How Learning Works

How Learning Works

Author: Susan A. Ambrose

Publisher: John Wiley & Sons

Published: 2010-04-16

Total Pages: 336

ISBN-13: 0470617608

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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


Data Intelligence and Cognitive Informatics

Data Intelligence and Cognitive Informatics

Author: I. Jeena Jacob

Publisher: Springer Nature

Published: 2024-02-07

Total Pages: 579

ISBN-13: 9819979625

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The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Intelligence and Cognitive Informatics (ICDICI 2023), organized by SCAD College of Engineering and Technology, Tirunelveli, India, during June 27–28, 2023. This book discusses new cognitive informatics tools, algorithms and methods that mimic the mechanisms of the human brain which lead to an impending revolution in understating a large amount of data generated by various smart applications. The book includes novel work in data intelligence domain which combines with the increasing efforts of artificial intelligence, machine learning, deep learning and cognitive science to study and develop a deeper understanding of the information processing systems.


Information Theory, Inference and Learning Algorithms

Information Theory, Inference and Learning Algorithms

Author: David J. C. MacKay

Publisher: Cambridge University Press

Published: 2003-09-25

Total Pages: 694

ISBN-13: 9780521642989

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Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book introduces theory in tandem with applications. Information theory is taught alongside practical communication systems such as arithmetic coding for data compression and sparse-graph codes for error-correction. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art error-correcting codes, including low-density-parity-check codes, turbo codes, and digital fountain codes - the twenty-first-century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning.


Practical Peer-to-Peer Teaching and Learning on the Social Web

Practical Peer-to-Peer Teaching and Learning on the Social Web

Author: Hai-Jew, Shalin

Publisher: IGI Global

Published: 2021-11-19

Total Pages: 497

ISBN-13: 1799864987

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On the Social Web, people share their enthusiasms and expertise on almost every topic, and based on this, learners can find resources created by individuals with varying expertise. Through this trend and the wide availability of video cameras and authoring tools, people are creating DIY resources and sharing their knowledge, skills, and abilities broadly. While these resources are increasing in availability, what has not been explored is the effectiveness of these resources, peer-to-peer teaching and learning, and how well this content prepares learners for professional roles. Practical Peer-to-Peer Teaching and Learning on the Social Web explores the efficacies of online teaching and learning with materials by peers and provides insights into what is made available for teaching and learning by the broad public. It also considers intended and unintended outcomes of open-shared learning online and discusses practical ethics in teaching and learning online. Covering topics such as learner roles and instructional design, it is ideal for teachers, instructional designers and developers, software developers, user interface designers, researchers, academicians, and students.


MICAI 2000: Advances in Artificial Intelligence

MICAI 2000: Advances in Artificial Intelligence

Author: Osvaldo Cairo

Publisher: Springer

Published: 2006-12-30

Total Pages: 763

ISBN-13: 3540455620

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Fifty years ago, A. Turing predicted that by 2000 we would have a machine that could pass the Turing test. Although this may not yet be true, AI has advanced signi?cantly in these 50 years, and at the dawn of the XXI century is still an activeandchallenging?eld.Thisyearisalsosigni?cantforAIinMexico,withthe merging of the two major AI conferences into the biennial Mexican International Conference on Arti?cial Intelligence (MICAI) series. MICAI is the union of the Mexican National AI Conference (RNIA) and the International AI Symposium (ISAI), organized annually by the Mexican Society forAI(SMIA,since1984)andbytheMonterreyInstituteofTechnology(ITESM, since1988),respectively.The?rstMexicanInternationalConferenceonArti?cial Intelligence, MICAI 2000, took place April 11-14, 2000, in the city of Acapulco, Mexico.ThisconferenceseekstopromoteresearchinAI,andcooperationamong Mexican researchers and their peers worldwide. We welcome you all. Over 163 papers from 17 di?erent countries were submitted for consideration to MICAI 2000. After reviewing them thoroughly, MICAI’s program committee, referees, and program chair accepted 60 papers for the international track. This volume contains the written version of the papers and invited talks presented at MICAI. We would like to acknowledge the support of the American Association for Arti?cial Intelligence (AAAI), and the International Joint Conference on Art- cial Intelligence (IJCAI). We are specially grateful for the warm hospitality and generosity o?ered by the Acapulco Institute of Technology.


The Science of Learning and Development

The Science of Learning and Development

Author: Pamela Cantor

Publisher: Routledge

Published: 2021-06-21

Total Pages: 245

ISBN-13: 100039977X

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This essential text unpacks major transformations in the study of learning and human development and provides evidence for how science can inform innovation in the design of settings, policies, practice, and research to enhance the life path, opportunity and prosperity of every child. The ideas presented provide researchers and educators with a rationale for focusing on the specific pathways and developmental patterns that may lead a specific child, with a specific family, school, and community, to prosper in school and in life. Expanding key published articles and expert commentary, the book explores a profound evolution in thinking that integrates findings from psychology with biology through sociology, education, law, and history with an emphasis on institutionalized inequities and disparate outcomes and how to address them. It points toward possible solutions through an understanding of and addressing the dynamic relations between a child and the contexts within which he or she lives, offering all researchers of human development and education a new way to understand and promote healthy development and learning for diverse, specific youth regardless of race, socioeconomic status, or history of adversity, challenge, or trauma. The book brings together scholars and practitioners from the biological/medical sciences, the social and behavioral sciences, educational science, and fields of law and social and educational policy. It provides an invaluable and unique resource for understanding the bases and status of the new science, and presents a roadmap for progress that will frame progress for at least the next decade and perhaps beyond.


Generative AI in Teaching and Learning

Generative AI in Teaching and Learning

Author: Hai-Jew, Shalin

Publisher: IGI Global

Published: 2023-12-05

Total Pages: 459

ISBN-13:

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Generative AI in Teaching and Learning delves into the revolutionary field of generative artificial intelligence and its impact on education. This comprehensive guide explores the multifaceted applications of generative AI in both formal and informal learning environments, shedding light on the ethical considerations and immense opportunities that arise from its implementation. From the early approaches of utilizing generative AI in teaching to its integration into various facets of learning, this book offers a profound analysis of its potential. Teachers, researchers, instructional designers, developers, data analysts, programmers, and learners alike will find valuable insights into harnessing the power of generative AI for educational purposes.