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Over the past century, educational psychologists and researchers have posited many theories to explain how individuals learn, i.e. how they acquire, organize and deploy knowledge and skills. The 20th century can be considered the century of psychology on learning and related fields of interest (such as motivation, cognition, metacognition etc.) and it is fascinating to see the various mainstreams of learning, remembered and forgotten over the 20th century and note that basic assumptions of early theories survived several paradigm shifts of psychology and epistemology. Beyond folk psychology and its naïve theories of learning, psychological learning theories can be grouped into some basic categories, such as behaviorist learning theories, connectionist learning theories, cognitive learning theories, constructivist learning theories, and social learning theories. Learning theories are not limited to psychology and related fields of interest but rather we can find the topic of learning in various disciplines, such as philosophy and epistemology, education, information science, biology, and – as a result of the emergence of computer technologies – especially also in the field of computer sciences and artificial intelligence. As a consequence, machine learning struck a chord in the 1980s and became an important field of the learning sciences in general. As the learning sciences became more specialized and complex, the various fields of interest were widely spread and separated from each other; as a consequence, even presently, there is no comprehensive overview of the sciences of learning or the central theoretical concepts and vocabulary on which researchers rely. The Encyclopedia of the Sciences of Learning provides an up-to-date, broad and authoritative coverage of the specific terms mostly used in the sciences of learning and its related fields, including relevant areas of instruction, pedagogy, cognitive sciences, and especially machine learning and knowledge engineering. This modern compendium will be an indispensable source of information for scientists, educators, engineers, and technical staff active in all fields of learning. More specifically, the Encyclopedia provides fast access to the most relevant theoretical terms provides up-to-date, broad and authoritative coverage of the most important theories within the various fields of the learning sciences and adjacent sciences and communication technologies; supplies clear and precise explanations of the theoretical terms, cross-references to related entries and up-to-date references to important research and publications. The Encyclopedia also contains biographical entries of individuals who have substantially contributed to the sciences of learning; the entries are written by a distinguished panel of researchers in the various fields of the learning sciences.
Taxonomy-- 'Classification, esp. of animals and plants according to their natural relationships...'Most readers will have heard of the biological taxonomies which permit classification into such categories as phyllum, class, order, family, genus, species, variety. Biologist have found their taxonomy markedly helpful as a means of insuring accuracy of communication about their science and as a means of understanding the organization and interrelation of the various parts of the animal and plant world.
This revision of Bloom's taxonomy is designed to help teachers understand and implement standards-based curriculums. Cognitive psychologists, curriculum specialists, teacher educators, and researchers have developed a two-dimensional framework, focusing on knowledge and cognitive processes. In combination, these two define what students are expected to learn in school. It explores curriculums from three unique perspectives-cognitive psychologists (learning emphasis), curriculum specialists and teacher educators (C & I emphasis), and measurement and assessment experts (assessment emphasis). This revisited framework allows you to connect learning in all areas of curriculum. Educators, or others interested in educational psychology or educational methods for grades K-12.
Both educators and their students are involved in the process of assessment – all parties are expected to meet and exceed expectations in the face of competing conditions. New practices are being developed to enhance students’ participation, especially in their own assessment, be it though peer-review, reflective assessment, the introduction of new technologies, or other novel solutions. Though widely researched, few have measured these innovations’ effectiveness in terms of satisfaction, perceived learning, or performance improvements. Innovative Practices for Higher Education Assessment and Measurement bridges the gap between political discourse, theoretical approach, and teaching practices in terms of assessment in higher education. Bringing new insights and presenting novel strategies, this publication brings forth a new perception of the importance of assessment and offers a set of successful, innovative practices. This book is ideal for educators, administrators, policy makers, and students of education.
Research on cognitive aspects of mathematical problem solving has made great progress in recent years, but the relationship of affective factors to problem-solving performance has been a neglected research area. The purpose of Affect and Mathematical Problem Solving: A New Perspective is to show how the theories and methods of cognitive science can be extended to include the role of affect in mathematical problem solving. The book presents Mandler's theory of emotion and explores its implications for the learning and teaching of mathematical problem solving. Also, leading researchers from mathematics, education, and psychology report how they have integrated affect into their own cognitive research. The studies focus on metacognitive processes, aesthetic influences on expert problem solvers, teacher decision-making, technology and teaching problem solving, and beliefs about mathematics. The results suggest how emotional factors like anxiety, frustration, joy, and satisfaction can help or hinder performance in problem solving.
As teaching strategies continue to change and evolve, and technology use in classrooms continues to increase, it is imperative that their impact on student learning is monitored and assessed. New practices are being developed to enhance students’ participation, especially in their own assessment, be it through peer-review, reflective assessment, the introduction of new technologies, or other novel solutions. Educators must remain up-to-date on the latest methods of evaluation and performance measurement techniques to ensure that their students excel. Learning and Performance Assessment: Concepts, Methodologies, Tools, and Applications is a vital reference source that examines emerging perspectives on the theoretical and practical aspects of learning and performance-based assessment techniques and applications within educational settings. Highlighting a range of topics such as learning outcomes, assessment design, and peer assessment, this multi-volume book is ideally designed for educators, administrative officials, principals, deans, instructional designers, school boards, academicians, researchers, and education students seeking coverage on an educator’s role in evaluation design and analyses of evaluation methods and outcomes.
A practical guide on how to assess and treat schizophrenia and related disorders using cognitive rehabilitation.
"This book focuses on the study and application of human computer interaction principles in the design of online education"--Provided by publisher.
Negative Affective States and Cognitive Impairments in Nicotine Dependence is the only book of its kind that addresses nicotine use and abuse in the context of negative reinforcement mechanisms. Written and edited by leading investigators in addiction, affective, genetic, and cognitive research, it provides researchers and advanced students with an overview of the clinical bases of these effects, allowing them to fully understand the various underlying dysfunctions that drive nicotine use in different individuals. In addition, this book examines animal models that researchers have utilized to investigate the biological bases of these dysfunctions. The combination of clinical and preclinical approaches to understanding nicotine dependence makes this book an invaluable resource for researchers and practitioners seeking to develop targeted treatments aimed at ameliorating symptoms of nicotine dependence, as well as identifying premorbid differences in affective or cognitive function. - Provides a unique perspective on nicotine dependence that emphasizes negative reinforcement rather than positive reinforcement - Examines psychiatric comorbidities and alleviation of withdrawal states as motivation for continued tobacco use - Includes both clinical and preclinical perspectives - Includes genetic and multi-neurotransmitter perspectives on nicotine use and withdrawal - Emphasizes heterogeneity of underlying reasons for smoking, the need for multiple animal models to understand this heterogeneity, and the expectation of heterogeneous responses to potential treatments, underscoring the need for personalized therapeutics