Learning Intelligence
Download Learning Intelligence full books in PDF, epub, and Kindle. Read online free Learning Intelligence ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
| Author | : Eva Hoffman |
| Publisher | : Routledge |
| Total Pages | : 133 |
| Release | : 2017-07-05 |
| Genre | : Business & Economics |
| ISBN | : 1351698788 |
This is a must-have book to study, learn and revise using various innovative techniques, including mind mapping. Teaching is often delivered in a way that best suits the learning style of those teaching rather than the recipient. This book provides a first step to understanding your own unique and most effective learning strategies. It includes illustrations on how to use and PowerPoint training tools. Easy to understand, comprehensive and rigorously tested. Includes: how to discover how you learn best; the importance of mind mapping - a powerful learning tool; and How to boost memory. The author introduces a range of strategies to achieve the goal of becoming a more effective learner, for example steps: select strategies and tips that appeal to you; try out each one, ideally a few times; evaluate their effectiveness (see whether they work); practise the ones that work; and savour your success! Part one of the book deals with understanding that each person is unique and it is important therefore to understand that learner styles will differ, but all are valid. It provides methods to examine and understand personal and emotional strengths and then apply that to identifying study skill strengths. There are activities that identify learning preferences and how to maximise on this discovery. Clearly understanding yourself is the first step to working out the very best way to work. How to use the mind-mapping tool to good effect is explored in detail with many examples and clear illustrations. The second part of the book explores how to apply this new found knowledge and challenges the reader to really examine their attitude to themselves and to learning; how to use this knowledge in a positive way to improve and really enjoy the learning experience. Activities for motivation, attention, creating a suitable learning environment, avoiding distraction and removing stress. This unique book focuses exclusively on learners and their learning. It includes a range of activities especially designed to empower the learner with knowledge about the variety of ways in which people learn, taking the reader on a positive and rewarding journey of self-discovery.
| Author | : Michael Shayer |
| Publisher | : |
| Total Pages | : 232 |
| Release | : 2002 |
| Genre | : Education |
| ISBN | : |
At present few children realise their true potential. This work describes how children's general ability to process information - their intelligence - can be significantly improved by appropriate cognitive acceleration methods.
| Author | : Howard E. Gardner |
| Publisher | : Basic Books |
| Total Pages | : 320 |
| Release | : 1993 |
| Genre | : Education |
| ISBN | : 9780465018222 |
Howard Gardner's brilliant conception of individual competence is changing the face of education today. In the ten years since the publication of his seminal Frames of Mind , thousands of educators, parents, and researchers have explored the practical implications of Multiple Intelligences (MI) theory—the powerful notion that there are separate human capacities, ranging from musical intelligence to the intelligence involved in understanding oneself. Multiple Intelligences: The Theory in Practice brings together previously published and original work by Gardner and his colleagues at Project Zero to provide a coherent picture of what we have learned about the educational applications of MI theory from projects in schools and formal research over the last decade.
| Author | : Sue Teele |
| Publisher | : Corwin Press |
| Total Pages | : 188 |
| Release | : 2000-04-15 |
| Genre | : Education |
| ISBN | : 9780761976301 |
Foreword by Thomas ArmstrongThis book explores the multiple ways students process information and examines multiple intelligences through the relationship between rainbows, colors, and how individuals learn. If we consider the full range of human potential as the spectrum of the rainbow, then each individual is unique and has the potential to develop all of the intelligences using different areas of the brain. The author has included several lesson plans that can be adapted for students of any age, and has written them to meet U.S. and California standards. This book will be a valuable resource for educators and administrators, school boards, and parents.
| Author | : Rosemary Luckin |
| Publisher | : IOS Press |
| Total Pages | : 764 |
| Release | : 2007 |
| Genre | : Computers |
| ISBN | : 1586037641 |
The nature of technology has changed since Artificial Intelligence in Education (AIED) was conceptualized as a research community and Interactive Learning Environments were initially developed.
| Author | : John N. Moye Ph.D. |
| Publisher | : Emerald Group Publishing |
| Total Pages | : 200 |
| Release | : 2019-07-29 |
| Genre | : Education |
| ISBN | : 1789739012 |
This book presents a practical, effective, and systematic approach to the measurement, assessment, and sensemaking of institutional performance. Included are strategies to measure and assess the performance of Curriculum, Learning, Instruction, Support Services, and Program Feasibility as well as a meaningful Environmental Scanning method.
| Author | : Nicky Roberts |
| Publisher | : My First A.I. Book |
| Total Pages | : 34 |
| Release | : 2019-08-30 |
| Genre | : Juvenile Fiction |
| ISBN | : 9781513654249 |
Artificial Intelligence and Learning is a teaser in a series of books and pioneering book for kids on Artificial Intelligence (A.I.) which focuses on its chief concept: LEARNING. The My First A.I. Books Series introduces kids of all ages to the foundational concepts for Artificial Intelligence and the 4th Industrial/Human Revolution, AKA I4.0 or 4IR or IOT. Written by three global experts and active scientific researchers, Professors Fernando Buarque (Ph.D. in A.I. Imperial College London), Tshilidzi Marwala (Ph.D. in A.I. at University of Cambridge), and Nicky Roberts (Ph.D. in Mathematics Education at the University of Witwatersrand).This book and series are suitable for all kids starting their Artificial Intelligence journey. As a matter of fact, the future of humankind depends centrally on how A.I. will be produced and used. As such, little readers are encouraged to think and talk in an informed manner about A.I. topics. The story of this first book, sets the plot by delving into the evolution of human tools (up to the fourth human revolution), types of learning, the ingredients for adaptive computer programs (i.e. programs that are able to learn), and even provides a working definition of A.I. All the books of the series are packed with concepts and encourage inquiry. They aim to widen the kids' perspectives on, and also nurture their participation with, these new concepts and tools. All that in this amazing unfolding revolution - the Revolution of the Intelligence. The authors took care to include not only technical concepts, but humanistic and character-building values too. Thus, readers would acquire a good foundation for their future, which may even not be a technical one (but certainly will include A.I.). Ideally, this book should be read by the kids with an adult. It is handsomely complemented by five more books, which portrait five missions, detailing other chief functional A.I. concepts. In each mission the explorers are challenged to delve (and learn) five different ways of using A.I. on real-world problems. The other books in the My First A.I. Books Series are: -My First A.I. Book - Mission of Team-B is Searching -My First A.I. Book - Mission of Team-R is Predicting-My First A.I. Book - Mission of Team-I is Classifying-My First A.I. Book - Mission of Team-C is Optimizing-My First A.I. Book - Mission of Team-S is Interfacing
| Author | : Burr Chen |
| Publisher | : Springer Nature |
| Total Pages | : 100 |
| Release | : 2022-05-31 |
| Genre | : Computers |
| ISBN | : 3031015606 |
The key idea behind active learning is that a machine learning algorithm can perform better with less training if it is allowed to choose the data from which it learns. An active learner may pose "queries," usually in the form of unlabeled data instances to be labeled by an "oracle" (e.g., a human annotator) that already understands the nature of the problem. This sort of approach is well-motivated in many modern machine learning and data mining applications, where unlabeled data may be abundant or easy to come by, but training labels are difficult, time-consuming, or expensive to obtain. This book is a general introduction to active learning. It outlines several scenarios in which queries might be formulated, and details many query selection algorithms which have been organized into four broad categories, or "query selection frameworks." We also touch on some of the theoretical foundations of active learning, and conclude with an overview of the strengths and weaknesses of these approaches in practice, including a summary of ongoing work to address these open challenges and opportunities. Table of Contents: Automating Inquiry / Uncertainty Sampling / Searching Through the Hypothesis Space / Minimizing Expected Error and Variance / Exploiting Structure in Data / Theory / Practical Considerations
| Author | : John Senior |
| Publisher | : Routledge |
| Total Pages | : 223 |
| Release | : 2021-09-16 |
| Genre | : Education |
| ISBN | : 1000449653 |
As the relationship between AI machines and humans develops, we ask what it will mean to be an intelligent learner in an emerging, socio-dynamic learningscape. The need for a new global view of intelligence and education is the core discussion of this future-focussed collection of ideas, questions, and activities for learners to explore. This fascinating guide offers activities to understand what needs to be changed in our educations systems and our view of intelligence. As well as exploring AI, HI, the future of learning and caring for all learners, this book addresses fundamental questions such as: How do we educate ourselves for an increasingly uncertain future? What is the purpose of intelligence? How can a curriculum focussing on human curiosity and creativity be created? Who are we and what are we becoming? What will we invent now that AI exists? AI and Developing Human Intelligence will interest you, inform you, and empower your understanding of "intelligence" and where we are going on the next part of our journey in understanding what it is to be human now and tomorrow.
| Author | : Melanie Mitchell |
| Publisher | : Farrar, Straus and Giroux |
| Total Pages | : 336 |
| Release | : 2019-10-15 |
| Genre | : Computers |
| ISBN | : 0374715238 |
Melanie Mitchell separates science fact from science fiction in this sweeping examination of the current state of AI and how it is remaking our world No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent—really—are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize–winning author of the modern classic Gödel, Escher, Bach, who explains why he is “terrified” about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go. Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell’s humor and personal observations. This frank, lively book is an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impact on the future for us all.
