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The ability to communicate through spoken and written language is one of the defining characteristics of the human race, yet it remains a deeply mysterious process. The young science of psycholinguistics attempts to uncover the mechanisms and representations underlying human language. This interdisciplinary field has seen massive developments over the past decade, with a broad expansion of the research base, and the incorporation of new experimental techniques such as brain imaging and computational modelling. The result is that real progress is being made in the understanding of the key components of language in the mind. The Oxford Handbook of Psycholinguistics brings together the views of 75 leading researchers in psycholinguistics to provide a comprehensive and authoritative review of the current state of the art in psycholinguistics. With almost 50 chapters written by experts in the field, the range and depth of coverage is unequalled. The contributors are eminent in a wide range of fields, including psychology, linguistics, human memory, cognitive neuroscience, bilingualism, genetics, development and neuropsychology. Their contributions are organised into six themed sections, covering word recognition, the mental lexicon, comprehension and discourse, language production, language development, and perspectives on psycholinguistics. The breadth of coverage, coupled with the accessibility of the short chapter format should make the handbook essential reading for both students and researchers in the fields of psychology, linguistics and neuroscience.
This book takes a fresh look at programs for advanced studies for high school students in the United States, with a particular focus on the Advanced Placement and the International Baccalaureate programs, and asks how advanced studies can be significantly improved in general. It also examines two of the core issues surrounding these programs: they can have a profound impact on other components of the education system and participation in the programs has become key to admission at selective institutions of higher education. By looking at what could enhance the quality of high school advanced study programs as well as what precedes and comes after these programs, this report provides teachers, parents, curriculum developers, administrators, college science and mathematics faculty, and the educational research community with a detailed assessment that can be used to guide change within advanced study programs.
How do we understand numbers? Do animals and babies have numerical abilities? Why do some people fail to grasp numbers, and how we can improve numerical understanding? Numbers are vital to so many areas of life: in science, economics, sports, education, and many aspects of everyday life from infancy onwards. Numerical cognition is a vibrant area that brings together scientists from different and diverse research areas (e.g., neuropsychology, cognitive psychology, developmental psychology, comparative psychology, anthropology, education, and neuroscience) using different methodological approaches (e.g., behavioral studies of healthy children and adults and of patients; electrophysiology and brain imaging studies in humans; single-cell neurophysiology in non-human primates, habituation studies in human infants and animals, and computer modeling). While the study of numerical cognition had been relatively neglected for a long time, during the last decade there has been an explosion of studies and new findings. This has resulted in an enormous advance in our understanding of the neural and cognitive mechanisms of numerical cognition. In addition, there has recently been increasing interest and concern about pupils' mathematical achievement in many countries, resulting in attempts to use research to guide mathematics instruction in schools, and to develop interventions for children with mathematical difficulties. This handbook brings together the different research areas that make up the field of numerical cognition in one comprehensive and authoritative volume. The chapters provide a broad and extensive review that is written in an accessible form for scholars and students, as well as educationalists, clinicians, and policy makers. The book covers the most important aspects of research on numerical cognition from the areas of development psychology, cognitive psychology, neuropsychology and rehabilitation, learning disabilities, human and animal cognition and neuroscience, computational modeling, education and individual differences, and philosophy. Containing more than 60 chapters by leading specialists in their fields, the Oxford Handbook of Numerical Cognition is a state-of-the-art review of the current literature.
The National Science Foundation funded a synthesis study on the status, contributions, and future direction of discipline-based education research (DBER) in physics, biological sciences, geosciences, and chemistry. DBER combines knowledge of teaching and learning with deep knowledge of discipline-specific science content. It describes the discipline-specific difficulties learners face and the specialized intellectual and instructional resources that can facilitate student understanding. Discipline-Based Education Research is based on a 30-month study built on two workshops held in 2008 to explore evidence on promising practices in undergraduate science, technology, engineering, and mathematics (STEM) education. This book asks questions that are essential to advancing DBER and broadening its impact on undergraduate science teaching and learning. The book provides empirical research on undergraduate teaching and learning in the sciences, explores the extent to which this research currently influences undergraduate instruction, and identifies the intellectual and material resources required to further develop DBER. Discipline-Based Education Research provides guidance for future DBER research. In addition, the findings and recommendations of this report may invite, if not assist, post-secondary institutions to increase interest and research activity in DBER and improve its quality and usefulness across all natural science disciples, as well as guide instruction and assessment across natural science courses to improve student learning. The book brings greater focus to issues of student attrition in the natural sciences that are related to the quality of instruction. Discipline-Based Education Research will be of interest to educators, policy makers, researchers, scholars, decision makers in universities, government agencies, curriculum developers, research sponsors, and education advocacy groups.
First Published in 1986. This book marks a watershed in cognitive science activity at Yale University. Over the past decade, the cognitive science orientation has become more and more integrated into the mainstream of cognitive psychology, and artificial intelligence workers now feel comfortable thinking about psychological experimentation. This book collects in one place the research work which concentrates on covering topics in the representation, processing, and recall of meaningful verbal .materials. Several of the chapters are first reports of research; others are specially prepared reviews and elaborations of research reported previously. Here it is all together: Studies of scripts, plans, and higher-level knowledge structures; analyses of knowledge structure activation, of autobiographical memory, of the phenomenon of reminding, of the summarization of text, of explanations for events, and more.
This book constitutes the proceedings of the First International Joint Conference on Conceptual Knowledge Structures, CONCEPTS 2024, which took place in Cádiz, Spain, during September 9-13, 2024. The conference is an amalgamation of the 18th International Conference on Formal Concept Analysis (ICFCA); the 17th International Conference on Concept Lattices and Their Applications (CLA); and the 28th International Conference on Conceptual Structures (ICCS). The 18 full and 4 short papers included in this book were carefully reviewed and selected from 38 submissions. They were organized in topical sections as follows: Theory; algorithms, methods, and resources; applications.
This fully revised and updated edition of Learning, Creating, and Using Knowledge recognizes that the future of economic well being in today's knowledge and information society rests upon the effectiveness of schools and corporations to empower their people to be more effective learners and knowledge creators. Novak’s pioneering theory of education presented in the first edition remains viable and useful. This new edition updates his theory for meaningful learning and autonomous knowledge building along with tools to make it operational ─ that is, concept maps, created with the use of CMapTools and the V diagram. The theory is easy to put into practice, since it includes resources to facilitate the process, especially concept maps, now optimised by CMapTools software. CMapTools software is highly intuitive and easy to use. People who have until now been reluctant to use the new technologies in their professional lives are will find this book particularly helpful. Learning, Creating, and Using Knowledge is essential reading for educators at all levels and corporate managers who seek to enhance worker productivity.
First Published in 1986. This book is intended for those people who are interested in how mathematics is learned. It is intended especially for those who are interested in the mental processes involved in becoming mathematically competent and the mental processes that inhibit such competency from developing. The volume opens with an overview of the issue and then traces the relationships between conceptual and procedural knowledge in mathematics from preschool days through the years of formal schooling. Mathematics educators and cognitive psychologists from a variety of perspectives contribute theoretical arguments and empirical data to illuminate the nature of the relationships and, in tum, the nature of mathematics learning.