Learning disabilities are a heterogeneous group of disorders characterized by failure to acquire, retrieve, and use information competently. These disorders have a multifactorial aetiology and are most common and severe in children, especially when comorbid with other chronic health conditions. This book provides current and comprehensive information about learning disorders, including information on neurobiology, assessment, clinical features, and treatment. Chapters cover such topics as historical research and hypotheses of learning disorders, neuropsychological assessment and counselling, characteristics of specific disorders such as autism and ADHD, evidence-based treatment strategies and assistive technologies, and much more.
Tres reconocidos especialistas en dislexia nos ayudan con este libro a entender mejor un trastorno que lleva mucho tiempo oculto y que afecta directamente al aprendizaje. Sin embargo, no impide llevar una vida normalizada, como demuestran los casos de grandes emprendedores o científicos, ni por supuesto es obstáculo para una vida plena y feliz. Incluso, muchas de sus fortalezas ─habilidad para plantear soluciones creativas, procesamiento visual y espacial muy rápido y razonamiento integral─ pueden ser ventajas con el paso del tiempo. A diferencia de lo que algunos piensan, las personas con dislexia no son vagas ni despistadas. Simplemente tienen dislexia.
Within the last few years, devices that are increasingly capable of offering an immersive experience close to reality have emerged. As devices decrease in size, the interest and application possibilities for them increase. In the healthcare sector, there is an enormous potential for virtual reality development, as this technology allows, on the one hand, the execution of operations or processes at a distance, decoupling realities; and on the other hand, it offers the possibility of simulation for training purposes, whenever there are contexts of risk to the patient or to the health professional. However, virtual reality devices and immersion in virtual environments still requires some improvement as complaints such as headaches and nausea are still common among users, and so continuous research and development is critical to progress the technology. Emerging Advancements for Virtual and Augmented Reality in Healthcare synthesizes the trends, best practices, methodologies, languages, and tools used to implement virtual reality and create a positive user experience while also discussing how to implement virtual reality into day-to-day work with a focus on healthcare professionals and related areas. The application possibilities and their impact are transversal to all areas of health and fields such as education, training, surgery, pain management, physical rehabilitation, stroke rehabilitation, phobia therapy, and telemedicine. Covering topics such as mental health treatment and virtual simulations, it is ideal for medical professionals, engineers, computer scientists, researchers, practitioners, managers, academicians, teachers, and students.
While many books explore the possibilities for developing inclusive practices in schools, and ‘inclusion’ is widely regarded as a desirable goal, much of the literature on the subject has been narrowly concerned with the inclusion of pupils with special educational needs. This book however, takes the view that marginalisation, exclusion and underachievement take many forms and affect many different kinds of child. As such, a definition of inclusion should also touch upon issues of equity, participation, community, entitlement, compassion, respect for diversity and sustainability. Here the highly regarded authors focus on: barriers to participation and learning experienced by pupils the practices that can overcome these barriers the extent to which such practices facilitate improved learning outcomes how such practices can be encouraged and sustained within schools and LEAs. The book is part of the Improving Learning series, published in partnership with the Teaching and Learning Research Project.
This is the first English translation of the last book written by Paulo Freire. Pedagogy of Indignation delves ever deeper into the themes that concerned him throughout his life. The book begins with a series of three deeply moving reflective "pedagogical letters" to the reader about the role of education for one's development of self. He also speaks directly to the reader about the relationship to risk in one's life and he delves deeper than before into the daily life tensions between freedom and authority. Building on these interconnected themes, Freire sharpens our sense of the critical faculties of children and how a teacher may work with children to help them realize their potential intellectually and as human beings. Subsequent chapters explore these topics in relation to the wider social world: the social constitution of the self in the work of educators; critical citizenship; and the necessity of teaching "from a position" about the world that goes beyond literacy programs to include the legacy of colonialism in peoples' resistance movements today. The book's poignant interludes, written by Ana Maria Araujo Freire, reveal Paulo's thoughts about the content of this book as he was completing it during the last weeks and days of his life.
Covering key areas of evaluation and methodology, client-side applications, specialist and novel technologies, along with initial appraisals of disabilities, this important book provides comprehensive coverage of web accessibility. Written by leading experts in the field, it provides an overview of existing research and also looks at future developments, providing a much deeper insight than can be obtained through existing research libraries, aggregations, or search engines.
In this volume a group of well-known experts of the field cover topics ranging from basic visual and auditory information processing to higher order cognition in reading and dyslexia, from basic research to remediation approaches and from well-established theories to new hypotheses about reading acquisition and causes for its failure. Reading is one of the most intriguing feats human evolution ever came up with. There is no evolutionary basis for reading as such; reading is secondary to language and the result of a complex skill acquisition at the end of which almost all pre-existing cognitive functions are mobilized. With the right instruction and practice most people learn this skill smoothly. Some, however, have problems, despite same opportunities and general cognitive abilities. This developmental dyslexia results from a neuro developmental disorder leading to deficits in reading relevant information processing. But what deficits are these, and can they be trained?
Thanks to the availability of texts on the Web in recent years, increased knowledge and information have been made available to broader audiences. However, the way in which a text is written—its vocabulary, its syntax—can be difficult to read and understand for many people, especially those with poor literacy, cognitive or linguistic impairment, or those with limited knowledge of the language of the text. Texts containing uncommon words or long and complicated sentences can be difficult to read and understand by people as well as difficult to analyze by machines. Automatic text simplification is the process of transforming a text into another text which, ideally conveying the same message, will be easier to read and understand by a broader audience. The process usually involves the replacement of difficult or unknown phrases with simpler equivalents and the transformation of long and syntactically complex sentences into shorter and less complex ones. Automatic text simplification, a research topic which started 20 years ago, now has taken on a central role in natural language processing research not only because of the interesting challenges it posesses but also because of its social implications. This book presents past and current research in text simplification, exploring key issues including automatic readability assessment, lexical simplification, and syntactic simplification. It also provides a detailed account of machine learning techniques currently used in simplification, describes full systems designed for specific languages and target audiences, and offers available resources for research and development together with text simplification evaluation techniques.
An approach to performance-based assessments that embeds assessments in digital games in order to measure how students are progressing toward targeted goals. To succeed in today's interconnected and complex world, workers need to be able to think systemically, creatively, and critically. Equipping K-16 students with these twenty-first-century competencies requires new thinking not only about what should be taught in school but also about how to develop valid assessments to measure and support these competencies. In Stealth Assessment, Valerie Shute and Matthew Ventura investigate an approach that embeds performance-based assessments in digital games. They argue that using well-designed games as vehicles to assess and support learning will help combat students' growing disengagement from school, provide dynamic and ongoing measures of learning processes and outcomes, and offer students opportunities to apply such complex competencies as creativity, problem solving, persistence, and collaboration. Embedding assessments within games provides a way to monitor players' progress toward targeted competencies and to use that information to support learning. Shute and Ventura discuss problems with such traditional assessment methods as multiple-choice questions, review evidence relating to digital games and learning, and illustrate the stealth-assessment approach with a set of assessments they are developing and embedding in the digital game Newton's Playground. These stealth assessments are intended to measure levels of creativity, persistence, and conceptual understanding of Newtonian physics during game play. Finally, they consider future research directions related to stealth assessment in education.
Teaching computers to solve language problems is one of the major challenges of natural language processing. There is a large amount of interesting research devoted to this field. This book fills an existing gap in the literature with an up-to-date survey of the field, including the author’s own contributions. A number of different fields overlap in anaphora resolution – computational linguistics, natural language processing (NLP), grammar, semantics, pragmatics, discourse analysis and artificial intelligence. This book begins by introducing basic notions and terminology, moving onto early research methods and approaches, recent developments and applications, and future directions. It addresses various issues related to the practical implementation of anaphora systems, such as rules employed, algorithms implemented or evaluation techniques used. This is an ideal reference book for students and researchers in this particular area of computational linguistics. Since anaphora resolution is vital for the development of any practical NLP system, the book will be of interest to readers from both academia and industry.
