Word problem-solving (WPS) poses a significant challenge for many students, particularly those with mathematics difficulties (MD), hindering their overall mathematical development. To improve WPS proficiency, providing individualized and intensive interventions is critical. This umbrella review examined 11 medium- to high-quality meta-analyses to identify intervention and participant characteristics, informed by the Taxonomy of Intervention Intensity (TII) framework, that consistently moderate WPS outcomes for students with MD. Our analysis identified four characteristics with consistent moderating effects: intervention model, number of treatment sessions, group size, and academic risk area. This result suggests that these variables are potential considerations when customizing and intensifying WPS interventions to maximize their effectiveness for students with MD. We discuss the implications of these findings for practice and research and acknowledge the limitations of our review.

We examined whether Phonics + Set for Variability (SV) reading intervention would lead to better irregular word reading compared to Phonics + Morphology within a cluster randomized control trial (RCT) design with a follow-up measurement. The participants were 273 Grade 2 and 3 students with reading difficulties (139 in the Phonics + SV and 134 in the Phonics + Morphology) who received intervention in small groups (2-4 children), 4 times a week, 30 minutes each time, for 15 weeks. Results of hierarchical linear modeling showed that there was a significant effect of intervention on all reading outcomes (e.g., from pre- to posttest the effect sizes for Phonics + SV ranged from = 0.74 to 1.54 and for Phonics + Morphology from = 0.75 to 1.49). Unexpectedly, there were no differences between the intervention conditions in any of the outcome variables, including irregular word reading and morphological awareness that the interventions partly focused on.

In this article, we introduce the term , which refers to differentially low achievement when shifts in the educational environment "stress" or threaten the capacity of an individual or a group of individuals to make academic progress. We also introduce a methodological framework for assessing vulnerability to achievement stressors. Vulnerability to achievement stressors in students with learning disabilities (LD), relative to students without disabilities, is illustrated with two achievement stressors: (a) the shift in learning standards codified in Common Core State Standards, specifically the increase in complexity of the fourth-grade fractions curriculum, and (b) the COVID-19 pandemic, which decreased instructional structure by disrupting in-person teaching. Because these illustrations were embedded within randomized controlled trials, each with an inclusive instruction condition and an intensive intervention condition, they also provide the basis for concluding that intensive intervention is more effective than inclusive instruction for addressing students with LD's vulnerability to achievement stressors and for narrowing their persistently severe achievement gaps.

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, = 0.41) were divided into good ( = 154), competent ( = 147), and struggling readers ( = 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.

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.

Although data-based individualization (DBI) has positive effects on learning outcomes for students with learning difficulties, this framework can be difficult for teachers to implement due to its complexity and contextual barriers. The first aim of this synthesis was to investigate the effects of ongoing professional development (PD) support for DBI on teachers' DBI knowledge, skills, beliefs, and fidelity and the achievement of preschool to Grade 12 students with academic difficulties. The second aim was to report on characteristics of this support and explore whether features were associated with effects. We identified 26 studies, 16 and 22 of which examined teacher and student outcomes, respectively. Meta-analyses indicated that the weighted mean effect size for DBI with ongoing support for teachers was = 0.86 (95% confidence interval [CI] = [0.43, 1.28], < .001, = 83.74%, = 46) and = 0.31 for students (95% CI = [0.19, 0.42], < .001, = 61.38%, = 103). We did not identify moderators of treatment effects. However, subset effects were descriptively larger for ongoing support that targeted data-based instructional changes or included collaborative problem-solving. Researchers may improve future DBI PD by focusing on support for teachers' instructional changes, describing support practices in greater detail, and advancing technological supports.

The purpose of this logistic regression study was to identify predictors of teacher-reported sustained use of data-based instruction (DBI) during the COVID-19 pandemic and assess the extent to which the identified predictors explained teachers' sustained use after completing programmatic support for intensive early writing instruction. We surveyed 58 teachers who participated in a professional development efficacy trial regarding their sustained use of DBI in writing. The model indicated a higher predicted probability of sustaining DBI for teachers who received the full treatment (tools, learning modules, and coaching for 20 weeks of intervention during their year of participation in the efficacy trial) compared to teachers in the control group who only received tools and learning modules at the end of their participation year. In addition, teachers who taught in-person were more likely to sustain compared to those who taught in remote or hybrid models, controlling for other variables. Furthermore, as the number of facilitators that teachers reported increased, teachers were more likely to sustain their use of DBI components, controlling for other variables. Further research could shed light on the relative impact of different types of facilitators and different levels of support.

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 ( = 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 ( = 87, 9.2%) or arithmetic ( = 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.

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-, 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.

Establishing validated science programs for students with or at risk for learning disabilities requires testing treatment effects and exploring differential response patterns. This study explored whether students' initial mathematics and reading skills influenced their treatment response to a whole-class, second-grade science program called Scientific Explorers (Sci2). The original Sci2 study employed a cluster randomized controlled design and included 294 students from 18 second-grade classrooms. Differential effects of the program by initial mathematics and reading skill levels were not observed for an interactive science assessment and a distal science outcome measure. However, based on initial reading skill levels, moderation results were found on a science vocabulary measure, suggesting the effects of Sci2 were greatest for students with higher initial reading skills. Similar results were found using initial mathematics skill levels as a predictor of differential response such that students with higher mathematics skills reaped stronger treatment effects on the vocabulary measure. Further, we found initial mathematics skills also influenced outcomes on the proximal science content assessment, where students with higher initial mathematics skills led to higher outcomes. Overall, findings suggest Sci2 produced robust effects for all students ( = 0.24-1.23), regardless of initial skill proficiencies. Implications for exploring differential response in science intervention research are discussed.

Developing both conceptual and procedural knowledge is important for students' mathematics competence. This study examined whether Grade 9 general education mathematics teachers' self-reported use of concept-focused instruction (CFI) and procedure-focused instruction (PFI) were associated differently with ninth graders' algebra achievement after 2.5 years, depending on students' mathematics difficulty (MD) status. Data for this study were drawn from the High School Longitudinal Study for the years 2009-2010 and 2011-2012 ( = 19,104). Multiple regression analyses indicated that students with MD who participated in Grade 9 mathematics classrooms where teachers self-reported the use of less CFI and more PFI were more positively associated with having higher algebra achievement after 2.5 years. Conversely, students without MD in classrooms where mathematics teachers self-reported the use of more CFI and less PFI were positively associated with having higher algebra achievement after 2.5 years. However, this study's findings do not suggest that teachers should disregard CFI and provide only PFI when teaching students with MD. Because the data set did not include any variable to discover whether teachers provided sufficient support (i.e., evidence-based practices) for students with MD, who have more constraints in their cognitive skills compared to students without MD, to benefit from CFI, the findings of this study should be interpreted cautiously. Directions for future research and practical implications are discussed.

Rate of change (i.e., slope) is a critical mathematics concept for success in everyday life, academics, and professional careers. Students with or at risk of learning disabilities struggle with solving rate-of-change problems, especially word problems. Interventions that incorporate representations and problem-solving strategies are effective for improving the word problem-solving performance of students with disabilities. This multiple-probe, multiple-baseline, single-case design study evaluated the effects of an intervention that included an integrated, concrete-representational-abstract teaching framework with an embedded problem-solving strategy (POD Check) on students' rate-of-change word problem-solving performance. The intervention was delivered virtually via video conferencing technology. Four middle- and high-school students with or at risk of mathematics learning disabilities in the Intermountain West participated in the intervention. Results indicate evidence of a functional relation between the intervention and students' word problem-solving performance, and effects were maintained 2-4 weeks after the intervention. The findings of this study provide implications for mathematics intervention research and practice for students with learning disabilities.

School context can shape relative intervention response in myriad ways due to factors, such as instructional quality, resource allocation, peer effects, and correlations between the school context and characteristics of enrolled students (e.g., higher-poverty students attending higher-poverty schools). In the current study, we used data from 16,000 Grade 3 students in a community-based supplemental reading intervention program to investigate the degree to which school context factors (percentage eligible for free/reduced-price lunch [FRPL], school-level achievement) relate to the differences in triannual reading fluency growth rates between students actively receiving supplemental intervention (active recipients) and those that formerly received intervention (and therefore only received general class instruction at this time; former recipients). Using Bayesian multilevel modeling, our findings indicate that school-level FRPL eligibility played a more prominent factor in growth rate differences between these two groups than school-level reading achievement. However, school-level reading achievement was much more strongly related to reading fluency differences between active and former intervention recipients at the beginning of the school year (when controlling for FRPL). Implications for investigating school-level heterogeneity in intervention response and sustainability are discussed.

A growing body of evidence suggests that children with dyslexia in alphabetic languages exhibit visual-spatial attention deficits that can obstruct reading acquisition by impairing their phonological decoding skills. However, it remains an open question whether these visual-spatial attention deficits are present in children with dyslexia in non-alphabetic languages. Chinese, with its logographic writing system, offers a unique opportunity to explore this question. The presence of visual-spatial attention deficits in Chinese children with dyslexia remains insufficiently investigated. Therefore, this study aimed to explore whether such deficits exist, employing a visual search paradigm. Three visual search tasks were conducted, encompassing two singleton feature search tasks and a serial conjunction search task. The results indicated that Chinese children with dyslexia performed as well as chronological age-matched control children in color search tasks but less effectively in orientation search, suggesting a difficulty in the rapid visual processing of orientation: a deficit potentially specific to Chinese dyslexia. Crucially, Chinese children with dyslexia also exhibited lower accuracy, longer reaction times, and steeper slopes in the reaction times by set size function in the conjunction search task compared to control children, which is indicative of a visual-spatial attention deficit.

The purpose of this analysis was to describe cognitive processes associated with comorbid difficulty between word reading (WR) and mathematics computation (MC) at the start of first grade among children selected for WR and MC delays. A sample of 234 children (mean age 6.50 years, = 0.31) was assessed on WR, MC, core cognitive processes (phonological processing, rapid automatized naming, verbal counting [VC]), and domain-general cognitive processes (working memory, oral language, nonverbal reasoning, attentive behavior). Structural equation modeling was used to predict a latent Comorbidity factor, which modeled shared variance between WR and MC, and to identify processes associated with that Comorbidity factor. Results identified each of the core cognitive processes, especially VC, and each of the domain-general cognitive processes, especially working memory, as explaining shared variance between WR and MC. Implications for understanding comorbid difficulty at the start of first grade and designing coordinated first-grade interventions are discussed.

Children with developmental dyslexia (DD) display partially preserved morphology skills which they rely upon for reading and spelling. Therefore, we conducted explicit and intensive training of derivational morphology in individuals with DD, ages 9 to 14 years, in order to assess its effect on: morphological awareness, reading (speed and accuracy), and spelling. Our pre-posttest design included a group trained in derivational morphology and a group of children who continued their business-as-usual rehabilitation program with their speech-language therapist. Results showed effects on morphological awareness and on the spelling of complex words, with a large between-group effect size for trained items and a large to moderate effect size for untrained items. All these gains tended to be maintained over time on the delayed posttest, 2 months later. For reading, the results were more contrasted, with large between-group effect sizes for accuracy and speed for trained items, reducing to a small effect for accuracy on the delayed posttest. For untrained items, small effects were observed on accuracy (at both posttests) but not on speed. These results are very promising and argue in favor of using derivational morphology as a medium to improve literacy skills in French-speaking children and adolescents with DD.

Data-based instruction (DBI) is a process in which teachers use progress data to make ongoing instructional decisions for students with learning disabilities. Curriculum-based measurement (CBM) is a common form of progress monitoring, and CBM data are placed on a graph to guide decision-making. Despite the central role that graph interpretation plays in the successful implementation of DBI, relatively little attention has been devoted to investigating this skill among special education teachers. In the present study, we examined the data decisions of 32 pre-service special education teachers (29 females and 3 males). Participants viewed data presented sequentially on CBM progress graphs and used a think-aloud procedure to explain their reasoning each time they indicated they would make instructional changes. We also asked participants to make the same type of decisions in response to static CBM progress graphs depicting 10 weeks of data. Overall, there was inconsistency in pre-service teachers' responses related to or they would make an instructional change. Decisions were often influenced by graph-related features, such as variability in the data. Furthermore, responses suggested misunderstandings that led to premature instructional change decisions and reliance on individual data points.

High-level literacy skills are required for full participation in the democratic process through voting. Consequently, adults with low-level literacy skills are at a disadvantage. This work investigated the disparity between the readability of U.S. ballot propositions for year 2022 state elections and grade level reading estimates (≤eighth grade) for adults. Educational attainment was also examined. Propositions ( = 140) from 38 states were included. Mean readability was 18 (range 7.0-64.0). Only four measures (3%) fell within range of national estimates for adult reading ability. Thirty-nine percent of adults completed high school or less, yet 74% of ballots were written well above a high school reading level. There is a discrepancy between the literacy skills of the average voter and the readability of most propositions. The findings of this study have important implications for individuals with learning disabilities. Policy changes and educational support efforts should be initiated.

The purpose of this invited paper is to show the learning disabilities field what LDbase is, why it's important for the field, what it offers the field, and examples of how you can leverage LDbase in your own work.