Abstract: Until the 1950s, developmental dyslexia was defined as a hereditary visual disability, selectively affecting reading without compromising oral or non-verbal reasoning skills. This changed radically after the development of the phonological theory of dyslexia; this not only ruled out any role for visual processing in its aetiology, but it also cast doubt on the use of discrepancy between reading and reasoning skills as a criterion for diagnosing it. Here I argue that this theory is set at too high a cognitive level to be explanatory; we need to understand the pathophysiological visual and auditory mechanisms that cause children’s phonological problems. I discuss how the ‘magnocellular theory’ attempts to do this in terms of slowed and error prone temporal processing which leads to dyslexics’ defective visual and auditory sequencing when attempting to read. I attempt to deal with the criticisms of this theory and show how it leads to a number of successful ways of helping dyslexic children to overcome their reading difficulties.

Abstract: Recognizing the essential nature of reader and text, the transactional theory requires an underlying metaphor of organic activity and reciprocity. This chapter discusses the reading process first, then the writing process. It presents the problems of communication and validity of interpretation before considering implications for teaching and research. The chapter suggests some general considerations concerning research topics and theoretical and methodological pitfalls. The transactional model of reading, writing, and teaching that has been presented constitutes, in a sense, a body of hypotheses to be investigated. The transactional concept has profound implications for understanding language. Traditionally, language has been viewed as primarily a self-contained system or code, a set of arbitrary rules and conventions that is manipulated as a tool by speakers and writers or imprints itself on the minds of listeners and readers. The concepts of transaction, the transactional nature of language, and selective attention now can be applied to analysis of the reading process.

Abstract: British Psychology Society Textbook of the Year 2020 Why do people who are more socially connected live longer and have better health than those who are socially isolated? Why are social ties at least as good for your health as not smoking, having a good diet, and taking regular exercise? Why is treatment more effective when there is an alliance between therapist and client? Until now, researchers and practitioners have lacked a strong theoretical foundation for answering such questions. This ground-breaking book fills this gap by showing how social identity processes are key to understanding and effectively managing a broad range of health-related problems. Integrating a wealth of evidence that the authors and colleagues around the world have built up over the last decade, The New Psychology of Health provides a powerful framework for reconceptualising the psychological dimensions of a range of conditions – including stress, trauma, ageing, depression, addiction, eating behaviour, brain injury, and pain. Alongside reviews of current approaches to these various issues, each chapter provides an in-depth analysis of the ways in which theory and practice can be enriched by attention to social identity processes. Here the authors show not only how an array of social and structural factors shape health outcomes through their impact on group life, but also how this analysis can be harnessed to promote the delivery of ‘social cures’ in a range of fields. This is a must-have volume for service providers, practitioners, students, and researchers working in a wide range of disciplines and fields, and will also be essential reading for anyone whose goal it is to improve the health and well-being of people and communities in their care.

Abstract: There is intense public interest in questions surrounding how children learn to read and how they can best be taught. Research in psychological science has provided answers to many of these questions but, somewhat surprisingly, this research has been slow to make inroads into educational policy and practice. Instead, the field has been plagued by decades of “reading wars.” Even now, there remains a wide gap between the state of research knowledge about learning to read and the state of public understanding. The aim of this article is to fill this gap. We present a comprehensive tutorial review of the science of learning to read, spanning from children’s earliest alphabetic skills through to the fluent word recognition and skilled text comprehension characteristic of expert readers. We explain why phonics instruction is so central to learning in a writing system such as English. But we also move beyond phonics, reviewing research on what else children need to learn to become expert readers and considering how this might be translated into effective classroom practice. We call for an end to the reading wars and recommend an agenda for instruction and research in reading acquisition that is balanced, developmentally informed, and based on a deep understanding of how language and writing systems work.

Abstract: The purpose of this study was to determine the relation between reading and working memory (WM) in the context of 3 major theories: the domain-specificity theory (debate) of WM, the intrinsic cognitive load theory, and the dual process theory. A meta-analysis of 197 studies with 2026 effect sizes found a significant moderate correlation between reading and WM, r = .29, 95% CI [.27, .31]. Moderation analyses indicated that after controlling for publication type, bilingual status, domains of WM, and grade level, the relation between WM and reading was not affected by types of reading. The effects of WM domains were associated with grade level: before 4th grade, different domains of WM were related to reading to a similar degree, whereas verbal WM showed the strongest relations with reading at or beyond 4th grade. Further, the effect of WM on reading comprehension was partialed out when decoding and vocabulary were controlled for. Taken together, the findings are generally compatible with aspects of the domain-specificity theory of WM and the dual process theory, but, importantly, add a developmental component that is not currently reflected in models of the relation between reading and WM. The findings suggest that the domain-general central executive of WM is implicated in early reading acquisition, and verbal WM is more strongly implicated in later reading performance as readers gain more experience with reading. The implications of these findings for reading instruction and WM training are also discussed. (PsycINFO Database Record

Abstract: Many recent papers address reading comprehension, where examples consist of (question, passage, answer) tuples. Presumably, a model must combine information from both questions and passages to predict corresponding answers. However, despite intense interest in the topic, with hundreds of published papers vying for leaderboard dominance, basic questions about the difficulty of many popular benchmarks remain unanswered. In this paper, we establish sensible baselines for the bAbI, SQuAD, CBT, CNN, and Who-did-What datasets, finding that question- and passage-only models often perform surprisingly well. On 14 out of 20 bAbI tasks, passage-only models achieve greater than 50% accuracy, sometimes matching the full model. Interestingly, while CBT provides 20-sentence passages, only the last is needed for accurate prediction. By comparison, SQuAD and CNN appear better-constructed.

Abstract: How does education affect cortical organization? All literate adults possess a region specialized for letter strings, the visual word form area (VWFA), within the mosaic of ventral regions involved in processing other visual categories such as objects, places, faces, or body parts. Therefore, the acquisition of literacy may induce a reorientation of cortical maps towards letters at the expense of other categories such as faces. To test this cortical recycling hypothesis, we studied how the visual cortex of individual children changes during the first months of reading acquisition. Ten 6-year-old children were scanned longitudinally 6 or 7 times with functional magnetic resonance imaging (fMRI) before and throughout the first year of school. Subjects were exposed to a variety of pictures (words, numbers, tools, houses, faces, and bodies) while performing an unrelated target-detection task. Behavioral assessment indicated a sharp rise in grapheme-phoneme knowledge and reading speed in the first trimester of school. Concurrently, voxels specific to written words and digits emerged at the VWFA location. The responses to other categories remained largely stable, although right-hemispheric face-related activity increased in proportion to reading scores. Retrospective examination of the VWFA voxels prior to reading acquisition showed that reading encroaches on voxels that are initially weakly specialized for tools and close to but distinct from those responsive to faces. Remarkably, those voxels appear to keep their initial category selectivity while acquiring an additional and stronger responsivity to words. We propose a revised model of the neuronal recycling process in which new visual categories invade weakly specified cortex while leaving previously stabilized cortical responses unchanged.

Abstract: Reading Contemporary Picturebooks takes a look at one of the most vibrant branches of children's literature - the modern picturebook. This exciting new book takes a sample of contemporary picturebooks and closely examines the features that make them distinctive and then suggests a way of characterising the 'interanimation' of words and pictures that is the essence of the form. The reasons for the picturebook's vitality and flexibility are also explored and the close bond between the picturebook and its readers is analyzed. Advances in our understanding of how visual images are organized are examined and the book concludes with an attempt to redescribe the picturebook in such a way that pictures, readers and text may be drawn together. Picturing Text will be of interest to students, teachers and researchers interested in reading, children's literature and media studies.

Abstract: Listening comprehension and word decoding are the two major determinants of the development of reading comprehension. The relative importance of different language skills for the development of listening and reading comprehension remains unclear. In this 5-year longitudinal study, starting at age 7.5 years (n = 198), it was found that the shared variance between vocabulary, grammar, verbal working memory, and inference skills was a powerful longitudinal predictor of variations in both listening and reading comprehension. In line with the simple view of reading, listening comprehension, and word decoding, together with their interaction and curvilinear effects, explains almost all (96%) variation in early reading comprehension skills. Additionally, listening comprehension was a predictor of both the early and later growth of reading comprehension skills.

Abstract: This meta-analysis looked at 17 studies which focused on the comparison of reading on screen and reading on paper in terms of reading comprehension and reading speed. The robust variance estimation (RVE)- based meta-analysis models were employed, followed by four different RVE meta-regression models to examine the potential effects of some of the covariates (moderators) on the mean differences in comprehension and reading speed between reading on screen and reading on paper. The RVE meta-analysis showed that reading on paper was better than reading on screen in terms of reading comprehension, and there were no significant differences between reading on paper and reading on screen in terms of reading speed. None of the moderators were significant at the 0.05 level. In the meanwhile, albeit not significant, examination of the p-values for the difference tests prior to 2013 and after 2013 respectively (not shown here) indicated that the magnitude of the difference in reading comprehension between paper and screen followed a diminishing trajectory. It was suggested that future meta-analyses include latest studies, and other potential moderators such as fonts, spacing, age and gender.

Abstract: Most work in machine reading focuses on question answering problems where the answer is directly expressed in the text to read. However, many real-world question answering problems require the reading of text not because it contains the literal answer, but because it contains a recipe to derive an answer together with the reader’s background knowledge. One example is the task of interpreting regulations to answer “Can I...?” or “Do I have to...?” questions such as “I am working in Canada. Do I have to carry on paying UK National Insurance?” after reading a UK government website about this topic. This task requires both the interpretation of rules and the application of background knowledge. It is further complicated due to the fact that, in practice, most questions are underspecified, and a human assistant will regularly have to ask clarification questions such as “How long have you been working abroad?” when the answer cannot be directly derived from the question and text. In this paper, we formalise this task and develop a crowd-sourcing strategy to collect 37k task instances based on real-world rules and crowd-generated questions and scenarios. We analyse the challenges of this task and assess its difficulty by evaluating the performance of rule-based and machine-learning baselines. We observe promising results when no background knowledge is necessary, and substantial room for improvement whenever background knowledge is needed.

Abstract: Within human sentence processing, it is known that there are large effects of a word’s probability in context on how long it takes to read it. This relationship has been quantified using informationtheoretic surprisal, or the amount of new information conveyed by a word. Here, we compare surprisals derived from a collection of language models derived from n-grams, neural networks, and a combination of both. We show that the models’ psychological predictive power improves as a tight linear function of language model linguistic quality. We also show that the size of the effect of surprisal is estimated consistently across all types of language models. These findings point toward surprising robustness of surprisal estimates and suggest that surprisal estimated by low-quality language models are not biased.

Abstract: Decades of reading research have led to sophisticated accounts of single-word recognition and, in parallel, accounts of eye-movement control in text reading. Although these two endeavors have strongly advanced the field, their relative independence has precluded an integrated account of the reading process. To bridge the gap, we here present a computational model of reading, OB1-reader, which integrates insights from both literatures. Key features of OB1 are as follows: (1) parallel processing of multiple words, modulated by an attentional window of adaptable size; (2) coding of input through a layer of open bigram nodes that represent pairs of letters and their relative position; (3) activation of word representations based on constituent bigram activity, competition with other word representations and contextual predictability; (4) mapping of activated words onto a spatiotopic sentence-level representation to keep track of word order; and (5) saccade planning, with the saccade goal being dependent on the length and activation of surrounding word units, and the saccade onset being influenced by word recognition. A comparison of simulation results with experimental data shows that the model provides a fruitful and parsimonious theoretical framework for understanding reading behavior. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Abstract: When do children become unequal in reading and math skills? Some research claims that inequality grows mainly before school begins. Some research claims that schools cause inequality to grow. And s...

Abstract: Our goal in this paper is to understand the extent to which, and under what conditions, executive functions (EFs) play a role in reading comprehension processes. We begin with a brief review of core components of EF (inhibition, shifting, and updating) and reading comprehension. We then discuss the status of EFs in process models of reading comprehension. Next, we review and synthesize empirical evidence in the extant literature for the involvement of core components of EF in reading comprehension processes under different reading conditions and across different populations. In conclusion, we propose that EFs may help explain complex interactions between the reader, the text, and the discourse situation, and call for both existing and future models of reading comprehension to include EFs as explicit components.

Abstract: Preface Ch. 1 Collecting Culture before the Restoration Ch. 2 Reading and Heteroglossia in the Restoration Ch. 3 Discriminating Readers in the Early Eighteenth Century Ch. 4 Reading Systems in the Mid-Eighteenth Century Ch. 5 Reading for Oneself in the Late Eighteenth Century Conclusion: The Private Possession of Culture Chronological Listing of Early Anthologies Bibliography Index

Abstract: The simple view of reading (SVR) proposes that performance in reading comprehension is the result of decoding and linguistic comprehension, and that each component is necessary but not sufficient f

Abstract: E-petitions have become a popular vehicle for political activism, but studying them has been difficult because efficient methods for analyzing their content are currently lacking. Researchers have used topic modeling for content analysis, but current practices carry some serious limitations. While modeling may be more efficient than manually reading each petition, it generally relies on unsupervised machine learning and so requires a dependable training and validation process. And so this paper describes a framework to train and validate Latent Dirichlet Allocation (LDA), the simplest and most popular topic modeling algorithm, using e-petition data. With rigorous training and evaluation, 87% of LDA-generated topics made sense to human judges. Topics also aligned well with results from an independent content analysis by the Pew Research Center, and were strongly associated with corresponding social events. Computer-assisted content analysts can benefit from our guidelines to supervise every process of training and evaluation of LDA. Software developers can benefit from learning the demands of social scientists when using LDA for content analysis. These findings have significant implications for developing LDA tools and assuring validity and interpretability of LDA content analysis. In addition, LDA topics can have some advantages over subjects extracted by manual content analysis by reflecting multiple themes expressed in texts, by extracting new themes that are not highlighted by human coders, and by being less prone to human bias.

Abstract: We present the Zurich Cognitive Language Processing Corpus (ZuCo), a dataset combining electroencephalography (EEG) and eye-tracking recordings from subjects reading natural sentences. ZuCo includes high-density EEG and eye-tracking data of 12 healthy adult native English speakers, each reading natural English text for 4–6 hours. The recordings span two normal reading tasks and one task-specific reading task, resulting in a dataset that encompasses EEG and eye-tracking data of 21,629 words in 1107 sentences and 154,173 fixations. We believe that this dataset represents a valuable resource for natural language processing (NLP). The EEG and eye-tracking signals lend themselves to train improved machine-learning models for various tasks, in particular for information extraction tasks such as entity and relation extraction and sentiment analysis. Moreover, this dataset is useful for advancing research into the human reading and language understanding process at the level of brain activity and eye-movement. Machine-accessible metadata file describing the reported data (ISA-Tab format)

Abstract: Individual differences researchers have recently begun to investigate the concept of emotions and their role in language learning (MacIntyre, Gregersen, & Mercer, 2016). Our aim is to report on a project exploring English majors’ feelings related to their use of foreign languages. Using a qualitative research design, participants were asked to write a paragraph in their mother tongue (Hungarian) describing their emotional experiences in connection with foreign languages and one of the four language skills. Our database comprised altogether 166 paragraphs from 31 male and 135 female students, with 43 texts on listening, 35 on speaking, 47 on reading, and 41 on writing. With the help of content analytical techniques, the texts were divided into thematic units and coded by the two authors. A framework of academically-relevant emotions (Pekrun, 2014) was used to guide our initial coding and the categories were modified where it was felt necessary. Results indicate that the two emotions most frequently experienced by English majors are predominantly related to enjoyment and language anxiety, and these emotions vary not only according to the skill involved but also depending on the context of language use (in class or outside class).

Abstract: This paper describes the collection and compilation of the OneStopEnglish corpus of texts written at three reading levels, and demonstrates its usefulness for through two applications - automatic readability assessment and automatic text simplification. The corpus consists of 189 texts, each in three versions (567 in total). The corpus is now freely available under a CC by-SA 4.0 license and we hope that it would foster further research on the topics of readability assessment and text simplification.

Abstract: Aim This study compared the time spent using screen-based media or reading on the functional connectivity of the reading-related brain regions in children aged 8-12. Methods We recruited 19 healthy American children from a private school in Cincinnati, USA, in 2015-6 after advertising the study to parents. The parents completed surveys on how many hours their children spent on independent reading and screen-based media time, including smartphones, tablets, desktop or laptop computers and television. The children underwent magnetic resonance imaging that assessed their resting-state connectivity between the left visual word form area, as the seed area, and other brain regions, with screen time and reading time applied as predictors. Results Time spent reading was positively correlated with higher functional connectivity between the seed area and left-sided language, visual and cognitive control regions. In contrast, screen time was related to lower connectivity between the seed area and regions related to language and cognitive control. Conclusion Screen time and time spent reading showed different effects on functional connectivity between the visual word form area and language, visual and cognitive control regions of the brain. These findings underscore the importance of children reading to support healthy brain development and literacy and limiting screen time.

Abstract: Although an abundant literature documents preliterate children's word learning success from shared storybook reading, a full synthesis of the factors which moderate these word learning effects has been largely neglected. This meta-analysis included 38 studies with 2,455 children, reflecting 110 effect sizes, investigating how reading styles, story repetitions, tokens and related factors moderate children's word comprehension, while adjusting for the number of target words. Dialogic reading styles, tokens, and the number of words tested all moderated word learning effects. Children's age, who read the story, and time between story and test were not moderators. We identify story repetition and word types as topics which merit further research. These results provide information to guide researchers and educators alike to the factors with the greatest impact on improving word learning from shared storybook reading. (PsycINFO Database Record

Abstract: Reading and writing are critical to students’ success in and outside of school. Because they draw on common sources of knowledge and cognitive processes, involve meaning making, and can be used conjointly to accomplish important learning goals, it is often recommended that reading and writing should be taught together. This meta-analysis tested this proposition by examining experimental intervention studies with preschool through high school students to determine whether literacy programs balancing reading and writing instruction strengthen students’ reading and writing performance. To be included in this review, no more than 60% of instruction could be devoted to either reading or writing. As predicted, these programs improved students’ reading, resulting in statistically significant effects when reading measures were averaged in each study (effect size [ES] = .39) or assessed through measures of reading comprehension (ES = .39), decoding (ES = .53), or reading vocabulary (ES = .35). The programs also statistically enhanced writing when measures were averaged in each study (ES = .37) or assessed via writing quality (ES = .47), writing mechanics (ES = .18), or writing output (ES = .69). These findings demonstrated that literacy programs balancing reading and writing instruction can strengthen reading and writing and that the two skills can be learned together profitably.

Abstract: Eye-tracking is quickly becoming a valuable tool in applied linguistics research as it provides a 'real-time', direct measure of cognitive processing effort. This book provides a straightforward introduction to the technology and how it might be used in language research. With a strong focus on the practicalities of designing eye-tracking studies that achieve the standard of other well-established experimental techniques, it provides valuable information about building and designing studies, touching on common challenges and problems, as well as solutions. Importantly, the book looks at the use of eye-tracking in a wide variety of applied contexts including reading, listening and multi-modal input, writing, testing, corpus linguistics, translation, stylistics, and computer-mediated communication. Each chapter finishes with a simple checklist to help researchers use eye-tracking in a wide variety of language studies. Discussion is grounded in concrete examples, which will allow users coming to the technology for the first time to gain the knowledge and confidence to use it to produce high quality research.

Abstract: White matter tissue properties are known to correlate with performance across domains ranging from reading to math, to executive function. Here, we use a longitudinal intervention design to examine experience-dependent growth in reading skills and white matter in grade school-aged, struggling readers. Diffusion MRI data were collected at regular intervals during an 8-week, intensive reading intervention. These measurements reveal large-scale changes throughout a collection of white matter tracts, in concert with growth in reading skill. Additionally, we identify tracts whose properties predict reading skill but remain fixed throughout the intervention, suggesting that some anatomical properties stably predict the ease with which a child learns to read, while others dynamically reflect the effects of experience. These results underscore the importance of considering recent experience when interpreting cross-sectional anatomy–behavior correlations. Widespread changes throughout the white matter may be a hallmark of rapid plasticity associated with an intensive learning experience. White matter properties correlate with cognitive performance in a number of domains. Here the authors show that altering a child’s educational environment though a targeted intervention program induces rapid, large-scale changes in the white matter, and that these changes track the learning process.

Abstract: People routinely encounter inaccurate information, from fake news designed to confuse audiences, to communications with inadvertent mistakes, to stories made up to entertain readers The hope is th