted to highlight information
regarding the characteristics persons with dyslexia often present
with, as well as review assessment, identification and intervention
strategies currently available. Studies have suggested that this
unique population often presents with normal to above-normal
intelligence, and just as often, normal language skills.
Thus the need for educators, physicians and professionals to
be armed with specific key factors regarding dyslexia and its
identification cannot be understated. Overall, this work wants
to provide information and encourage early assessment and
intervention for children at high-risk for presenting with
dyslexia.
References
[1] Kim, Y. S., Wagner, R. K., & Lopez. D. (2012).
Developmental relations between reading fluency and reading
comprehension: A longitudinal study from Grade 1 to Grade 2.
Journal of Experimental Child Psychology, 113, 93-111.
[2] Snowling, M. J. (2019). Dyslexia: A very short introduction.
Oxford, UK: Oxford University Press.
[3] Berninger, V. W., Lee, YL., Abbott, R. D., & Breznitz, Z.
(2013). Teaching children with dyslexia to spell in a
reading-writers’ workshop. Annals of Dyslexia 63: 1, 1-24.
https://doi.org/10.1007/s11881-011-0054-0
[4] Denton, C. A., Fletcher, J. M., Anthony, J. L., & Francis, D. J.
(2006). An evaluation of intensive intervention for students
with persistent reading difficulties. Journal of Learning
Disabilities, 39 (5), 447–466.
https://doi.org/10.1177/00222194060390050601
[5] Campbell, T. (2011). From aphasia to dyslexia, a fragment of
a genealogy: An analysis of the formation of a ‘medical
diagnosis,’ Health Sociology Review, 20: 4, 450-461, doi:
10.5172/hesr.2011. 20.4.450.
[6] Berninger, V. W., Raskind, W., Richards, T., Abbott, R., &
Stock, P. (2008). A multidisciplinary approach to
understanding developmental dyslexia within
working-memory architecture: Genotypes, phenotypes, brain,
and instruction. Developmental Neuropsychology, 33: 6,
707-744, doi: 10.1080/87565640802418662.
[7] CNRS. (2017, November 28). Dyslexia: When spelling
problems impair writing acquisition. ScienceDaily. Retrieved
August 12, 2019 from
www.sciencedaily.com/releases/2017/11/171128112649.htm
[8] Callens, M. & Brysbaert, M. (2020). Cognitive profile of
students with dyslexia entering post-secondary education. In
D. Perlin, (Ed.), The Wiley Handbook of Adult Literacy, 1st
ed. New Jersey: Wiley & Sons.
[9] Lyon, G. R., Shaywitz, S. E., & Shaywitz, B. A. (2003).
Defining dyslexia, comorbidity, teachers’ knowledge of
language and reading: A definition of dyslexia. Annals of
Dyslexia, 53, 1-14.
http://dx.doi.org/10.1007/s11881-003-0001-9
[10] International Dyslexia Association (IDA, 2019). Dyslexia
Basics. Retrieved from
https://dyslexiaida.org/dyslexia-basics-2/
[11] Thompson, P. A., Hulme, C., Nash, H. M., Gooch, D.,
Hayiou-Thomas, E., & Snowling, M. J. (2015).
Developmental dyslexia: Predicting individual risk. Journal Of
Child Psychology & Psychiatry, 56 (9), 976-987. doi:
10.1111/jcpp.12412.
[12] Pennington, B. F., & Olson, R. K. (2005). Genetics of dyslexia.
In M. J. Snowling & C. Hulme (Eds.), Blackwell Handbooks
of Developmental Psychology.
[13] Raschle, N., Zuk, J., & Gaab, N. (2012). Functional
characteristics of develo pment al dyslexia in
left-h emispher ic post erior brain re gio ns pred ate reading
onset. Proc eedings of the Natio nal Academy of Sciences
of the Un ited St ates of America. 109. 2156-61.
10.1073/pnas.1107721109.
[14] Mascheretti, S., De Luca, A., Trezzi, V., Peruzzo, D., Nordio,
A., Marino, C., & Arrigoni, F. (2017). Neurogenetics of
developmental dyslexia: From genes to behavior through brain
neuroimaging and cognitive and sensorial mechanisms.
Translational Psychiatry, 7 (1), e987.
[15] Van Bergen, E., De Jong, P. F., Maassen, B., & van der Leij, A.
(2014). The effect of parents’ literacy skills and children’s
preliteracy skills on the risk of dyslexia. Journal of Abnormal
Child Psychology, 42 (7), 1187-1200.
Science Journal of Education 2019; 7(4): 81-86 85
[16] Casanova, M. F., El-Baz, A. S., Giedd, J., Rumsey, J. M., &
Switala, A. E. (2010). Increased white matter gyral depth in
dyslexia: Implications for corticocortical connectivity. Journal
of Autism and Developmental Disorders, 40 (1), 21-29.
[17] Richards, T. L., Grabowski, T. J., Boord, P., Yagle, K., Askren,
M., Mestre, Z., Robinson, P., Welker, O., Gulliford, D., Nagy,
W. and Berninger, V., (2015). Contrasting brain patterns of
writing-related DTI parameters, fMRI connectivity, and DTI–
fMRI connectivity correlations in children with and without
dysgraphia or dyslexia. NeuroImage: Clinical, 8, pp. 408-421.
[18] Xu, M., Yang, J., Siok, W. T., & Tan, L. H. (2015). Atypical
lateralization of phonological working memory in
developmental dyslexia. Journal of Neurolinguistics, 33,
67-77.
[19] Pugh, K. R., Mencl, W. E., Jenner, A. R., Katz, L., Frost, S. J.,
Lee, J. R., Shaywitz, S. E. and Shaywitz, B. A., 2001.
Neurobiological studies of reading and reading disability.
Journal of Communication Disorders, 34 (6), 479-492.
[20] Shaywitz, S. E. (2003). Overcoming dyslexia: A new and
complete science-based program for reading problems at any
level. Knopf.
[21] Kovelman, I., Norton, E. S., Christodoulou, J. A., Gaab, N.,
Lieberman, D. A., Triantafyllou, C., Wolf, M.,
Whitfield-Gabrieli, S. and Gabrieli, J. D., 2011. Brain basis of
phonological awareness for spoken language in children and
its disruption in dyslexia. Cerebral Cortex, 22 (4), pp.
754-764.
[22] Jensen, J., & Brieger, D. (2005). Learning disorders. In K.
Cheng & K. Myers (Eds.), Child and Adolescent Psychiatry:
The essentials (pp. 281–298). Philadelphia: Lippincott,
Williams and Wilkins.
[23] King, B., Wood, C., & Faulkner, D. (2008). Sensitivity to
visual and auditory stimuli in children with developmental
dyslexia. Dyslexia, 14 (2), 116-141.
[24] Ackerman, P. T., & Dykman, R. A. (1993). Phonological
processes, confrontational naming, and immediate memory in
dyslexia. Journal of Learning Disabilities, 26 (9), 597-609.
[25] Katzir, T., Kim, Y. S., Wolf, M., Morris, R., & Lovett, M. W.
(2008). The varieties of pathways to dysfluent reading:
Comparing subtypes of children with dyslexia at letter, word,
and connected text levels of reading. Journal of Learning
Disabilities, 41 (1), 47-66.
[26] Wolf, M., & Bowers, P. G. (1999). The double-deficit
hypothesis for the developmental dyslexias. Journal of
Educational Psychology, 91 (3), 415.
[27] Denckla, M. B., & Rudel, R. G. (1976). Rapid
‘automatized’naming (RAN): Dyslexia differentiated from
other learning disabilities. Neuropsychologia, 14 (4), 471-479.
[28] Norton, E. S., & Wolf, M. (2012). Rapid automatized naming
(RAN) and reading fluency: Implications for understanding
and treatment of reading disabilities. Annual Review of
Psychology, 63, 427-452.
[29] Compton, D. L., Defries, J. C., & Olson, R. K. (2001). Are
RAN and phonological awareness-deficits additive in
children with reading disabilities? Dyslexia, 7 (3), 125-149.
[30] King, W. M., Giess, S. A., & Lombardino, L. J. (2007).
Subtyping of children with developmental dyslexia via
bootstrap aggregated clustering and the gap statistic:
comparison with the doubledeficit hypothesis. International
Journal of Language & Communication Disorders, 42 (1),
77-95.
[31] Nash, H. M., Hulme, C., Gooch, D., & Snowling, M. J. (2013).
Preschool language profiles of children at family risk of
dyslexia: continuities with specific language impairment.
Journal of Child Psychology & Psychiatry, 54 (9), 958-968.
doi: 10.1111/jcpp.12091.
[32] Ziegler, J. C., & Goswami, U. (2005). Reading acquisition,
developmental dyslexia, and skilled reading across languages:
a psycholinguistic grain size theory. Psychological Bulletin,
131 (1), 3.
[33] Martinelli, V. v., & Schembri, J. (2014). Dyslexia, spatial
awareness and creativity in adolescent boys. Psychology of
Education Review, 38 (2), 39-47.
[34] Berninger, V. W., Richards, T. L., & Abbott, R. D. (2015).
Differential diagnosis of dysgraphia, dyslexia, and OWL LD:
Behavioral and neuroimaging evidence. Reading and Writing,
28 (8), 1119-1153.
[35] Baddeley, A. (1992). Working memory: The interface between
memory and cognition. Journal of Cognitive Neuroscience, 4
(3), 281-288.
[36] Shaywitz, S. E., Morris, R., & Shaywitz, B. A. (2008). The
education of dyslexic children from childhood to young
adulthood. Annual Review of Psychology, 59, 451-475.
[37] Cahill, L., Tiberius, C., & Herring, J. (2013). PolyOrth:
Orthography, phonology and morphology in inheritance
lexicons. Written Language & Literacy, 16 (2), 146-185.
[38] van Viersen, S., Kroesbergen, E. H., Slot, E. M., & de Bree, E.
H. (2016). High reading skills mask dyslexia in gifted children.
Journal of Learning Disabilities, 49 (2), 189-199.
[39] Nielsen, K., Abbott, R., Griffin, W., Lott, J., Raskind, W., &
Berninger, V. W. (2016). Evidence-based reading and writing
assessment for dyslexia in adolescents and young adults.
Learning disabilities (Pittsburgh, Pa.), 21 (1), 38.
[40] Berch, D. B. (2011). Working memory limitations in
mathematics learning: Their development, assessment, and
remediation. Perspectives on Language and Literacy, 37 (2),
21.
[41] Bogdanowicz, K. M., Łockiewicz, M., Bogdanowicz, M., &
Pąchalska, M. (2014). Characteristics of cognitive deficits and
writing skills of Polish adults with developmental dyslexia.
International Journal of Psychophysiology, 93 (1), 78-83.
[42] Kilpatrick, D. A. (2015). Essentials of assessing,
preventing, and overcoming reading difficulties. John
Wiley & Sons.
[43] Chung, K. K., Ho, C. S. H., Chan, D. W., Tsang, S. M., & Lee,
S. H. (2011). Cognitive skills and literacy performance of
Chinese adolescents with and without dyslexia. Reading and
Writing, 24 (7), 835-859.
[44] Brooks, A. D., Berninger, V. W., & Abbott, R. D. (2011).
Letter Naming and Letter Writing Reversals in Children With
Dyslexia: Momentary Inefficiency in the Phonological and
Orthographic Loops of Working Memory. Developmental
Neuropsychology, 36 (7), 847-868.
86 Jane Roitsch and Silvana Watson: An Overview of Dyslexia: Definition, Characteristics,
Assessment, Identification, and Intervention
[45] Lopes-Silva, J. B., Moura, R., Júlio-Costa, A., Wood, G., Salles,
J. F., & Haase, V. G. (2016). What is specific and what is
shared between numbers and words? Frontiers in Psychology, 7,
22.
[46] Drigas, A. D., & Elektra, B. E. (2016). Dyslexia and ICTs,
Assessment and Early Intervention in Kindergarten.
International Journal of Emerging Technologies in Learning, 11
(2), 53-56. doi: 10.3991/ijet.v11i2.5193.
... The primary purpose is to investigate parents' significant issues, with a focus on those intensified by poor attitudes and limited access to necessities. Additionally, the investigation will assess the impact of these barriers on the learning of children with dyslexia, based on study findings from Roitsch and Watson (2019). This research aims to present best practices for increasing access to learning resources and supporting children with dyslexia and their parents nationwide. ...
Article
Full-text available
The primary purpose of this review is to highlight the challenges that parents experience in raising children with dyslexia. Although neurodevelopmental conditions affecting reading, spelling, and decoding are more commonly reported in high-income countries, similar challenges are often overlooked in resource-constrained areas such as Chivi district in Zimbabwe. The review examined relevant sources, particularly parental experiences, educational dilemmas, societal prejudices, and the ways in which rural parents in Zimbabwe raise their children. Searching across Google Scholar, PubMed, and ERIC, systematic data extraction from scholarly literature was done. A thorough search produced 30 studies. Therefore, only 12 studies were appraised using the provided selection criteria. Some of the significant challenges in assisting individuals with dyslexia include a lack of resources, poorly trained teachers, and a limited understanding of the population as a whole. However, a lack of longitudinal data and the minimal involvement of different groups put some limits on the review. Addressing the findings highlights the need for enhanced teacher education, increased community outreach, and awareness programs for children with dyslexia and their parents. According to the recommendations, further work is needed to reach wider communities and overcome challenges in practice.
... in the educational perspective, acquiring language literacy is considered crucial to be a full member of Western society, with most pupils achieving fluent reading and writing skills. approximately 10% of the Western population are affected by dyslexia (roitsch & Watson, 2019). on the other hand, fluent music reading, or sight-reading-defined as the ability to perform notated music without prior rehearsalis a skill mastered by relatively few musicians and amateurs in Western culture (asmus, 2004; green, 2002; gudmundsdottir, 2010). ...
Article
Full-text available
This study explores the possible influence of musical notation writing activities on the understanding of basic Western musical notation, in the light of the interrelation between language reading and writing. The main research question was: How can writing activities influence the understanding of a musical notation system among late elementary and early intermediate instrumental pupils? In addition, information was collected about the instrumental teachers’ experience from using music writing activities as a part of instrumental lessons. The participants were two teachers and 18 instrumental pupils aged 8–11, from an extracurricular School of Music and Performing Arts in Western Norway. They took part in an experiment focusing on music writing, and in two interviews with elements of pre- and post-tests. The findings indicate that the use of writing activities can contribute to a deeper understanding of musical notation. Reading ability does not seem to transfer automatically to writing ability in music. The findings are discussed in an educational perspective, emphasising using music writing as a tool for (1) the development of music literacy skills, (2) assessment of the level of understanding of musical notation and (3) increasing pupils’ engagement in instrumental lessons.
... Dyslexia researchers are therefore faced with a unique challenge, where they must either rely on genetically modified animals with an unknowable degree of symptomatic specificity or work exclusively with dyslexic individuals, which necessarily entails higher hurdles related to recruiting, turnaround times, interindividual differences, etc. (Roitsch & Watson, 2019). Thus, a reliable model of dyslexia would fill a gap in investigatory approaches in dyslexia research. ...
Preprint
Dyslexia is a prevalent developmental disorder marked by deficits in literacy skills. Given that the core deficits of dyslexia are uniquely human, animal models have not been as useful in dyslexia research as they have been in other areas of research. While significant progress has been made through behavioral and neuroimaging studies, a viable model could facilitate controlled investigations into the neural mechanisms underlying dyslexia and accelerate the development of targeted interventions. In this hypothesis article, we propose a two-pronged approach to model dyslexia in neurotypical adults using neuroimaging and neuromodulation techniques. First, we propose using functional and structural MRI data to cluster individuals into neuropathologically derived subgroups in order to facilitate the classification of dyslexia subtypes based on neuropathological characteristics. Second, we propose employing transcranial temporal interference stimulation (tTIS) to temporarily downregulate activity in brain regions specified in the clustering analysis, inducing subtype-specific dyslexic symptoms in neurotypical individuals. This approach enables the establishment of causal or probabilistic relationships between neuropathologies and dyslexia subtypes, while at the same time creating dyslexia models to facilitate investigation into subtype-specific interventions. By integrating neuroimaging and neuromodulation, we hope to offer a viable substitute for animal models in dyslexia and accelerate the development of personalized therapeutic strategies for dyslexia.
... By contrast, the use of accessible font types at a sufficient size in the main text as an accessibility practice was never mentioned in reviewed guidelines. Yet, accessible fonts benefit people with visual impairments (for example, low vision, estimated to impact around 2-5% of the US population) 16,17 and reading disabilities (for example, dyslexia, estimated to impact 5-10% of people) 9,18 . The Web Content Accessibility Guidelines 6 , Section 508 (ref. ...
Article
Full-text available
Recent work has illuminated huge inequities in academic publishing based on author demographics such as assumed gender, geography, language and prestige. Yet, little attention has been paid to the inequities that scientists with disabilities face. We reviewed the websites of 541 ecology and evolution journals to examine the extent to which they prompt authors to prepare accessible manuscripts. Here we show that nearly three-quarters of journals do not encourage authors to consider accessibility when preparing manuscripts. Existing guidelines focus primarily on colour-blind-friendly figures, which were mentioned almost twice as often as any other recommendation. Our survey signals an urgent need for widespread journal policy reforms that require authors to format their manuscripts according to Universal Design principles. As a starting point to improving manuscript accessibility, we provide an accessibility checklist for authors to reference when preparing manuscripts. We conclude with recommendations for an iterative process of reform in collaboration with the disability community.
Chapter
The relationship between literacy and precursor skills is described, covering intelligence, phonetic/phonological as well as linguistic skills (both semantic and syntactic-morphological) and psychomotor abilities. After presentation of the academic stages of normal individuals of different ages, medical diagnostic measures are indicated in context with interdisciplinary tools. Modern neuroimaging techniques are explained, and risk factors are described. The correlations between reading and spelling disorders, general achievement in school, general cognitive ability, mathematical ability, speech and language development, as well as attention and concentration deficits are defined. The need to combine quantitative and qualitative test results of logopaedic/SLP and pedagogic examinations with the estimation of specific additional precursor and partial abilities to derive individual goals of intervention is shown. Neurological examination procedures and a battery of neuropsychological and psychometric tests for determining specific learning disorders are presented. Basic and specific methods are introduced for diagnosis and differential diagnostics in respect of specific learning disorders in children and adolescents considering attention deficit disorders. Possible interactions with auditory processing disorder are elucidated.
Article
Over the past few decades, virtual reality (VR) has attracted significant academic interest due to its potential to transform traditional educational experiences into highly engaging and interactive environments. VR technology, with its immersive learning capabilities, has been rigorously tested and developed in STEM education and other disciplines, showing promising results. Students with dyslexia, who often struggle with accurate or fluent word recognition and spelling skills, face challenges that traditional learning materials do not effectively address. This study focuses on students with dyslexia, exploring the current state of VR‐based learning materials in primary and secondary education. It presents a systematic literature review of articles published between 2018 and 2023 to analyse the development of this field over the past five years, the types of VR technology used, and the benefits for dyslexic students at different educational stages. The results reveal that the use of VR for developing learning materials for students with dyslexia is still in its early stages and relatively limited. These findings may guide teachers and curriculum designers in leveraging VR to better support students with dyslexia, and they highlight the need for further empirical research in this area.
Book
Çalışma Belleği Nedir? Yasin GÜNLÜ Çalışma Belleğine İlişkin Yaklaşımlar ve Modeller Cebrail TURNA Çalışma Belleğinin Öğrenmedeki Rolü Deniz AKDAL Nurettin YILMAZ Fatih YÜZBAŞIOĞLU Çalışma Belleği ve Dil Şaziye SEÇKİN YILMAZ Seda ESERSİN Diğdem SEÇKİN Çalışma Belleği ve Okuma Selcen GÜNDOĞDU Mehtap COŞGUN BAŞAR Çalışma Belleği ve Okuduğunu Anlama Emre LAÇİN Çalışma Belleği ve Yazma Mustafa CEYLAN Çalışma Belleği ve Matematik Selma TUFAN Çalışma Belleği Performansının Değerlendirilmesi Osman GEDİK Çalışma Belleği Müdahaleleri Çağla ÖZGÜR YILMAZ Çalışma Belleği ve Öğrenme Güçlüğü Betül ŞİMŞİR DER Çağla ÖZGÜR YILMAZ
Article
Introduction The current study aimed to develop and validate a machine learning (ML)–based predictive models for early dyslexia detection in children by integrating neurocognitive, linguistic and behavioural predictors. Method A cross‐sectional study was conducted with 300 Saudi Arabian children (150 children with dyslexia, 150 controls) aged 6–12 years and their parents. Participants underwent assessments for attention, phonological awareness, rapid automatised naming (RAN), cognitive flexibility and other predictors. Four ML models—logistic regression, random forest, XGBoost and an ensemble—were trained and evaluated using performance metrics (AUC, sensitivity, specificity). Recursive feature elimination (RFE) identified key predictors. Results The RFE (15‐fold cross‐validation) identified attention, RAN, early language delay, phonological awareness and cognitive flexibility as the top five predictors of dyslexia. The ML models demonstrated high diagnostic accuracy for dyslexia detection. Logistic regression achieved superior performance with an area under the curve (AUC) of 0.95 (95% CI: 0.92–0.98), sensitivity of 97%, specificity of 91% and overall accuracy of 94%. Random forest and XGBoost yielded slightly lower but robust AUCs (0.91 and 0.93, respectively), with balanced sensitivity (95%) and specificity (91%). The ensemble model harmonised algorithmic strengths, retaining an AUC of 0.93 while prioritising interpretability through weighted contributions from XGBoost (40%), random forest (30%) and logistic regression (30%). Conclusion This study demonstrated the transformative potential of ML in dyslexia diagnostics. By systematically prioritising phonological awareness, RAN and attention deficits, ML models offer a scalable, objective framework for early identification. These tools could alleviate reliance on subjective assessments, enabling timely interventions to mitigate dyslexia's long‐term impacts.
Article
Through the analysis of 74 studies, we examine how eye-tracking technology has been applied to address ADHD-related challenges, the specific methods used, and the correlations between eye-tracking metrics and ADHD symptoms in youth.Results and conclusions: The findings suggest that eye-tracking offers a non-invasive and reliable approach to objectively assess domains such as visual processing characteristics, early detection or interventions. By discussing both the achievements and limitations of the reviewed studies, this paper not only consolidates existing knowledge but also proposes avenues for future research to enhance support for children and adolescents with ADHD.
Article
Full-text available
This study investigates the implementation of hybrid learning adopting a multisensory approach in an English classroom with dyslexic students. The participants involved in this study were dyslexic English learners and their English teachers. The participants were selected using a purposive technique and used qualitative methods. Data was collected using semi-structured interviews of five dyslexic English learners and four English teachers. The research findings revealed that most teachers and dyslexic learners prefer offline learning to online learning. As for taking English exams, the participants' perspectives were divided. However, most of them showed similar opinions on how to submit English assignments online. Regarding the source of English materials, English teachers believe that English learning materials are digital. Meanwhile, dyslexic learners preferred physical learning materials. Participants gave various reasons and considerations to support their preference for these four aspects of search. Furthermore, in hybrid English learning, the teachers integrated almost all visual, auditory, kinesthetic and tactile elements of the multisensory approach. They utilize a variety of learning media to support the use of the multisensory approach. In addition, there are some challenges faced by teachers in implementing multisensory approach in hybrid English learning.
Chapter
Full-text available
Internationally, an increase in the numbers of students with dyslexia in higher education is noticeable. Consequently, more and more information has been collected on the cognitive profile of these students compared to their non-disabled peers. In this chapter an overview is provided on the cognitive functioning of this group of students and the implications these characteristics may have on their academic functioning. Furthermore, this review provides a theoretical framework for the optimization of guidance protocols for students with dyslexia in higher education.
Article
Full-text available
Developmental dyslexia (DD) is a complex neurodevelopmental deficit characterized by impaired reading acquisition, in spite of adequate neurological and sensorial conditions, educational opportunities and normal intelligence. Despite the successful characterization of DD-susceptibility genes, we are far from understanding the molecular etiological pathways underlying the development of reading (dis)ability. By focusing mainly on clinical phenotypes, the molecular genetics approach has yielded mixed results. More optimally reduced measures of functioning, that is, intermediate phenotypes (IPs), represent a target for researching disease-associated genetic variants and for elucidating the underlying mechanisms. Imaging data provide a viable IP for complex neurobehavioral disorders and have been extensively used to investigate both morphological, structural and functional brain abnormalities in DD. Performing joint genetic and neuroimaging studies in humans is an emerging strategy to link DD-candidate genes to the brain structure and function. A limited number of studies has already pursued the imaging–genetics integration in DD. However, the results are still not sufficient to unravel the complexity of the reading circuit due to heterogeneous study design and data processing. Here, we propose an interdisciplinary, multilevel, imaging–genetic approach to disentangle the pathways from genes to behavior. As the presence of putative functional genetic variants has been provided and as genetic associations with specific cognitive/sensorial mechanisms have been reported, new hypothesis-driven imaging–genetic studies must gain momentum. This approach would lead to the optimization of diagnostic criteria and to the early identification of 'biologically at-risk' children, supporting the definition of adequate and well-timed prevention strategies and the implementation of novel, specific remediation approach.
Article
Full-text available
Reading and spelling performance have a significant correlation with number transcoding, which is the ability to establish a relationship between the verbal and Arabic representations of numbers, when a conversion of numerical symbols from one notation to the other is necessary. The aim of the present study is to reveal shared and non-shared mechanisms involved in reading and writing of words and Arabic numerals in Brazilian school-aged children. One hundred and seventy-two children from second to fourth grades were evaluated. All of them had normal intelligence. We conducted a series of hierarchical regression models using scores on word spelling and reading single words and Arabic numerals, as dependent variables. As predictor variables we investigated intelligence, the phonological and visuospatial components of working memory (WM) and phonemic awareness. All of the writing and reading tasks (single word spelling and reading as well as number reading and number writing) were significantly correlated to each other. In the regression models, phonological WM was specifically associated to word reading. Phonemic awareness was the only cognitive variable that systematically predicted all of the school skills investigated, both numerical and word tasks. This suggests that phonemic awareness is a modular cognitive ability shared by several school tasks and might be an important factor associated to the comorbidity between dyslexia and dyscalculia.
Article
Full-text available
In Study 1, children in grades 4–9 (N = 88, 29 females and 59 males) with persisting reading and/or writing disabilities, despite considerable prior specialized instruction in and out of school, were given an evidence-based comprehensive assessment battery at the university while parents completed questionnaires regarding past and current history of language learning and other difficulties. Profiles (patterns) of normed measures for different levels of oral and written language used to categorize participants into diagnostic groups for dysgraphia (impaired subword handwriting) (n = 26), dyslexia (impaired word spelling and reading) (n = 38), or oral and written language learning disability OWL LD (impaired oral and written syntax comprehension and expression) (n = 13) or control oral and written language learners (OWLs) without specific learning disabilities (SLDs) (n = 11) were consistent with reported history. Impairments in working memory components supporting language learning were also examined. In Study 2, right handed children from Study 1 who did not wear braces (controls, n = 9, dysgraphia, n = 14; dyslexia, n = 17, OWL LD, n = 5) completed an fMRI functional connectivity brain imaging study in which they performed a word-specific spelling judgment task, which is related to both word reading and spelling, and may be impaired in dysgraphia, dyslexia, and OWL LD for different reasons. fMRI functional connectivity from 4 seed points in brain locations involved in written word processing to other brain regions also differentiated dysgraphia, dyslexia, and OWL LD; both specific regions to which connected and overall number of functional connections differed. Thus, results provide converging neurological and behavioral evidence, for dysgraphia, dyslexia, and OWL LD being different, diagnosable SLDs for persisting written language problems during middle childhood and early adolescence. Translation of the research findings into practice at policy and administrative levels and at local school levels is discussed.
Article
Full-text available
Background Causal theories of dyslexia suggest that it is a heritable disorder, which is the outcome of multiple risk factors. However, whether early screening for dyslexia is viable is not yet known.Methods The study followed children at high risk of dyslexia from preschool through the early primary years assessing them from age 3 years and 6 months (T1) at approximately annual intervals on tasks tapping cognitive, language, and executive-motor skills. The children were recruited to three groups: children at family risk of dyslexia, children with concerns regarding speech, and language development at 3;06 years and controls considered to be typically developing. At 8 years, children were classified as ‘dyslexic’ or not. Logistic regression models were used to predict the individual risk of dyslexia and to investigate how risk factors accumulate to predict poor literacy outcomes.ResultsFamily-risk status was a stronger predictor of dyslexia at 8 years than low language in preschool. Additional predictors in the preschool years include letter knowledge, phonological awareness, rapid automatized naming, and executive skills. At the time of school entry, language skills become significant predictors, and motor skills add a small but significant increase to the prediction probability. We present classification accuracy using different probability cutoffs for logistic regression models and ROC curves to highlight the accumulation of risk factors at the individual level.Conclusions Dyslexia is the outcome of multiple risk factors and children with language difficulties at school entry are at high risk. Family history of dyslexia is a predictor of literacy outcome from the preschool years. However, screening does not reach an acceptable clinical level until close to school entry when letter knowledge, phonological awareness, and RAN, rather than family risk, together provide good sensitivity and specificity as a screening battery.
Article
Anecdotal evidence suggests that dyslexia may be associated with enhanced visual-spatial ability and creativity. This study set out to explore the possibility of superior visual-spatial skills and creativity in matched research and comparison groups of 24 students each at age 12 years 10 months. All 24 participants with formally diagnosed dyslexia were closely matched for age, socio-economic status, type of school attended and a measure of ability with 24 non-dyslexic peers. They were assessed on all the sections of the Spatial Reasoning Test (12-year-old section) and the Torrance Test for Creativity. No differences were found between the two groups on the Torrance Test for Creativity, but the comparison group registered a statistically significant advantage over the dyslexic group on one spatial task: Recognition of Hidden Shapes.
Book
Dyslexia: A Very Short Introduction provides an accessible overview of the innovative research surrounding dyslexia, beginning with its history, and drawing on the experiences of children and adults with dyslexia today. Considering the skills involved in learning to read, and looking at the role of genetic and environmental factors including the language of learning, this VSI discusses the causes of dyslexia and its associated risk factors. Discussing the various brain-scanning techniques that have been used to find out if the brains of people with dyslexia differ in structure or function from those of typical readers, it moves on to weigh up various strategies and interventions that can help people living with dyslexia today.
Article
The same working memory and reading and writing achievement phenotypes (behavioral markers of genetic variants) validated in prior research with younger children and older adults in a multi-generational family genetics study of dyslexia were used to study 81 adolescent and young adults (ages 16 to 25) from that study. Dyslexia is impaired word reading and spelling skills below the population mean and ability to use oral language to express thinking. These working memory predictor measures were given and used to predict reading and writing achievement: Coding (storing and processing) heard and spoken words (phonological coding), read and written words (orthographic coding), base words and affixes (morphological coding), and accumulating words over time (syntax coding); Cross-Code Integration (phonological loop for linking phonological name and orthographic letter codes and orthographic loop for linking orthographic letter codes and finger sequencing codes), and Supervisory Attention (focused and switching attention and self-monitoring during written word finding). Multiple regressions showed that most predictors explained individual difference in at least one reading or writing outcome, but which predictors explained unique variance beyond shared variance depended on outcome. ANOVAs confirmed that research-supported criteria for dyslexia validated for younger children and their parents could be used to diagnose which adolescents and young adults did (n=31) or did not (n=50) meet research criteria for dyslexia. Findings are discussed in reference to the heterogeneity of phenotypes (behavioral markers of genetic variables) and their application to assessment for accommodations and ongoing instruction for adolescents and young adults with dyslexia.
Article
Having a difficulty with reading, or being unable to read, has not always been a medical problem. In the late nineteenth century, physicians such as (Broadbent 1872; Hinshelwood 1895) became interested in identifying particular bodies with reading difficulties. This article is focused around the question of ‘how’ reading difficulties were formed as a concern for medical researchers. It shall be suggested that the existence of acquired word-blindness as a legitimate medical diagnosis had established the inability to read or difficulty with reading as a medical concern, albeit with a different aetiology. This constituted the practical conditions and established a vocabulary that made congenital word-blindness a technically feasible diagnosis. The medical concern for a difficulty with reading was in most cases a concern with how this difficulty could be overcome. The clinical criteria that were negotiated for congenital word-blindness seem to have been negotiated in relation to rationalities of government concerned with capitalising the population. This article forms part of part a wider project to use analytical concepts drawn from Michel Foucault to help map a genealogy of dyslexia.