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Author: Michael Shayer Publisher: ISBN: Category : Education Languages : en Pages : 232
Book Description
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: Michael Shayer Publisher: ISBN: Category : Education Languages : en Pages : 232
Book Description
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 ISBN: 0786721871 Category : Psychology Languages : en Pages : 315
Book Description
The most complete account of the theory and application of Multiple Intelligences available anywhere. Howard Gardner's brilliant conception of individual competence, known as Multiple Intelligences theory, has changed the face of education. Tens of thousands of educators, parents, and researchers have explored the practical implications and applications of this powerful notion, that there is not one type of intelligence but several, ranging from musical intelligence to the intelligence involved in self-understanding. Multiple Intelligences distills nearly three decades of research on Multiple Intelligences theory and practice, covering its central arguments and numerous developments since its introduction in 1983. Gardner includes discussions of global applications, Multiple Intelligences in the workplace, an assessment of Multiple Intelligences practice in the current conservative educational climate, new evidence about brain functioning, and much more.
Author: Rosemary Luckin Publisher: IOS Press ISBN: 1586037641 Category : Computers Languages : en Pages : 764
Book Description
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: Howard E. Gardner Publisher: Basic Books ISBN: 9780465018222 Category : Education Languages : en Pages : 320
Book Description
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: Zsolt Nagy Publisher: Packt Publishing Ltd ISBN: 1789809207 Category : Computers Languages : en Pages : 330
Book Description
Create AI applications in Python and lay the foundations for your career in data science Key FeaturesPractical examples that explain key machine learning algorithmsExplore neural networks in detail with interesting examplesMaster core AI concepts with engaging activitiesBook Description Machine learning and neural networks are pillars on which you can build intelligent applications. Artificial Intelligence and Machine Learning Fundamentals begins by introducing you to Python and discussing AI search algorithms. You will cover in-depth mathematical topics, such as regression and classification, illustrated by Python examples. As you make your way through the book, you will progress to advanced AI techniques and concepts, and work on real-life datasets to form decision trees and clusters. You will be introduced to neural networks, a powerful tool based on Moore's law. By the end of this book, you will be confident when it comes to building your own AI applications with your newly acquired skills! What you will learnUnderstand the importance, principles, and fields of AIImplement basic artificial intelligence concepts with PythonApply regression and classification concepts to real-world problemsPerform predictive analysis using decision trees and random forestsCarry out clustering using the k-means and mean shift algorithmsUnderstand the fundamentals of deep learning via practical examplesWho this book is for Artificial Intelligence and Machine Learning Fundamentals is for software developers and data scientists who want to enrich their projects with machine learning. You do not need any prior experience in AI. However, it’s recommended that you have knowledge of high school-level mathematics and at least one programming language (preferably Python).
Author: Melanie Mitchell Publisher: Farrar, Straus and Giroux ISBN: 0374715238 Category : Computers Languages : en Pages : 336
Book Description
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.
Author: John Senior Publisher: Routledge ISBN: 1000449653 Category : Education Languages : en Pages : 223
Book Description
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: Elena L Grigorenko Publisher: Simon and Schuster ISBN: 1510701281 Category : Education Languages : en Pages : 276
Book Description
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.
Author: Walter McKenzie Publisher: ISBN: 9781564843098 Category : Multiple intelligences Languages : en Pages : 0
Book Description
Today's classroom should support multiple learning styles while incorporating technology use in an authentic, real-world manner. To help you grow this digital age learning environment, Walter McKenzie brings together ideas from multiple intelligences and project-based learning to develop a new instructional model, the Intelligence Quest (IQuest). This flexible, self-directed learning journey approach provides educators with a clear structure and specific goals for a technology-infused classroom. Intelligence Quest an in-depth overview of the IQuest - what it is and how you can adapt it for use in any subject or any classroom. McKenzie breaks the nine intelligences into three domains: thinking critically, thinking within, and thinking outward. Provides six types of IQuests and links each IQuest to the corresponding NETS-S. This new instructional model will push your thinking and help you develop meaningful learning experiences. - Back cover
Author: Ameet V Joshi Publisher: Springer Nature ISBN: 3030266222 Category : Technology & Engineering Languages : en Pages : 261
Book Description
This book provides comprehensive coverage of combined Artificial Intelligence (AI) and Machine Learning (ML) theory and applications. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both perspectives to give holistic understanding. The first part introduces the concepts of AI and ML and their origin and current state. The second and third parts delve into conceptual and theoretic aspects of static and dynamic ML techniques. The forth part describes the practical applications where presented techniques can be applied. The fifth part introduces the user to some of the implementation strategies for solving real life ML problems. The book is appropriate for students in graduate and upper undergraduate courses in addition to researchers and professionals. It makes minimal use of mathematics to make the topics more intuitive and accessible. Presents a full reference to artificial intelligence and machine learning techniques - in theory and application; Provides a guide to AI and ML with minimal use of mathematics to make the topics more intuitive and accessible; Connects all ML and AI techniques to applications and introduces implementations.
Author: Michael Shayer
Author: Michael Shayer
Author: Howard E Gardner
Author: Rosemary Luckin
Author: Howard E. Gardner
Author: Zsolt Nagy
Author: Melanie Mitchell
Author: John Senior
Author: Elena L Grigorenko
Author: Walter McKenzie
Author: Ameet V Joshi