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In this chapter, we focus on specially designed instruction (SDI) as a core value for the field of specific learning disabilities (SLD). SDI is at the heart of special education, and the field of LD has been built on the core value that effective instruction improves student outcomes. We describe a two-step test and an extended example of what is and is not SDI for Matt, a student with an SLD. Finally, we discuss some of the confusion surrounding SDI and the need for the field to return to its core value of individualized, intentional, targeted, evidence- or high leverage practice–based, and systematic instruction for students with SLD.

Computer-assisted instruction (CAI) has been used to combat reading challenges, namely reading accuracy and rate for learners with intellectual, developmental and learning disabilities (IDLD). Whilst most reading CAI effectiveness has been studied in English, other transparent languages have less evidence. This study provides a systematic review and meta-analysis of CAI effectiveness for transparent language reading for K-3 learners with IDLD.

This study systematically reviews academic peer-reviewed studies from 2010 to 2023 with either randomised controlled treatment (RCT) or single-case treatments. Articles were searched from the ACM Digital Library, Google Scholar, IEEE Xplore, ERIC, PsychINFO and Science Direct databases, references and systematic review articles. Reading component skills effect sizes were computed using the random effect sizes model.

11 RCT studies of reading CAI for transparent languages with 510 learners with IDLD were found. A random effect sizes (Cohen’s d) of CAI on individual reading component skills were d = 0.24, p-value = 0.063 and confidence interval (CI) 95% (−0.068–0.551) for phonics and phonemic awareness d = 0.41, p-value = 0.000 and CI 95% (0.175–0.644). Given an average intervention dosage of 1.8 h weekly for a maximum of 16 weeks, CAI had better retention with d = 1.13, p-value = 0.066 and CI 95%(−0.339–2.588). However, these results must be interpreted with a concern of only using published studies.

The study contributes to quantitative CAI effectiveness for transparent language reading components for learners with IDLD.

Children of recent refugees and immigrants are the fastest growing student population in the US public education system. Thus, it is imperative to create research-based pedagogies that value linguistic diversity, provide academic and social–emotional support and embrace life experiences that are often vastly different from those of the teachers and typical students. The goal of this study was to examine the effects of an instructional model designed to address specific academic and social–emotional competencies of linguistically and culturally diverse students on the writing of eight and nine-year-old students (n = 10) enrolled in an afterschool programme serving students from refugee families. The model of explicit writing instruction implemented in the study included culturally responsive literature, mindfulness practices, and differentiation in teaching genre-specific text structure and academic vocabulary. Pre- and post-test personal essays were scored for holistic quality of writing and use of academic vocabulary. The findings indicate that explicit and differentiated instruction in both writing organisation and vocabulary use was effective in increasing the holistic quality of students' personal writing and their ability to integrate academic vocabulary appropriately and meaningfully in independent writing. Implications for culturally responsive instruction for refugee students are discussed.

This study holistically and systematically consolidates the available research on digital reading to reveal the research trends of the past 20 years. Moreover, it explores the thematic evolution, hotspots and developmental characteristics of digital reading. This study, therefore, has the potential to serve as a research guide to researchers and educators in relevant fields.

The authors applied a bibliometric approach using Derwent Data Analyzer and VOSviewer to retrieve 2,456 publications for 2003–2022 from the Web of Science (WoS) database.

The results revealed that most studies' participants were university students and the experimental methods and questionnaires were preferred in digital reading researches. Among the influential countries or regions, institutions, journals and authors, the United States of America, University of London, Electronic Library and Chen, respectively, accounted for the greatest number of publications. Moreover, the authors identified the developmental characteristics and research trends in the field of digital reading by analyzing the evolution of keywords from 2003–2017 to 2018–2022 and the most frequently cited papers by year. “E-books,” “reading comprehension” and “literacy” were the primary research topics. In addition, “attention,” “motivation,” “cognitive load,” “dyslexia,” “engagement,” “eye-tracking,” “eye movement,” “systematic analysis,” “meta-analysis,” “smartphone” and “mobile reading/learning” were potential new research hotspots.

This study provides valuable insights into the current status, research direction, thematic evolution and developmental characteristics in the field of digital reading. Therefore, it has implications for publishers, researchers, librarians, educators and teachers in the digital reading field.

Using a sample of oil and gas firms in the USA, the study examines the relation between the presence of hedging and annual report readability.

The authors use regression analysis to examine the relation between the presence of hedging and annual report readability.

The authors find that annual reports of firms with the use of hedging are less readable (i.e. difficult to read and understand). The authors also find that the primary results are more pronounced for firms with a higher level of business volatility.

The study contributes to the finance literature on the use and value of hedging and to the accounting literature on the determinants of annual report readability. The Securities and Exchange Commission (SEC) has persistently asked companies to improve the readability of their disclosures to stakeholders (SEC, 1998; 2013, 2014). Hence, the study not only identifies a potential determinant (i.e. hedging) that may influence the level of readability but also supports the current regulatory policy by the SEC, which is encouraging companies to improve readability.

Research has documented how white teachers often fall short of their anti-racist intentions. However, much of this research is done with preservice teachers or teachers across disciplines. The authors investigate stories in which white English teachers who teach substantial proportions of black students and who self-reported anti-racist goals nevertheless fell short of those goals. The purpose of the study is to understand the tensions between racial liberalism and racial literacy in their pedagogy.

The authors snowball sampled 12 veteran white high school English teachers (3–27 years’ experience) who taught in schools with substantial proportions of black students. The authors used a two-stage interview process to narrow the sample to 7 teachers who confirmed their anti-racist intentions and who wrote narratives of moments when they tried to be anti-racist, but the lesson failed in some way. The authors used a three-stage narrative analysis to analyze how racial liberalism and racial literacy were reflected in the narratives.

The veteran English teachers, despite their anti-racist intentions, told narratives that reflected racial liberalism, portraying racism as an individual and interpersonal phenomenon. Some narratives showed teachers who had taken steps toward racial literacy, but no narratives showed a fully developed sense of racial literacy, portraying the layers of institutional and structural racism in English education.

The sample suggests that veteran white English teachers are subject to similar limited racial literacies as novice teachers. While the authors found glimmers of racial literacy, they still note the work necessary to equip veteran English teachers with the racial literacies necessary for anti-racist instruction. The authors propose directions for teacher education, systemic support and professional development.

This paper aims to center the experiences of three cohorts (n = 40) of Black high school students who participated in a critical race technology course that exposed anti-blackness as the organizing logic and default setting of digital and artificially intelligent technology. This paper centers the voices, experiences and technological innovations of the students, and in doing so, introduces a new type of digital literacy: critical race algorithmic literacy.

Data for this study include student interviews (called “talk backs”), journal reflections and final technology presentations.

Broadly, the data suggests that critical race algorithmic literacies prepare Black students to critically read the algorithmic word (e.g. data, code, machine learning models, etc.) so that they can not only resist and survive, but also rebuild and reimagine the algorithmic world.

While critical race media literacy draws upon critical race theory in education – a theorization of race, and a critique of white supremacy and multiculturalism in schools – critical race algorithmic literacy is rooted in critical race technology theory, which is a theorization of blackness as a technology and a critique of algorithmic anti-blackness as the organizing logic of schools and AI systems.

Using a discourse analytic approach, the purpose of this paper is to examine how genre impacts white readers when reading about historic acts of racial violence. Specifically, this study explores one white high school student’s stance-taking as she read an informational text and an eyewitness narrative about the Tulsa Race Massacre.

This study used discourse analysis (Gee, 1999) and the think-aloud method (Pressley and Afflerbach, 1996) to explore the white student’s interactions with genres of historical texts. The authors coupled iterative coding and memoing with discourse analysis to analyze the stances she adopted while reading.

The findings illustrate that the informational text allowed for a distancing from the racialized violence in the text, whereas the narrative created an opportunity for more connection to those who experienced the violence.

While genre and reader response has long been explored in English Education research, little research has examined the impact of genre on reading historical texts. This study demonstrates the influence that genre may have on white readers’ emotional responses and stance-taking practices when reading about historic acts of racial violence.

The development of digital technology and digital resources have influenced one’s reading habits. This paper aimed to study undergraduate students' reading in digital sphere at universities in Vietnam.

A focus group study with 31 undergraduate students of six groups at six public universities was conducted to get their perspectives on reading preference, strategies, effectiveness and psychological factors influencing reading ability.

The results confirmed that bachelor students' reading preference for document formats depended on their reading purposes. They used different reading strategies for digital and traditional reading, for instance, keyword searching, taking note, skimming, scanning, need-based reading, selective reading, comparison, evaluation and criticism. Students had faster reading speed for digital texts; however, they had better concentration and memorization in printed documents. When students have motivation, good attitudes and emotion, they could be motivated to read more.

These findings were useful in enhancing the understanding of digital reading competence and help stakeholders find out solutions to improve reading capacity of Vietnamese students in digital space.

Evidence-informed decision-making is considered best practice when choosing interventions in applied settings across health, social care and education. Developing that evidence base, however, is not straightforward. The pupose of this paper is to describe the process implemented by the Sharland Foundation Developmental Disabilities Applied Behavioural Research and Impact Network (SF-DDARIN) that systematically develops an evidence base for behaviorally based interventions.

In this case study, the progressive research steps undertaken by the SF-DDARIN to develop the evidence base for an online reading intervention, the Headsprout® Early Reading programme (HER®), which uses behavioural principles to promote learning to read, are described.

A series of discrete projects targeting gaps in the evidence base for HER^® led to funding two randomised controlled trials in England, one in education and one in health and social care.

This case study illustrates an original, creative and effective way of collaborating across academic research departments and applied settings to extend the evidence base for a chosen intervention systematically.