Journal of Learning Disabilities最新文献

Specific learning and attention difficulties are often first identified in childhood, but they can cause lifelong academic and occupational challenges. We explored the prevalence of these difficulties and the representation of sex and ethnicity amongst all first-year students in UK higher education across 12 years-almost 5.7 million students-and compared course preferences and University destinations of those with and without difficulties. Students declaring learning/attention difficulties were more likely to be White or of Mixed ethnicity and least likely to be Asian. They were more likely to attend specialist HE institutions or newer universities, and more likely to study courses in creative arts and design, agriculture and architecture than law, languages, computer science, and mathematical sciences. The number of students declaring difficulties has increased year on year, in actual terms and as a proportion of the student body, suggesting that efforts to increase diversity and inclusion have been successful. However, differences remain between students with and without learning/attention difficulties in terms of ethnicity, subjects studied, and HE institutions attended, so more needs to be done to identify and address reasons for this. While this paper reports data from UK students, it addresses an international question and invites similar explorations of other national datasets.

In the current study, we tested a network model of reading difficulty by using state-of-the-art psychological network analysis. Four hundred and fifty-three Chinese first-grade children (about 38% female, mean age = 7.00, SD = 0.41) were divided into good (n = 154), competent (n = 147), and struggling readers (n = 152) based on their scores of Chinese character reading. The Extended Bayesian Information Criterion graphical lasso (EBICglasso) method was applied to estimate cross-sectional networks for the three groups. Each network included four cognitive nodes (homophone awareness, morphological structure awareness, phonological awareness, and vocabulary) and two ecological nodes (family socioeconomic status and the number of books at home). Chronological age and nonverbal intelligence were also included in the estimated networks. The global (i.e., global structure and global connectivity) and local patterns (i.e., the most important edges and nodes) in each network were reported. The network comparison results showed that global connectivity was significantly lower among struggling readers than for good readers, implying that a holistic impairment of bidirectional connections among multiple variables relates to the difficulty in learning to read. The theoretical and empirical implications and the significance of applying the network approach to reading research are discussed.

The long-term negative consequences of learning difficulties have been acknowledged. Nonetheless, research is still scarce regarding the prediction of adolescent difficulties in reading and arithmetic skills. The present study examines at which age phase and with what kind of constellation of parent- and child-related factors can adolescent difficulties in arithmetic and/or reading fluency be successfully predicted. A sample of Finnish children (N = 941) was followed from the onset of kindergarten (at age 6) through adolescence (ages 13-16). Children's cognitive skills were assessed in kindergarten, and arithmetic and reading fluency were examined in Grades 2, 4, 6, 7, and 9. Parents' self-report data were collected on their own learning difficulties and educational level. Scoring below the 16th percentile in both Grades 7 and 9 was set as the criterion for dysfluency either in reading (N = 87, 9.2%) or arithmetic (N = 84, 8.9%). Adolescent dysfluency in both domains was moderately predicted by parental measures and kindergarten cognitive skills. Although adding school-age fluency measures clearly increased both the predictability and specificity of models up to Grade 4 for both skills, knowledge of letters' names, counting, and visuospatial skills remained unique predictors of dysfluency in adolescence.

More than two-thirds of middle school students do not read proficiently. Research has shown that targeted interventions using explicit instruction methods can improve reading outcomes for struggling readers. A central feature of explicit instruction is the systematic implementation of instructional interactions, but it is not clear what specific instructional interaction practices lead to stronger outcomes for middle school readers. This study used a regression discontinuity design to compare the frequency and impact of instructional interactions experienced by U.S. eighth-grade students who received a targeted reading intervention (n = 1,461) with those who did not (n = 4,292). Results indicated that students who received intervention experienced far more instructional interactions with their teachers than did students who did not. However, the association between rates of interaction and student need in the intervention group was minimal, and the relationship between the rate of instructional interactions and reading growth was mixed. Implications for intervening with struggling students in the middle grades are discussed.

Given that inhibition interacts with visual temporal processing (VTP), the past evidence regarding the influence of VTP on the Chinese character reading of children with dyslexia may not disclose the whole picture without considering inhibition. Thus, the present study is among the first to investigate VTP and cognitive inhibition as well as their relationships to Chinese character reading. We compared the performances of 62 Chinese-speaking children with dyslexia in primary school (n = 62, M_age = 11.36 years) on VTP and inhibition tasks to those in a chronological-age-matched group (CA; n = 62, M_age = 11.57 years) and reading-level-matched group (RL; n = 62, M_age = 8.98 years). The results revealed that children with dyslexia performed worse than both the CA-matched and RL-matched groups in VTP and inhibition after controlling for age, nonverbal intelligence, and attention. Moreover, the relationship between VTP and Chinese character reading was moderated by inhibition in children with dyslexia. VTP is positively related to Chinese character reading, but this relationship is observed only at higher levels of inhibition. Our results suggest that inhibition plays a potential role in VTP and Chinese character reading, especially for those with dyslexia whose proficiency in inhibition is not as intact as that of typically developing children.

Despite decades of research efforts, data-based instruction (DBI) for students with intensive intervention needs are not being widely used in practice as anticipated, and many educators have difficulties in implementing it. This systematic review aimed to examine what kinds of implementation drivers and strategies have been used to support educators implementing DBI and what kinds of implementation outcomes researchers have measured. Eighteen studies were synthesized using the Implementation Drivers framework and Implementation Outcomes taxonomy and were quality appraised. We found that the majority of studies primarily used competency drivers to increase teachers' DBI expertise, while a limited number of studies focused on organizational and leadership drivers. Acceptability and fidelity were frequently assessed as implementation outcomes. We discussed the implications of the findings, including the need for researchers to incorporate implementation drivers and outcomes at diverse levels to best support educators' implementation of DBI, as well as the limitations of this review, such as the limited generalizability of the findings.

Data-based decision-making (DBDM) using curriculum-based measurement (CBM) data has demonstrated effectiveness in improving academic achievement for students with or at risk for learning disability. Despite substantial evidence supporting DBDM, its use is not common practice for many educators, even those who regularly collect CBM data. One explanation for its lack of widespread use is that educators may not receive adequate training in the DBDM aspects of CBM. Espin et al. examined the extent to which DBDM is represented in CBM professional development (PD) materials and found that the topic was significantly underrepresented (12% to 14% of CBM PD material content) compared with other CBM topics. The purpose of this study was to conduct a conceptual replication of the Espin et al. systematic review through an analysis of CBM content in practitioner journal articles. The present review includes 29 practitioner articles coded to the four CBM categories used in the Espin et al. study: (a) general CBM information, (b) conducting CBM, (c) data-based decision-making, and (d) other. Results revealed a pattern similar to the one found by Espin et al. with approximately 18% of the content of practitioner articles on CBM devoted to the topic of decision-making. These findings strengthen the recommendation from Espin et al. for increased attention to DBDM in CBM training materials.

We created and tested a family-based intervention with families of children in Grades 1 and 2 with reading and behavioral difficulties to investigate its impact on text comprehension. Developed with input from parents, reading experts, and behavior specialists, Family-RISE (Reading Intervention with Supports for Engagement) integrates evidence-based practices for enhancing students' knowledge of narrative texts with effective behavioral supports to maximize student engagement and minimize disruptive behaviors to help parents engage successfully in shared storybook reading. We assessed the effects of Family-RISE on children's narrative text comprehension using a multiple-baseline design. A functional relation was established between Family-RISE and narrative text comprehension, indicating Family-RISE substantially improved narrative text comprehension. Furthermore, nonoverlap of all pairs, Tau-U, and standard mean difference effect sizes were all considered large in favor of the intervention. Family members reported that the intervention was highly usable, feasible to implement, and socially valid. These findings underscore the promise of the Family-RISE intervention and the value of developing interventions that simultaneously support reading and behavior for children with co-occurring difficulties in these areas.

Schools conduct comprehensive psychoeducational evaluations to identify students with specific learning disabilities (SLDs) and determine whether they qualify for special education services. This decision-making process is complex and research has documented many factors influencing SLD identification decisions. One such factor may be decision-makers' beliefs about the underlying causes of SLD, including intrinsic and extrinsic factors. However, no studies to date have examined the underlying factor structure of the responses to prompts about the causes of SLD from intrinsic and extrinsic perspectives. This study was conducted with a sample of 521 school psychologists as part of a larger study examining decision-making during SLD identification. Using confirmatory factor analyses (CFA) to compare two theoretically plausible models, results suggested that a single latent factor best captured variability in responses to these prompts. Implications for assessing beliefs and how they impact the psychoeducational assessment process to identify SLDs are discussed, along with areas for future research.