Children who fail to learn to read proficiently are at serious risk of referral to special education, grade retention, dropping out of high school, and entering the juvenile justice system. Accumulating research suggests that instruction regimes that rely on assessment to inform instruction are effective in improving the implementation of personalized instruction and, in turn, student learning. However, teachers find it difficult to interpret assessment results in a way that optimizes learning opportunities for all of the students in their classrooms. This article focuses on the use of language, decoding, and comprehension assessments to develop personalized plans of literacy instruction for students from kindergarten through third grade, and A2i technology designed to support teachers' use of assessment to guide instruction. Results of seven randomized controlled trials demonstrate that personalized literacy instruction is more effective than traditional instruction, and that sustained implementation of personalized literacy instruction first through third grade may prevent the development of serious reading problems. We found effect sizes from .2 to .4 per school year, which translates into about a 2-month advantage. These effects accumulated from first through third grade with a large effect size (d = .7) equivalent to a full grade-equivalent advantage on standardize tests of literacy. These results demonstrate the efficacy of technology-supported personalized data-driven literacy instruction to prevent serious reading difficulties. Implications for translational prevention research in education and healthcare are discussed.

In this article, I present a developmental model of how children learn to comprehend what they read, which builds on current models of reading comprehension and integrates findings from instructional research and evidence-based models of development in early and middle childhood. The lattice model holds that children's developing reading comprehension is a function of the interacting, reciprocal, and bootstrapping effects of developing text-specific, linguistic, and social-cognitive processes, which interact with instruction as child-characteristic-by-instruction (CXI) interaction effects. The processes develop over time and in the context of classroom, home, peer, community, and other influences to affect children's development of proficient reading comprehension. I first describe models of reading comprehension. I then review the basic processes in the model, the role of instruction, and CXI interactions in the context of the lattice model. I then discuss implications for instruction and research.

Recent studies have observed connections among teachers' depressive symptoms and student outcomes; however, the specific mechanisms through which teachers' mental health characteristics operate in the classroom remain largely unknown. The present study used student-level observation methods to examine the relations between third-grade teachers' (N = 32) depressive symptoms and their academic feedback to students (N = 310) and sought to make inferences about how these factors might influence students' mathematics achievement. A novel observational tool, the Teacher Feedback Coding System-Academic (TFCS-A), was used that assesses feedback across 2 dimensions-teacher affect and instructional strategy, which have been shown to be important to student learning. Multilevel exploratory factor analysis of TFCS-A data suggested 2 primary factors: positive feedback and neutral/negative feedback. Hierarchical linear modeling revealed that positive feedback was related to higher math achievement among students who began the year with weaker math skills and that teachers who reported more depressive symptoms less frequently provided this positive feedback. Results offer new information about a type of instruction that may be affected by teachers' depressive symptoms and inform efforts aimed at improving teachers' instructional interactions with students. (PsycINFO Database Record

Despite three decades of scientific and public attention on efforts to improve literacy in America, little progress has been made in closing achievement gaps across racial, ethnic and socioeconomic lines. This article argues that one major reason is failure to take into account the mosaic of strengths and weaknesses individual children bring to school. With this comes the failure to develop personalized instruction for each child. We briefly review the research available, and then describe how research, ours and others, supports the efficacy of individualizing or personalizing student instructional (ISI) and illustrate how society might close achievement gaps. ISI, and other regimes, offer a systematic instructional program, incorporate child assessment, and personalized small-group instruction. In ISI, this is aided by computer-generated recommendations and planning tools, coupled with extensive, ongoing professional development. ISI has been shown to be highly effective from preschool through third grade in improving children's literacy skills. The practical and policy implications of implementing effective instruction are discussed.

Poor reading comprehension may be due to having ineffective comprehension monitoring, the metacognitive process of evaluating and regulating comprehension. When comprehension breaks down due to an inconsistency either at the word-level (e.g., due to an unfamiliar word) or at the sentence-level (e.g., due to contradictory information), readers may identify the misunderstanding and take steps to regulate their comprehension. In the current study, we utilized two eye-movement tasks (one newly developed) to examine comprehension monitoring in third through fifth grade students (n = 123), when confronted with word- and sentence-level inconsistencies, by measuring the amount of time they read (gaze duration) and reread the target inconsistent words. We investigated how this skill may be associated with individual differences in age, reading comprehension ability, and vocabulary knowledge. The results showed that generally, all students detected the word-level inconsistencies, indicated by longer gaze durations, and attempted to regulate their comprehension after detecting both word- and sentence-level inconsistencies, as indicated by more time spent rereading. Students with stronger reading comprehension (when controlling for their vocabulary), and stronger vocabulary knowledge (when controlling for their reading comprehension) were more likely to attempt regulating their comprehension. In general, the difference between the control words and the inconsistent words was smaller for third graders and larger for fourth and fifth graders, which we argue indicates greater levels of comprehension monitoring - specifically employing repair strategies. With eye-tracking technology becoming more accessible, these tasks may be useful in assessing children's reading processes to better understand at which level of comprehension monitoring they may be struggling, which in return will allow us to develop more individualized instruction for all readers.

Children with stronger self-regulation skills generally demonstrate greater overall success in school both academically and socially. However, there are few valid and reliable measures of self-regulation in middle elementary school. Such a measure could help identify whether a child is truly having difficulties. Thus, the Remembering Rules and Regulation Picture Task (RRRP) was developed. The aim of this study was to develop scoring systems for the RRRP and then to examine the associations between RRRP and independent measures of self-regulation and academic achievement in mathematics and reading. Children (n = 282) from 34 third grade classrooms in Florida participated in this study. Results revealed that the RRRP captured three constructs: working memory, attentional flexibility, and inhibitory control. Hierarchical linear modeling (HLM) demonstrated that the RRRP was significantly and positively associated with other measures of self-regulation. The RRRP was significantly and positively associated with mathematics and reading as well. The RRRP appears to be a promising measure of children's self-regulation skills.

This study investigated how quality of the classroom learning environment influenced first grade students' (n=533) time spent in two non-instructional classroom activities (off-task and in transition) and their subsequent literacy outcomes. Hierarchical linear modeling revealed that higher classroom quality was related to higher student performance in reading comprehension and expressive vocabulary. Further, classroom quality predicted the amount of time students spent off-task and in transitions in the classroom, with slopes of change across the year particularly impacted. Mediation effects were detected in the case of expressive vocabulary such that the influence of classroom quality on students' achievement operated through students' time spent in these non-instructional activities. Results highlight the importance of overall classroom quality to how students navigate the classroom environment during learning opportunities, with subsequent literacy achievement impacted. Implications for policy and educational practices are discussed.