Discover Your Learning Intelligence
Discover Your Learning Intelligence

Author: Eva Hoffman

Publisher: Routledge

Published: 2017-07-05

Total Pages: 133

ISBN-13: 1351698788

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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.

Multiple Intelligences
Multiple Intelligences

Author: Howard E. Gardner

Publisher: Basic Books

Published: 1993

Total Pages: 320

ISBN-13: 9780465018222

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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.

MY FIRST A.I. BOOK - Artificial Intelligence and Learning
MY FIRST A.I. BOOK - Artificial Intelligence and Learning

Author: Nicky Roberts

Publisher: My First A.I. Book

Published: 2019-08-30

Total Pages: 34

ISBN-13: 9781513654249

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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

A Machine Learning, Artificial Intelligence Approach to Institutional Effectiveness in Higher Education
A Machine Learning, Artificial Intelligence Approach to Institutional Effectiveness in Higher Education

Author: John N. Moye Ph.D.

Publisher: Emerald Group Publishing

Published: 2019-07-29

Total Pages: 200

ISBN-13: 1789739012

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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.

Artificial Intelligence in Education
Artificial Intelligence in Education

Author: Rosemary Luckin

Publisher: IOS Press

Published: 2007

Total Pages: 764

ISBN-13: 1586037641

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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.

Active Learning
Active Learning

Author: Burr Chen

Publisher: Springer Nature

Published: 2022-05-31

Total Pages: 100

ISBN-13: 3031015606

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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

Teaching for Successful Intelligence
Teaching for Successful Intelligence

Author: Elena L Grigorenko

Publisher: Simon and Schuster

Published: 2016-02-23

Total Pages: 276

ISBN-13: 1510701281

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Coauthored by two internationally renowned educators and researchers, this resource helps teachers strengthen their classroom practice with lessons that promote successful intelligence—a set of abilities that allow students to adapt and succeed within their environment, make the most of their strengths, and learn to compensate for their weaknesses.

AI and Developing Human Intelligence
AI and Developing Human Intelligence

Author: John Senior

Publisher: Routledge

Published: 2021-09-16

Total Pages: 223

ISBN-13: 1000449653

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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.

Intelligence: All That Matters
Intelligence: All That Matters

Author: Stuart Ritchie

Publisher: John Murray

Published: 2015-06-18

Total Pages: 144

ISBN-13: 144479180X

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There is a strange disconnect between the scientific consensus and the public mind on intelligence testing. Just mention IQ testing in polite company, and you'll sternly be informed that IQ tests don't measure anything "real", and only reflect how good you are at doing IQ tests; that they ignore important traits like "emotional intelligence" and "multiple intelligences"; and that those who are interested in IQ testing must be elitists, or maybe something more sinister. Yet the scientific evidence is clear: IQ tests are extraordinarily useful. IQ scores are related to a huge variety of important life outcomes like educational success, income, and even life expectancy, and biological studies have shown they are genetically influenced and linked to measures of the brain. Studies of intelligence and IQ are regularly published in the world's top scientific journals. This book will offer an entertaining introduction to the state of the art in intelligence and IQ, and will show how we have arrived at what we know from a century's research. It will engage head-on with many of the criticisms of IQ testing by describing the latest high-quality scientific research, but will not be a simple point-by-point rebuttal: it will make a positive case for IQ research, focusing on the potential benefits for society that a better understanding of intelligence can bring.

Handbook On Computer Learning And Intelligence (In 2 Volumes)
Handbook On Computer Learning And Intelligence (In 2 Volumes)

Author: Plamen Parvanov Angelov

Publisher: World Scientific

Published: 2022-06-29

Total Pages: 1057

ISBN-13: 9811247331

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The Handbook on Computer Learning and Intelligence is a second edition which aims to be a one-stop-shop for the various aspects of the broad research area of computer learning and intelligence. This field of research evolved so much in the last five years that it necessitates this new edition of the earlier Handbook on Computational Intelligence.This two-volume handbook is divided into five parts. Volume 1 covers Explainable AI and Supervised Learning. Volume 2 covers three parts: Deep Learning, Intelligent Control, and Evolutionary Computation. The chapters detail the theory, methodology and applications of computer learning and intelligence, and are authored by some of the leading experts in the respective areas. The fifteen core chapters of the previous edition have been written and significantly refreshed by the same authors. Parts of the handbook have evolved to keep pace with the latest developments in computational intelligence in the areas that span across Machine Learning and Artificial Intelligence. The Handbook remains dedicated to applications and engineering-orientated aspects of these areas over abstract theories.Related Link(s)