Project DyAdd: Implicit learning in adult dyslexia and ADHD

In this study of the project DyAdd, implicit learning was investigated through two paradigms in adults (18–55 years) with dyslexia (n?=?36) or with attention deficit/hyperactivity disorder (ADHD, n?=?22) and in controls (n?=?35). In the serial reaction time (SRT) task, there were no group differences in learning. However, those with ADHD exhibited faster RTs compared to other groups. In the artificial grammar learning (AGL) task, the groups did not differ from each other in their learning (i.e., grammaticality accuracy or similarity choices). Further, all three groups were sensitive to fragment overlap between learning and test-phase items (i.e., similarity choices were above chance). Grammaticality performance of control participants was above chance, but that of participants with dyslexia and participants with ADHD failed to differ from chance, indicating impaired grammaticality learning in these groups. While the main indices of AGL performance, grammaticality accuracy and similarity choices did not correlate with the neuropsychological variables that reflected dyslexia-related (phonological processing, reading, spelling, arithmetic) or ADHD-related characteristics (executive functions, attention), or intelligence, the explicit knowledge for the AGL grammar (i.e., ability to freely generate grammatical strings) correlated positively with the variables of phonological processing and reading. Further, SRT reaction times correlated positively with full scale intelligence quotient (FIQ). We conclude that, in AGL, learning difficulties of the underlying rule structure (as measured by grammaticality) are associated with dyslexia and ADHD. However, learning in AGL is not related to the defining neuropsychological features of dyslexia or ADHD. Instead, the resulting explicit knowledge relates to characteristics of dyslexia.     

Implicit sequence learning is preserved in dyslexic children

This study investigates the implicit sequence learning abilities of dyslexic children using an artificial grammar learning task with an extended exposure period. Twenty children with developmental dyslexia participated in the study and were matched with two control groups—one matched for age and other for reading skills. During 3 days, all participants performed an acquisition task, where they were exposed to colored geometrical forms sequences with an underlying grammatical structure. On the last day, after the acquisition task, participants were tested in a grammaticality classification task. Implicit sequence learning was present in dyslexic children, as well as in both control groups, and no differences between groups were observed. These results suggest that implicit learning deficits per se cannot explain the characteristic reading difficulties of the dyslexics.     

Statistical learning and dyslexia: a systematic review

The existing literature on developmental dyslexia (hereafter: dyslexia) often focuses on isolating cognitive skills which differ across dyslexic and control participants. Among potential correlates, previous research has studied group differences between dyslexic and control participants in performance on statistical learning tasks. A statistical learning deficit has been proposed to be a potential cause and/or a marker effect for early detection of dyslexia. It is therefore of practical importance to evaluate the evidence for a group difference. From a theoretical perspective, such a group difference would provide information about the causal chain from statistical learning to reading acquisition. We provide a systematic review of the literature on such a group difference. We conclude that there is insufficient high-quality data to draw conclusions about the presence or absence of an effect.     

Secondary symptoms of dyslexia: a comparison of self-esteem and anxiety profiles of children with and without dyslexia

The secondary symptoms of individuals with dyslexia, such as high anxiety and low self-esteem, have aroused various debates not only in the educational, but also in the clinical context. Since pro and contra arguments are supported by a more or less equal number of empirical findings, no final conclusion could be drawn for this specific phenomenon. The current study aims to contribute more data in this respect and offers a possible explanation for both sides that either support or reject the relationship between dyslexia and its secondary symptoms. The main investigation of this study is the comparison of anxiety and self-esteem profiles of children with and without dyslexia. Participants are 124 school children aged between eight and 11 years. Their IQ as well as their reading and writing ability were also measured and used as control variables. All data were collected and analysed using a quantitative approach. Effect sizes are also provided in order to facilitate meta-analysis in the future and to confirm the results of a significant test. The results indicate that children with dyslexia have anxiety and self-esteem issues in the specific context or domain. However, their general anxiety and self-esteem were not impaired. A discussion regarding the possibility and/or the necessity of the secondary symptoms of dyslexia is also provided.     

Sound-symbol learning in children with dyslexia

This study evaluated the effect of sound-symbol association training on visual and phonological memory in children with a history of dyslexia. Pretests of phonological and visual memory, a sound-symbol training procedure, and phonological and visual memory posttests were administered to children with dyslexia, to children whose dyslexia had been compensated through remedial training, and to age- and reading level-matched comparison groups. Deficits in visual and phonological memory and memory for sound-symbol associations were demonstrated in the dyslexia group. For children with dyslexia and children whose dyslexia had been remediated, the sound-symbol training scores were significantly associated with word and pseudoword reading scores and were significantly lower than those of the comparison groups. Children with dyslexia and children whose dyslexia had been compensated showed significantly less facilitation of phonological memory following the training than did typical readers. Skilled readers showed some reduction in accuracy of visual memory following the training, which may be the result of interference of verbalization with a predominantly visual task. A parallel decrease was not observed in the children with dyslexia, possibly because these children did not use the verbal cues. Children with dyslexia and children whose dyslexia had been compensated seemed to have difficulty encoding the novel sounds in memory. As a result, they derived less phonological memory advantage and less visual memory interference from the training than did typical readers. Children in the compensated dyslexia group scored lower on sound-symbol training than their age peers. In other respects, the scores of these children were equivalent to those of the typically reading comparison groups. Children in the compensated dyslexia group exhibited higher phonological rehearsal, iconic memory, and associative memory scores than children in the dyslexia group. Implications for the remediation of dyslexia are discussed.     

Interactive effect of information structure sequence of information and process learning time on rule learning using computer-based instruction

The purpose of this study was to investigate three instructional design variables hypothesized to improve rule learning by use of information processing methods. These variables included: analysis and structure of information, response-sensitive sequencing of information, and monitoring of learning time. Using secondary education students learning internal punctuation rules, results from two experiments showed that (a) structuring information by a schematic analysis improved learning over a taxonomic analysis, (b) a response-sensitive sequence that first adapted instruction for generalization and second discrimination improved learning over either sequence separately, and (c) program monitoring of the display time interval improved learning over learner control. Findings are discussed in reference to an interactive nature of learning theory, instructional systems, and computer technology.     

Retrieval and evaluation of symbolic information in dyslexia

Summary A group of 35 reading disabled boy and 35 matched controls were studied over a two-year period in order to evaluate the validity of traditional hypotheses about the causes of serious reading impairment in preadolescent boys for whom the common disadvantages of economic privation, bilingualism and emotional instability were absent. The popular hypothesis of perceptual deficit was not supported by the data, although the finding that most reading disabled boys have a short-term memory deficit was affirmed. The most important new findings was that about one-fourth of the reading disabled boys had serious difficulty in maintaining an efficient set to process and/or evaluate information, especially when that information was contained in oral speech. This research was supported by a grant from the Lilly Endowment, Inc. We thank Michelle Shal and Susan Grant for their participation in this work.     

Factors associated with successful learning in pupils with dyslexia: a motivational analysis

In 2002, Neil Humphrey and Patricia Mullins published their research into personal constructs and attribution for academic success and failure in dyslexia in BJSE's 'Research Section'. Their work suggested that pupils with dyslexia, in a range of settings, experience real challenges to their self-esteem and that dyslexia leads to 'negative consequences for their self-development'. This article by Robert Burden, Professor of Applied Educational Psychology at the University of Exeter, and Julia Burdett, an experienced teacher and part-time research assistant, challenges those findings.
Robert Burden and Julia Burdett interviewed 50 boys, aged between 11 and 16, attending an independent special school for pupils with dyslexia. The research tools explored the pupils' attitudes to learning and their sense of personal identity. The general levels of depression and 'learned helplessness' revealed were low in sharp contrast to the positive feelings of self-efficacy, locus of control and commitment to effort as an essential learning strategy reported by the pupils. Burden and Burdett explore the consequences of such cognitive self-appraisal for successful learning outcomes in pupils with dyslexia and speculate about the influence of specialist provision upon the positive self-image of the pupils in their study. They state their intention to take their research further with pupils in mainstream settings.     

Self-perceptions of first- and second-grade children with learning disabilities

The present study addressed the question of the effects of developmental positive bias and repeated experiences of failure on the self-perception of mainstreamed first-and second-grade Israeli children with learning disabilities. The self-perceptions of 44 children with learning disabilities and their 36 nondisabled classmates were assessed. In addition, teachers' evaluations and objective measures of cognitive performance and social acceptance were gathered. The children with learning disabilities were found to have a greater positive bias and lower self-perception in the cognitive competence domain than their normally achieving peers. Self-perceptions of peer acceptance among children with learning disabilities are similar to their normally achieving peers' self-perceptions, in spite of their significantly lower sociometric ratings and teacher evaluations in the social domain. These findings are analyzed in the context of the globality-specificity dimension of self-perceptions at the age level studied. The obtained pattern of self-perceptions is discussed in the light of the interrelationships between cognitive deficit and experimental factors among mainstreamed first- and second-grade children.     

Auditory processing interventions and developmental dyslexia: a comparison of phonemic and rhythmic approaches

The purpose of this study was to compare the efficacy of two auditory processing interventions for developmental dyslexia, one based on rhythm and one based on phonetic training. Thirty-three children with dyslexia participated and were assigned to one of three groups (a) a novel rhythmic processing intervention designed to highlight auditory rhythmic information in non-speech and speech stimuli; (b) a commercially-available phoneme discrimination intervention; and (c) a no-intervention control. The intervention lasted for 6 weeks. Both interventions yielded equivalent and significant gains on measures of phonological awareness (at both rhyme and phoneme levels), with large effect sizes at the phoneme level. Both programs had medium effect sizes on literacy outcome measures, although gains were non-significant when compared to the controls. The data suggest that rhythmic training has an important role to play in developing the phonological skills that are critical for efficient literacy acquisition. It is suggested that combining both prosodic/rhythmic and phonemic cues in auditory training programs may offer advantages for children with developmental dyslexia. This may be especially true for those who appear resistant to conventional phonics training methods.     

A comparison of the WISC information and arithmetic subtests with a multiple choice procedure using kindergarten,first-, and second-grade children

Fifty-nine children in kindergarten, first, and second grade were given the WISC information and arithmetic subtest. Approximately three weeks later, the subjects were presented with the same questions, and four multiple choice answers were shown and read to them. The number of correct responses on each subtest for each presentation method was recorded. The multiple choice method of presentation response yielded significantly higher scaled scores than did the standard WISC presentation with the free response mode of testing.     

Nonverbal disorders of learning: The reverse of dyslexia?

Teacher perceptions of the social-behavioral characteristics of 99 boys were examined. Subjects were divided into three groups (Low Nonverbal, High Nonverbal, Equal) on the basis of their scores on two verbal and two performance WISC-R subtests, considered to be good measures of left- and right-brain functioning. The pattern of strengths and weaknesses shown by Low Nonverbal subjects suggested good left-brain functioning, but a right-brain dysfunction. These subjects were good readers, but relatively weak in arithmetic. Behaviors reported significantly more often for the Low Nonverbal subjects were low motivation, poor work habits, inability to work independently or to take age-related responsibility, disorganization, and poor relationships with peers. High Nonverbal subjects, who exhibited signs of a probable left-brain dysfunction, were usually perceived by their teachers as sociable, responsible, and determined to succeed, in spite of their having language disorders and dyslexia. It is argued that the constellation of behaviors displayed by the Low Nonverbal subjects is part of the right-brain dysfunction syndrome. To date, there are limited resources available for helping such children.     

Evaluating the impact of dyslexia laws on the identification of specific learning disability and dyslexia

Dyslexia is a specific learning disability that impacts word reading accuracy and/or reading fluency. Over half of the states in the USA have passed legislation intended to promote better identification of individuals with dyslexia. To date, no study has been conducted to investigate the potential impact of state laws on the identification of specific learning disability (SLD), and limited data has been presented on the rate at which students in public school settings are identified with dyslexia. The first aim of the current study was to determine if any detectable changes in the identification rates of SLD have occurred in states implementing dyslexia laws because most states do not report number of students identified as dyslexic but rather those students identified with an SLD. The second aim of the study was to characterize the rate of identifying dyslexia in the two states (Texas and Arkansas) that require public schools to report the number of students identified with dyslexia. The third aim was to characterize the identification rate across first to 12th grades. Current SLD rates range from 3.2 to 8.5% in all 50 states. Analysis of SLD prevalence rates did not vary between states with and without dyslexia laws in place. Moreover, there was no change in the identification of SLD once states had implemented these laws. Rates of dyslexia in Arkansas and Texas were less than 5%. Given the persistent levels indicating lack of reading proficiency, our review of data suggests that overall students with dyslexia are being underidentified.     

Language competency,dyslexia, and learning disability

Annals of Dyslexia -     

Comparing first- and third-person perspectives in early elementary learning of honeybee systems

Prior literature has begun to demonstrate that even young children can learn about complex systems using participatory simulations. This study disentangles the impacts of third-person perspectives (offered by traditional simulations) and first-person perspectives (offered by participatory simulations) on children’s development of such systems thinking in the context of the emergent complexity of honeybee nectar foraging. Specifically, we worked with three first-grade classrooms assigned to one of three conditions—instruction through use of a first-person perspective only, third-person perspective only, and integrated instruction—to engage ideas of complex systems thinking. In each condition, systems concepts were targeted through instruction and assessment. The integrated and third-person classrooms demonstrated significant gains while the first-person classroom showed gains that were not statistically significant, suggesting that third-person perspectives play a critical role in how children learn systems thinking. This work also puts forth a novel assessment design for young children using multiple-choice questions.

     

Computer-based learning of spelling skills in children with and without dyslexia

Our spelling training software recodes words into multisensory representations comprising visual and auditory codes. These codes represent information about letters and syllables of a word. An enhanced version, developed for this study, contains an additional phonological code and an improved word selection controller relying on a phoneme-based student model. We investigated the spelling behavior of children by means of learning curves based on log-file data of the previous and the enhanced software version. First, we compared the learning progress of children with dyslexia working either with the previous software (n = 28) or the adapted version (n = 37). Second, we investigated the spelling behavior of children with dyslexia (n = 37) and matched children without dyslexia (n = 25). To gain deeper insight into which factors are relevant for acquiring spelling skills, we analyzed the influence of cognitive abilities, such as attention functions and verbal memory skills, on the learning behavior. All investigations of the learning process are based on learning curve analyses of the collected log-file data. The results evidenced that those children with dyslexia benefit significantly from the additional phonological cue and the corresponding phoneme-based student model. Actually, children with dyslexia improve their spelling skills to the same extent as children without dyslexia and were able to memorize phoneme to grapheme correspondence when given the correct support and adequate training. In addition, children with low attention functions benefit from the structured learning environment. Generally, our data showed that memory sources are supportive cognitive functions for acquiring spelling skills and for using the information cues of a multi-modal learning environment.