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Learning Over Time


Learning Over Time
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Learning Over Time How Professionals Learn Know And Use Knowledge


Learning Over Time How Professionals Learn Know And Use Knowledge
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Author : Nona Lyons
language : en
Publisher: NAIRTL
Release Date : 2017-09-20

Learning Over Time How Professionals Learn Know And Use Knowledge written by Nona Lyons and has been published by NAIRTL this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-20 with Education categories.


This book takes up a provocative question: What do people learn and know from engaging in studies or from an experience of change and transition? Learning of professionals sometimes questioned is, surprisingly, seldom seriously researched. Drawing on their own research, the contributors of this book present a set of case studies of learning in diverse disciplinary domains and document what people say they learn and know, and how they use this knowledge. The authors consider implications for practice and research on learning from transitions and change.



Learning Over Time


Learning Over Time
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Author : Alan P. Maloney
language : en
Publisher: IAP
Release Date : 2014

Learning Over Time written by Alan P. Maloney and has been published by IAP this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Education categories.


The driving forces behind mathematics learning trajectories is the need to understand how children actually learn and make sense of mathematics-how they progress from prior knowledge, through intermediate understandings, to the mathematics target understandings-and how to use these insights to improve instruction and student learning. In this book, readers will come to understand what learning trajectories are, the research and methodology that are necessary for developing them, and gain insight into potential applications of learning trajectories. A synthesis and research outcome in their own right, learning trajectories provide detailed description of instructionally-grounded development of mathematical concepts and reasoning from the perspective of student learning, and, overall, building on decades of accumulated experience in mathematics education research. However, their greater importance may lie in their potential as frameworks that contribute an unprecedented coherence across classroom instruction, professional development, standards, and assessment, by focusing squarely on conceptual understanding and reasoning instead of assessment-driven procedural knowledge. This potential was sufficiently compelling as an organizing framework to have been cited as a basis for the Common Core mathematics standards, the new mathematics learning expectations that are now consistent across most of the United States. (Among the conference attendees were the writers of the Common Core State Standards for Mathematics, at the beginning of the Standards drafting process.) This book is an outgrowth of a conference on learning trajectories, hosted in 2009 at North Carolina State University, which examined research on learning trajectories. An overarching message of the chapters in this volume is that learning trajectories, by focusing on how children's mathematical reasoning develops, are coming into their own as a rigorous underpinning for both instruction and accountability. Some of the learning scientists featured in this volume have played major roles learning trajectories' evolution--from small-scale day-to-day conjectures by individual teachers, to systematic research endeavors that teachers and scientists alike can use to interpret standards, plan instruction, and formatively assess student work. The work in this volume will be of interest to mathematics educators, teachers, and professional development specialists.



Learning Over Time


Learning Over Time
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Author :
language : en
Publisher:
Release Date : 2009

Learning Over Time written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.




Learning And Literacy Over Time


Learning And Literacy Over Time
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Author : Julian Sefton-Green
language : en
Publisher:
Release Date : 2014-09-25

Learning And Literacy Over Time written by Julian Sefton-Green and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-25 with Education categories.


Learning and Literacy over Time addresses two gaps in literacy research--studies offering longitudinal perspectives on learners and the trajectory of their learning lives inside and outside of school, and studies revealing how past experiences with literacy and learning inform future experiences and practices. It does so by bringing together researchers who revisited subjects of their initial research conducted over the past 10-20 years with people whom they encountered through ethnographic or classroom-based investigations and are the subjects of previous published accounts. The case studies, drawn from countries in three continents and covering a range of social worlds, offer an original and at times quite an emotive interpretation of the effects of long-term social change in the UK, the US, Australia and Canada; the claims and aspirations made by and for certain kinds of educational interventions; how research subjects reflect on and learn from the processes of being co-opted into classroom research as well as how they make sense of school experiences; some of the widespread changes in literacy practices as a result of our move into the digital era; and above all, how academic research can learn from these life stories raising a number of challenges about methodology and our claims to 'know' the people we research. In many cases the process of revisiting led to important reconceptualizations of the earlier work and a sense of 'seeing with new eyes' what was missed in the past. The reflections on methodology and research processes will interest postgraduate and academic researchers. The studies of change and of long-term effects are widely relevant to teacher educators and scholars in language and literacy education, educational anthropology, life history research, media and cultural studies, and sociology.



Learning And Literacy Over Time


Learning And Literacy Over Time
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Author : Julian Sefton-Green
language : en
Publisher: Routledge
Release Date : 2014-09-25

Learning And Literacy Over Time written by Julian Sefton-Green and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-25 with Language Arts & Disciplines categories.


Learning and Literacy over Time addresses two gaps in literacy research—studies offering longitudinal perspectives on learners and the trajectory of their learning lives inside and outside of school, and studies revealing how past experiences with literacy and learning inform future experiences and practices. It does so by bringing together researchers who revisited subjects of their initial research conducted over the past 10-20 years with people whom they encountered through ethnographic or classroom-based investigations and are the subjects of previous published accounts. The case studies, drawn from countries in three continents and covering a range of social worlds, offer an original and at times quite an emotive interpretation of the effects of long-term social change in the UK, the US, Australia and Canada; the claims and aspirations made by and for certain kinds of educational interventions; how research subjects reflect on and learn from the processes of being co-opted into classroom research as well as how they make sense of school experiences; some of the widespread changes in literacy practices as a result of our move into the digital era; and above all, how academic research can learn from these life stories raising a number of challenges about methodology and our claims to 'know’ the people we research. In many cases the process of revisiting led to important reconceptualizations of the earlier work and a sense of 'seeing with new eyes’ what was missed in the past. The reflections on methodology and research processes will interest postgraduate and academic researchers. The studies of change and of long-term effects are widely relevant to teacher educators and scholars in language and literacy education, educational anthropology, life history research, media and cultural studies, and sociology.



Discovering The Brain


Discovering The Brain
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Author : National Academy of Sciences
language : en
Publisher: National Academies Press
Release Date : 1992-01-01

Discovering The Brain written by National Academy of Sciences and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992-01-01 with Medical categories.


The brain ... There is no other part of the human anatomy that is so intriguing. How does it develop and function and why does it sometimes, tragically, degenerate? The answers are complex. In Discovering the Brain, science writer Sandra Ackerman cuts through the complexity to bring this vital topic to the public. The 1990s were declared the "Decade of the Brain" by former President Bush, and the neuroscience community responded with a host of new investigations and conferences. Discovering the Brain is based on the Institute of Medicine conference, Decade of the Brain: Frontiers in Neuroscience and Brain Research. Discovering the Brain is a "field guide" to the brainâ€"an easy-to-read discussion of the brain's physical structure and where functions such as language and music appreciation lie. Ackerman examines: How electrical and chemical signals are conveyed in the brain. The mechanisms by which we see, hear, think, and pay attentionâ€"and how a "gut feeling" actually originates in the brain. Learning and memory retention, including parallels to computer memory and what they might tell us about our own mental capacity. Development of the brain throughout the life span, with a look at the aging brain. Ackerman provides an enlightening chapter on the connection between the brain's physical condition and various mental disorders and notes what progress can realistically be made toward the prevention and treatment of stroke and other ailments. Finally, she explores the potential for major advances during the "Decade of the Brain," with a look at medical imaging techniquesâ€"what various technologies can and cannot tell usâ€"and how the public and private sectors can contribute to continued advances in neuroscience. This highly readable volume will provide the public and policymakersâ€"and many scientists as wellâ€"with a helpful guide to understanding the many discoveries that are sure to be announced throughout the "Decade of the Brain."



How Learning Works


How Learning Works
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Author : Susan A. Ambrose
language : en
Publisher: John Wiley & Sons
Release Date : 2010-04-16

How Learning Works written by Susan A. Ambrose and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-04-16 with Education categories.


Praise for How Learning Works "How Learning Works is the perfect title for this excellent book. Drawing upon new research in psychology, education, and cognitive science, the authors have demystified a complex topic into clear explanations of seven powerful learning principles. Full of great ideas and practical suggestions, all based on solid research evidence, this book is essential reading for instructors at all levels who wish to improve their students' learning." —Barbara Gross Davis, assistant vice chancellor for educational development, University of California, Berkeley, and author, Tools for Teaching "This book is a must-read for every instructor, new or experienced. Although I have been teaching for almost thirty years, as I read this book I found myself resonating with many of its ideas, and I discovered new ways of thinking about teaching." —Eugenia T. Paulus, professor of chemistry, North Hennepin Community College, and 2008 U.S. Community Colleges Professor of the Year from The Carnegie Foundation for the Advancement of Teaching and the Council for Advancement and Support of Education "Thank you Carnegie Mellon for making accessible what has previously been inaccessible to those of us who are not learning scientists. Your focus on the essence of learning combined with concrete examples of the daily challenges of teaching and clear tactical strategies for faculty to consider is a welcome work. I will recommend this book to all my colleagues." —Catherine M. Casserly, senior partner, The Carnegie Foundation for the Advancement of Teaching "As you read about each of the seven basic learning principles in this book, you will find advice that is grounded in learning theory, based on research evidence, relevant to college teaching, and easy to understand. The authors have extensive knowledge and experience in applying the science of learning to college teaching, and they graciously share it with you in this organized and readable book." —From the Foreword by Richard E. Mayer, professor of psychology, University of California, Santa Barbara; coauthor, e-Learning and the Science of Instruction; and author, Multimedia Learning



Powerful Teaching


Powerful Teaching
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Author : Pooja K. Agarwal
language : en
Publisher: John Wiley & Sons
Release Date : 2019-05-13

Powerful Teaching written by Pooja K. Agarwal and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-13 with Education categories.


Unleash powerful teaching and the science of learning in your classroom Powerful Teaching: Unleash the Science of Learning empowers educators to harness rigorous research on how students learn and unleash it in their classrooms. In this book, cognitive scientist Pooja K. Agarwal, Ph.D., and veteran K–12 teacher Patrice M. Bain, Ed.S., decipher cognitive science research and illustrate ways to successfully apply the science of learning in classrooms settings. This practical resource is filled with evidence-based strategies that are easily implemented in less than a minute—without additional prepping, grading, or funding! Research demonstrates that these powerful strategies raise student achievement by a letter grade or more; boost learning for diverse students, grade levels, and subject areas; and enhance students’ higher order learning and transfer of knowledge beyond the classroom. Drawing on a fifteen-year scientist-teacher collaboration, more than 100 years of research on learning, and rich experiences from educators in K–12 and higher education, the authors present highly accessible step-by-step guidance on how to transform teaching with four essential strategies: Retrieval practice, spacing, interleaving, and feedback-driven metacognition. With Powerful Teaching, you will: Develop a deep understanding of powerful teaching strategies based on the science of learning Gain insight from real-world examples of how evidence-based strategies are being implemented in a variety of academic settings Think critically about your current teaching practices from a research-based perspective Develop tools to share the science of learning with students and parents, ensuring success inside and outside the classroom Powerful Teaching: Unleash the Science of Learning is an indispensable resource for educators who want to take their instruction to the next level. Equipped with scientific knowledge and evidence-based tools, turn your teaching into powerful teaching and unleash student learning in your classroom.



Deep Learning In Time Series Analysis


Deep Learning In Time Series Analysis
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Author : Arash Gharehbaghi
language : en
Publisher: CRC Press
Release Date : 2023-07-07

Deep Learning In Time Series Analysis written by Arash Gharehbaghi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-07 with Mathematics categories.


Deep learning is an important element of artificial intelligence, especially in applications such as image classification in which various architectures of neural network, e.g., convolutional neural networks, have yielded reliable results. This book introduces deep learning for time series analysis, particularly for cyclic time series. It elaborates on the methods employed for time series analysis at the deep level of their architectures. Cyclic time series usually have special traits that can be employed for better classification performance. These are addressed in the book. Processing cyclic time series is also covered herein. An important factor in classifying stochastic time series is the structural risk associated with the architecture of classification methods. The book addresses and formulates structural risk, and the learning capacity defined for a classification method. These formulations and the mathematical derivations will help the researchers in understanding the methods and even express their methodologies in an objective mathematical way. The book has been designed as a self-learning textbook for the readers with different backgrounds and understanding levels of machine learning, including students, engineers, researchers, and scientists of this domain. The numerous informative illustrations presented by the book will lead the readers to a deep level of understanding about the deep learning methods for time series analysis.



Short And Long Term Modality Effect In Multimedia Learning


Short And Long Term Modality Effect In Multimedia Learning
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Author : Alessia Ruf
language : en
Publisher: Springer
Release Date : 2016-01-15

Short And Long Term Modality Effect In Multimedia Learning written by Alessia Ruf and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-15 with Psychology categories.


In a multimethod laboratory study Alessia Ruf compared multimodal learning in system-paced and self-paced environments over time. The results show that overall participants achieved the highest learning success in short- and long-term when they learned with visual texts and controlled the learning time by themselves. These results reveal a general impression of the modality effect, show possibilities to improve e-learning systems and give recommendations for further research.