The Engaged Learners Program: Effects on Student Engagement During Small Group Reading Instruction.

In this study we tested the usability, feasibility, social validity, and effectiveness of Engaged Learners, a behavior support program designed to be integrated into small group reading interventions. Participants included eight Grade 3 to 5 students with co-occurring reading difficulties and inattention. A concurrent multiple-baseline design was utilized to test the effects of Engaged Learners on engagement outcomes. Visual analysis and effect sizes indicated an improvement in engagement for seven students. Interventionists and students viewed the Engaged Learners program to be effective and socially valid. Limitations included lower than expected levels of fidelity for one interventionist and high student absenteeism. More research is needed to identify the extent to which Engaged Learners can support reading outcomes. Educators seeking an effective behavior support program that requires minimal training and coaching may consider integrating Engaged Learners into their small group reading instruction.

An observation study of mathematics instruction for students with IDD in grades K-2.

This observation study documents the amount and quality of mathematics instruction provided to students with intellectual and developmental disabilities in kindergarten through second grade in self-contained special education settings. We observed six special education teachers and their students (N = 12) during a total of 967 min allotted to early numeracy and mathematics instruction. Mathematics and early numeracy instruction comprised 61.2% of all observed time allotted for mathematics, followed by non-instruction (32.7%), mathematics assessment (5.7%), and instruction in other areas (0.3%). Observed mathematics content included Numbers and Quantitative Reasoning, and Measurement. Mean ratings of student engagement and instructional quality across areas were medium and low-average, respectively. Although student engagement did not differ by who was leading instruction, instructional quality differed between teachers and paraeducators. Class sizes were small, and teachers most often taught students as a whole class or individually. Students used technology, manipulatives, and printed instructional materials during learning.

Orthographic Depth May Influence the Degree of Severity of Maze Learning Performance in Children at Risk for Reading Disorder.

Reading disability (RD), which affects between 5 and 17% of the population worldwide, is the most prevalent form of learning disability, and is associated with underactivation of a universal reading network in children. However, recent research suggests there are differences in learning rates on cognitive predictors of reading performance, as well as differences in activation patterns within the reading neural network, based on orthographic depth (i.e., transparent/shallow vs. deep/opaque orthographies) in children with RD. Recently, we showed that native English-speaking children with RD exhibit impaired performance on a maze learning task that taps into the same neural networks that are activated during reading. In addition, we demonstrated that genetic risk for RD strengthens the relationship between reading impairment and maze learning performance. However, it is unclear whether the results from these studies can be broadly applied to children from other language orthographies. In this study, we examined whether low reading skill was associated with poor maze learning performance in native English-speaking and native German-speaking children, and the influence of genetic risk for RD on cognition and behavior. In addition, we investigated the link between genetic risk and performance on this task in an orthographically diverse sample of children attending an English-speaking international school in Germany. The results from our data suggest that children with low reading skill, or with a genetic risk for reading impairment, exhibit impaired performance on the maze learning task, regardless of orthographic depth. However, these data also suggest that orthographic depth influences the degree of impairment on this task. The maze learning task requires the involvement of various cognitive processes and neural networks that underlie reading, but is not influenced by potential differences in reading experience due to lack of text or oral reporting. As a fully automated tool, it does not require specialized training to administer, and current results suggest it may be a practicable screening tool for early identification of reading impairment across orthographies.

Examining and Enhancing the Methodological Quality of Nonconcurrent Multiple-Baseline Designs.

In this article we respond to the recent recommendation of Slocum et al. (2022), who provided conceptual and methodological recommendations for reconsidering the credibility and validity of the nonconcurrent multiple-baseline design. We build on these recommendations and offer replication and randomization upgrades that should further improve the status of the nonconcurrent version of the design in standards and single-case design research. Although we suggest that the nonconcurrent version should be an acceptable methodological option for single-case design researchers, the traditional concurrent multiple-baseline design should generally be the design of choice.

Identifying Dyslexia: Link between Maze Learning and Dyslexia Susceptibility Gene, DCDC2, in Young Children.

Dyslexia is a common learning disability that affects processing of written language despite adequate intelligence and educational background. If learning disabilities remain untreated, a child may experience long-term social and emotional problems, which influence future success in all aspects of their life. Dyslexia has a 60% heritability rate, and genetic studies have identified multiple dyslexia susceptibility genes (DSGs). DSGs, such as DCDC2, are consistently associated with the risk and severity of reading disability (RD). Altered neural connectivity within temporoparietal regions of the brain is associated with specific variants of DSGs in individuals with RD. Genetically altering DSG expression in mice results in visual and auditory processing deficits as well as neurophysiological and neuroanatomical disruptions. Previously, we demonstrated that learning deficits associated with RD can be translated across species using virtual environments. In this 2-year longitudinal study, we demonstrate that performance on a virtual Hebb-Williams maze in pre-readers is able to predict future reading impairment, and the genetic risk strengthens, but is not dependent on, this relationship. Due to the lack of oral reporting and use of letters, this easy-to-use tool may be particularly valuable in a remote working environment as well as working with vulnerable populations such as English language learners.

Teaching Reading to Students with Intellectual and Developmental Disabilities: An Observation Study.

BACKGROUND: Growing evidence supports the efficacy of multicomponent, explicit, phonics-based reading instruction for students with intellectual and developmental disabilities (IDD). However, little is known about the implementation of such instruction. AIMS: The purpose of this observation study was to describe the content and quality of reading instruction provided to kindergarten through third grade students with IDD in self-contained classrooms. METHODS AND PROCEDURES: Researchers observed seven special education teachers and their seventeen students, examined teacher perspectives via survey and interview, and reviewed student Individualized Education Programs. Researchers coded 2,901 minutes of instruction for content, grouping, materials, instructional quality, engagement, and time spent reading connected text, using a tool adapted for the IDD population. OUTCOMES: Observed instructional content focused on phonics/word study, followed by vocabulary and comprehension, then other areas. Within the already small classes, instruction was generally delivered individually or in small groups. Instructional quality and engagement varied by activity. CONCLUSIONS AND IMPLICATIONS: Study findings suggest a need for greater systematic investigation of content and methods pertaining to reading instruction for students with IDD, instructional quality and engagement, and connections to student outcomes.

The influence of language knowledge and test components on reading comprehension scores.

This study investigated the dependability of reading comprehension scores across different text genres and response formats for readers with varied language knowledge. Participants included 78 fourth-graders in an urban elementary school. A randomized and counterbalanced 3 × 2 study design investigated three response formats (open-ended, multiple-choice, retell) and two text genres (narrative, expository) from the Qualitative Reading Inventory (QRI-5) reading comprehension test. Standardized language knowledge measures from the Woodcock Johnson III Tests of Achievement (Academic Knowledge, Oral Comprehension, Picture Vocabulary) defined three reader profiles: (a) < 90 as emerging, (b) 90-100 as basic, and (c) > 100 as proficient. Generalizability studies partitioned variance in scores for reader, text genre, and response format for all three groups. Response format accounted for 42.8 to 62.4% of variance in reading comprehension scores across groups, whereas text genre accounted for very little variance (1.2-4.1%). Single scores were well below a 0.80 dependability threshold (absolute phi coefficients = 0.06-0.14). Decision studies projecting dependability achieved with additional scores varied by response format for each language knowledge group, with very low projected dependability on open-ended and multiple-choice scores for readers with basic language knowledge. Multiple-choice scores had similarly low projected dependability levels for readers with emerging language knowledge. Findings evidence interactions between reader language knowledge and response format in reading comprehension assessment practices. Implications underscore the limitations of using a single score to classify readers with and without proficiency in foundational skills.

Comparing Students With and Without Reading Difficulties on Reading Comprehension Assessments: A Meta-Analysis.

Researchers have increasingly investigated sources of variance in reading comprehension test scores, particularly with students with reading difficulties (RD). The purpose of this meta-analysis was to determine if the achievement gap between students with RD and typically developing (TD) students varies as a function of different reading comprehension response formats (e.g., multiple choice, cloze). A systematic literature review identified 82 eligible studies. All studies administered reading comprehension assessments to students with RD and TD students in Grades K-12. Hedge's g standardized mean difference effect sizes were calculated, and random effects robust variance estimation techniques were used to aggregate average weighted effect sizes for each response format. Results indicated that the achievement gap between students with RD and TD students was larger for some response formats (e.g., picture selection ES g = -1.80) than others (e.g., retell ES g = -0.60). Moreover, for multiple-choice, cloze, and open-ended question response formats, single-predictor metaregression models explored potential moderators of heterogeneity in effect sizes. No clear patterns, however, emerged in regard to moderators of heterogeneity in effect sizes across response formats. Findings suggest that the use of different response formats may lead to variability in the achievement gap between students with RD and TD students.

Development of First-Graders' Word Reading Skills: For Whom Can Dynamic Assessment Tell Us More?

Dynamic assessment (DA) of word reading measures learning potential for early reading development by documenting the amount of assistance needed to learn how to read words with unfamiliar orthography. We examined the additive value of DA for predicting first-grade decoding and word recognition development while controlling for autoregressive effects. Additionally, we examined whether predictive validity of DA would be higher for students who have poor phonological awareness skills. First-grade students (n = 105) were assessed on measures of word reading, phonological awareness, rapid automatized naming, and DA in the fall and again assessed on word reading measures in the spring. A series of planned, moderated multiple regression analyses indicated that DA made a significant and unique contribution in predicting word recognition development above and beyond the autoregressor, particularly for students with poor phonological awareness skills. For these students, DA explained 3.5% of the unique variance in end-of-first-grade word recognition that was not attributable to autoregressive effect. Results suggest that DA provides an important source of individual differences in the development of word recognition skills that cannot be fully captured by merely assessing the present level of reading skills through traditional static assessment, particularly for students at risk for developing reading disabilities.

Modeling Polymorphemic Word Recognition: Exploring Differences Among Children With Early-Emerging and Late-Emerging Word Reading Difficulty.

Comprehensive models of derived polymorphemic word recognition skill in developing readers, with an emphasis on children with reading difficulty (RD), have not been developed. The purpose of the present study was to model individual differences in polymorphemic word recognition ability at the item level among 5th-grade children (N = 173) oversampled for children with RD using item-response crossed random-effects models. We distinguish between two subtypes of RD children with word recognition problems, those with early-emerging RD and late-emerging RD. An extensive set of predictors representing item-specific knowledge, child-level characteristics, and word-level characteristics were used to predict item-level variance in polymorphemic word recognition. Results indicate that item-specific root word recognition and word familiarity; child-level RD status, morphological awareness, and orthographic choice; word-level frequency and root word family size; and the interactions between morphological awareness and RD status and root word recognition and root transparency predicted individual differences in polymorphemic word recognition item performance. Results are interpreted within a multisource individual difference model of polymorphemic word recognition skill spanning item-specific, child-level, and word-level knowledge.