How To Teach Ai

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Teaching AI

Author : Michelle Zimmerman
Publisher : International Society for Technology in Education
ISBN 13 : 1564847284
Total Pages : 217 pages
Book Rating : 4.5/5 (648 download)

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Book Synopsis Teaching AI by : Michelle Zimmerman

Download or read book Teaching AI written by Michelle Zimmerman and published by International Society for Technology in Education. This book was released on 2018-12-15 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get the tools, resources and insights you need to explore artificial intelligence in the classroom and explore what students need to know about living in a world with AI. For many, artificial intelligence, or AI, may seem like science fiction, or inherently overwhelming. The reality is that AI is already being applied in industry and, for many of us, in our daily lives as well. A better understanding of AI can help you make informed decisions in the classroom that will impact the future of your students. Drawing from a broad variety of expert voices from countries including Australia, Japan, and South Africa, as well as educators from around the world and underrepresented student voices, this book explores some of the ways AI can improve education. These include educating learners about AI, teaching them about living in a world where they will be surrounded by AI and helping educators understand how they can use AI to augment human ability. Each chapter offers activities and questions to help you deepen your understanding, try out new concepts and reflect on the information presented. Links to media artifacts from trusted sources will help make your learning experience more dynamic while also providing additional resources to use in your classroom. This book: • Offers a unique approach to the topic, with chapter opening scenes, case studies, and featured student voices. • Discusses a variety of ways to teach students about AI, through design thinking, project-based learning and STEM connections. • Includes lesson ideas, activities and tools for exploring AI with your students. • Includes references to films and other media you can use in class to start discussions on AI or inspire design thinking and STEM projects. In Teaching AI, you’ll learn what AI is, how it works and how to use it to better prepare students in a world with increased human-computer interaction.

Machine Learning for Kids

Author : Dale Lane
Publisher : No Starch Press
ISBN 13 : 1718500572
Total Pages : 290 pages
Book Rating : 4.7/5 (185 download)

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Book Synopsis Machine Learning for Kids by : Dale Lane

Download or read book Machine Learning for Kids written by Dale Lane and published by No Starch Press. This book was released on 2021-01-19 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on, application-based introduction to machine learning and artificial intelligence (AI) that guides young readers through creating compelling AI-powered games and applications using the Scratch programming language. Machine learning (also known as ML) is one of the building blocks of AI, or artificial intelligence. AI is based on the idea that computers can learn on their own, with your help. Machine Learning for Kids will introduce you to machine learning, painlessly. With this book and its free, Scratch-based, award-winning companion website, you'll see how easy it is to add machine learning to your own projects. You don't even need to know how to code! As you work through the book you'll discover how machine learning systems can be taught to recognize text, images, numbers, and sounds, and how to train your models to improve their accuracy. You'll turn your models into fun computer games and apps, and see what happens when they get confused by bad data. You'll build 13 projects step-by-step from the ground up, including: • Rock, Paper, Scissors game that recognizes your hand shapes • An app that recommends movies based on other movies that you like • A computer character that reacts to insults and compliments • An interactive virtual assistant (like Siri or Alexa) that obeys commands • An AI version of Pac-Man, with a smart character that knows how to avoid ghosts NOTE: This book includes a Scratch tutorial for beginners, and step-by-step instructions for every project. Ages 12+

Deep Learning for Coders with fastai and PyTorch

Author : Jeremy Howard
Publisher : O'Reilly Media
ISBN 13 : 1492045497
Total Pages : 624 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Deep Learning for Coders with fastai and PyTorch by : Jeremy Howard

Download or read book Deep Learning for Coders with fastai and PyTorch written by Jeremy Howard and published by O'Reilly Media. This book was released on 2020-06-29 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala

Artificial Intelligence in Education

Author : Wayne Holmes
Publisher :
ISBN 13 : 9781794293700
Total Pages : 244 pages
Book Rating : 4.2/5 (937 download)

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Book Synopsis Artificial Intelligence in Education by : Wayne Holmes

Download or read book Artificial Intelligence in Education written by Wayne Holmes and published by . This book was released on 2019-02-28 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The landscape for education has been rapidly changing in the last years: demographic changes affecting the makeup of families, multiple school options available to children, wealth disparities, the global economy demanding new skills from workers, and continued breakthroughs in technology are some of the factors impacting education. Given these changes, how can schools continue to prepare students for the future? In a world where information is readily available online, how can schools continue to be relevant? The emergence of Artificial Intelligence (AI) has exacerbated the need to have these conversations. Its impact on education and the multiple possibilities that it offers are putting pressure on educational leaders to reformulate the school curriculum and the channels to deliver it. The book "Artificial Intelligence in Education, Promises and Implications for Teaching and Learning" by the Center for Curriculum Redesign immerses the reader in a discussion on what to teach students in the era of AI and examines how AI is already demanding much needed updates to the school curriculum, including modernizing its content, focusing on core concepts, and embedding interdisciplinary themes and competencies with the end goal of making learning more enjoyable and useful in students' lives. The second part of the book dives into the history of AI in education, its techniques and applications -including the way AI can help teachers be more effective, and finishes on a reflection about the social aspects of AI. This book is a must-read for educators and policy-makers who want to prepare schools to face the uncertainties of the future and keep them relevant." --Amada Torres, VP, Studies, Insights, and Research, National Association of Independent School (NAIS) "The rapid advances in technology in recent decades have already brought about substantial changes in education, opening up new opportunities to teach and learn anywhere anytime and providing new tools and methods to improve learning outcomes and support innovative teaching and learning.Research into artificial intelligence and machine learning in education goes back to the late 1970s. Artificial intelligence methods were generally employed in two ways: to design and facilitate interactive learning environments that would support learning by doing, and to design and implement tutoring systems by adapting instructions with respect to the students' knowledge state.But this is just the beginning. As Artificial Intelligence in Education shows, AI is increasingly used in education and learning contexts. The collision of three areas - data, computation and education - is set to have far-reaching consequences, raising fundamental questions about the nature of education: what is taught and how it is taught. Artificial Intelligence in Education is an important, if at times disturbing, contribution to the debate on AI and provides a detailed analysis on how it may affect the way teachers and students engage in education. The book describes how artificial intelligence may impact on curriculum design, on the individualisation of learning, and on assessment, offering some tantalising glimpses into the future (the end of exams, your very own lifelong learning companion) while not falling victim to tech-hype. The enormous ethical, technical and pedagogical challenges ahead are spelt out, and there is a real risk that the rapid advances in artificial intelligence products and services will outstrip education systems' capacity to understand, manage and integrate them appropriately. As the book concludes: "We can either leave it to others (the computer scientists, AI engineers and big tech companies) to decide how artificial intelligence in education unfolds, or we can engage in productive dialogue."I commend this book to anyone concerned with the future of education in a digital world." --Marc Durando, Executive Director, European Schoolnet

Teaching Naked

Author : José Antonio Bowen
Publisher : John Wiley & Sons
ISBN 13 : 1118238087
Total Pages : 273 pages
Book Rating : 4.1/5 (182 download)

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Book Synopsis Teaching Naked by : José Antonio Bowen

Download or read book Teaching Naked written by José Antonio Bowen and published by John Wiley & Sons. This book was released on 2012-07-03 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: You've heard about "flipping your classroom"—now find out how to do it! Introducing a new way to think about higher education, learning, and technology that prioritizes the benefits of the human dimension. José Bowen recognizes that technology is profoundly changing education and that if students are going to continue to pay enormous sums for campus classes, colleges will need to provide more than what can be found online and maximize "naked" face-to-face contact with faculty. Here, he illustrates how technology is most powerfully used outside the classroom, and, when used effectively, how it can ensure that students arrive to class more prepared for meaningful interaction with faculty. Bowen offers practical advice for faculty and administrators on how to engage students with new technology while restructuring classes into more active learning environments.

Teaching with AI

Author : José Antonio Bowen
Publisher : JHU Press
ISBN 13 : 1421449234
Total Pages : 280 pages
Book Rating : 4.4/5 (214 download)

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Book Synopsis Teaching with AI by : José Antonio Bowen

Download or read book Teaching with AI written by José Antonio Bowen and published by JHU Press. This book was released on 2024-04-30 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: How AI is revolutionizing the future of learning and how educators can adapt to this new era of human thinking. Artificial Intelligence (AI) is revolutionizing the way we learn, work, and think. Its integration into classrooms and workplaces is already underway, impacting and challenging ideas about creativity, authorship, and education. In this groundbreaking and practical guide, teachers will discover how to harness and manage AI as a powerful teaching tool. José Antonio Bowen and C. Edward Watson present emerging and powerful research on the seismic changes AI is already creating in schools and the workplace, providing invaluable insights into what AI can accomplish in the classroom and beyond. By learning how to use new AI tools and resources, educators will gain the confidence to navigate the challenges and seize the opportunities presented by AI. From interactive learning techniques to advanced assignment and assessment strategies, this comprehensive guide offers practical suggestions for integrating AI effectively into teaching and learning environments. Bowen and Watson tackle crucial questions related to academic integrity, cheating, and other emerging issues. In the age of AI, critical thinking skills, information literacy, and a liberal arts education are more important than ever. As AI continues to reshape the nature of work and human thinking, educators can equip students with the skills they need to thrive in a rapidly evolving world. This book serves as a compass, guiding educators through the uncharted territory of AI-powered education and the future of teaching and learning.

Designing Autonomous AI

Author : Kence Anderson
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098110706
Total Pages : 253 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Designing Autonomous AI by : Kence Anderson

Download or read book Designing Autonomous AI written by Kence Anderson and published by "O'Reilly Media, Inc.". This book was released on 2022-06-14 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: Early rules-based artificial intelligence demonstrated intriguing decision-making capabilities but lacked perception and didn't learn. AI today, primed with machine learning perception and deep reinforcement learning capabilities, can perform superhuman decision-making for specific tasks. This book shows you how to combine the practicality of early AI with deep learning capabilities and industrial control technologies to make robust decisions in the real world. Using concrete examples, minimal theory, and a proven architectural framework, author Kence Anderson demonstrates how to teach autonomous AI explicit skills and strategies. You'll learn when and how to use and combine various AI architecture design patterns, as well as how to design advanced AI without needing to manipulate neural networks or machine learning algorithms. Students, process operators, data scientists, machine learning algorithm experts, and engineers who own and manage industrial processes can use the methodology in this book to design autonomous AI. This book examines: Differences between and limitations of automated, autonomous, and human decision-making Unique advantages of autonomous AI for real-time decision-making, with use cases How to design an autonomous AI from modular components and document your designs

How to Teach AI

Author : Rachelle Dené Poth
Publisher : International Society for Technology in Education
ISBN 13 :
Total Pages : 194 pages
Book Rating : 4.8/5 (883 download)

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Book Synopsis How to Teach AI by : Rachelle Dené Poth

Download or read book How to Teach AI written by Rachelle Dené Poth and published by International Society for Technology in Education. This book was released on 2024-08-13 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get practical tools and strategies for teaching AI across the K-12 curriculum with this accessible guide. As AI continues to transform our world, educators have a responsibility to stay current with the changes, and ensure that students have the necessary knowledge and skills to succeed in the future. Written by an educator who is currently teaching on this topic, How to Teach AI shares practical strategies and tools based on what good practice looks like in the classroom right now. Readers will build confidence in integrating AI into their curriculum so they can effectively prepare students for their careers. Taking a friendly and accessible approach, the book covers a range of topics related to AI, such as machine learning, robotics and natural language processing, and includes examples of how these technologies are being implemented in different industries and their impact on education. The book includes a chapter dedicated to the ethics of AI, addressing issues around bias, intellectual property, student data privacy and more. The book includes: • Ideas for using generative AI in the classroom and tips for writing effective prompts. • Activity ideas across content areas, including computer science, economics, literature, music and more. • Time-saving ideas for teachers, and study aids for students to explore. • AI-powered tool recommendations for teachers. • Questions for reflection in every chapter. With examples from educators in the field, and a variety of resources to apply in the classroom, this book helps educators become comfortable with this important topic and create meaningful learning experiences for their students.

50 Strategies for Integrating AI into the Classroom

Author : Donnie Piercey
Publisher : Shell Education
ISBN 13 :
Total Pages : 97 pages
Book Rating : 4.7/5 (659 download)

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Book Synopsis 50 Strategies for Integrating AI into the Classroom by : Donnie Piercey

Download or read book 50 Strategies for Integrating AI into the Classroom written by Donnie Piercey and published by Shell Education. This book was released on 2024-02-13 with total page 97 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to harness the power of AI in your classroom! This professional resource includes 50 easy-to-implement strategies for using AI technology as a tool for teaching. This book saves teachers valuable time with activities that boost literacy, content knowledge, and student engagement using AI tools. Written by a teacher who specializes in using technology in his own classroom, this professional book introduces artificial intelligence and the many ways it can help educators. These quick, accessible strategies for using AI academically and creatively can be used in any K–12 classroom. From sample prompts for AI to activities that support community building and fun, help teachers save valuable time and implement creative strategies with the tools in this resource!

Artificial Intelligence with Python

Author : Prateek Joshi
Publisher : Packt Publishing Ltd
ISBN 13 : 1786469677
Total Pages : 437 pages
Book Rating : 4.7/5 (864 download)

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Book Synopsis Artificial Intelligence with Python by : Prateek Joshi

Download or read book Artificial Intelligence with Python written by Prateek Joshi and published by Packt Publishing Ltd. This book was released on 2017-01-27 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application.

Making Learning Whole

Author : David Perkins
Publisher : John Wiley & Sons
ISBN 13 : 0470633719
Total Pages : 279 pages
Book Rating : 4.4/5 (76 download)

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Book Synopsis Making Learning Whole by : David Perkins

Download or read book Making Learning Whole written by David Perkins and published by John Wiley & Sons. This book was released on 2010-09-28 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: New in Paperback! Make learning more meaningful by teaching the "whole game" David Perkins, a noted authority on teaching and learning and co-director of Harvard's Project Zero, introduces a practical and research-based framework for teaching. He describes how teaching any subject at any level can be made more effective if students are introduced to the "whole game," rather than isolated pieces of a discipline. Perkins explains how learning academic subjects should be approached like learning baseball or any game, and he demonstrates this with seven principles for making learning whole: from making the game worth playing (emphasizing the importance of motivation to sustained learning), to working on the hard parts (the importance of thoughtful practice), to learning how to learn (developing self-managed learners). Vividly explains how to organize learning in ways that allow people to do important things with what they know Offers guidelines for transforming education to prepare our youth for success in a rapidly changing world Filled with real-world, illustrative examples of the seven principles At the end of each chapter, Perkins includes "Wonders of Learning," a summary of the key ideas.

Robotics for Young Children

Author : Ann Gadzikowski
Publisher : Redleaf Press
ISBN 13 : 1605545457
Total Pages : 200 pages
Book Rating : 4.6/5 (55 download)

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Book Synopsis Robotics for Young Children by : Ann Gadzikowski

Download or read book Robotics for Young Children written by Ann Gadzikowski and published by Redleaf Press. This book was released on 2017-12-01 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduce young children to the building and programming of robots through playful, developmentally appropriate activities. Many early childhood professionals are unfamiliar with computer science, robotics, and engineering concepts. This user-friendly and accessible book gives teachers great ideas for engaging young children with 100 exciting hands-on computer science and engineering activities. The book can be easily included in a developmentally appropriate curriculum and offers a balance of adult-facilitated and child-centered activities. Ann Gadzikowski has more than twenty-five years of experience as a teacher and director of early childhood programs, and is the Early Childhood Coordinator for Northwestern University's Center for Talent Development and oversees the summer Leapfrog Program. Her book Creating a Beautiful Mess: Ten Essential Play Experiences for a Joyous Childhood won gold in the 2015 National Parenting Publications Awards.

AI-Enhanced Teaching Methods

Author : Ahmed, Zeinab E.
Publisher : IGI Global
ISBN 13 :
Total Pages : 426 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis AI-Enhanced Teaching Methods by : Ahmed, Zeinab E.

Download or read book AI-Enhanced Teaching Methods written by Ahmed, Zeinab E. and published by IGI Global. This book was released on 2024-04-22 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: The digital age has ushered in an era where students must be equipped not only with traditional knowledge but also with the skills to navigate an increasingly interconnected and technologically driven world. As traditional teaching methods encounter the complexities of the 21st century, the demand for innovation becomes more apparent. This paves the way for the era of artificial intelligence (AI), a technological frontier that carries the potential to reshape education fundamentally. AI-Enhanced Teaching Methods recognizes the urgency of the ongoing technological shift and delves into an exploration of how AI can be effectively harnessed to redefine the learning experience. The book serves as a guide for educators, offering insights into navigating between conventional teaching methodologies and the possibilities presented by AI. It provides an understanding of AI's role in education, covering topics from machine learning to natural language processing. Ethical considerations, including privacy and bias, are thoroughly addressed with thoughtful solutions as well. Additionally, the book provides valuable support for administrators, aiding in the integration of these technologies into existing curricula.

You Look Like a Thing and I Love You

Author : Janelle Shane
Publisher : Voracious
ISBN 13 : 0316525235
Total Pages : 272 pages
Book Rating : 4.3/5 (165 download)

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Book Synopsis You Look Like a Thing and I Love You by : Janelle Shane

Download or read book You Look Like a Thing and I Love You written by Janelle Shane and published by Voracious. This book was released on 2019-11-05 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: As heard on NPR's "Science Friday," discover the book recommended by Malcolm Gladwell, Susan Cain, Daniel Pink, and Adam Grant: an "accessible, informative, and hilarious" introduction to the weird and wonderful world of artificial intelligence (Ryan North). "You look like a thing and I love you" is one of the best pickup lines ever . . . according to an artificial intelligence trained by scientist Janelle Shane, creator of the popular blog AI Weirdness. She creates silly AIs that learn how to name paint colors, create the best recipes, and even flirt (badly) with humans—all to understand the technology that governs so much of our daily lives. We rely on AI every day for recommendations, for translations, and to put cat ears on our selfie videos. We also trust AI with matters of life and death, on the road and in our hospitals. But how smart is AI really... and how does it solve problems, understand humans, and even drive self-driving cars? Shane delivers the answers to every AI question you've ever asked, and some you definitely haven't. Like, how can a computer design the perfect sandwich? What does robot-generated Harry Potter fan-fiction look like? And is the world's best Halloween costume really "Vampire Hog Bride"? In this smart, often hilarious introduction to the most interesting science of our time, Shane shows how these programs learn, fail, and adapt—and how they reflect the best and worst of humanity. You Look Like a Thing and I Love You is the perfect book for anyone curious about what the robots in our lives are thinking. "I can't think of a better way to learn about artificial intelligence, and I've never had so much fun along the way." —Adam Grant, New York Times bestselling author of Originals

A Beginner's Guide to Introduce Artificial Intelligence in Teaching and Learning

Author : Muralidhar Kurni
Publisher : Springer Nature
ISBN 13 : 3031326539
Total Pages : 236 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis A Beginner's Guide to Introduce Artificial Intelligence in Teaching and Learning by : Muralidhar Kurni

Download or read book A Beginner's Guide to Introduce Artificial Intelligence in Teaching and Learning written by Muralidhar Kurni and published by Springer Nature. This book was released on 2023-06-28 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reimagines education in today’s Artificial Intelligence (AI) world and the Fourth Industrial Revolution. Artificial intelligence will drastically affect every industry and sector, and education is no exception. This book aims at how AI may impact the teaching and learning process in education. This book is designed to demystify AI for teachers and learners. This book will help improve education and support institutions in the phenomena of the emergence of AI in teaching and learning. This book presents a comprehensive study of how AI improves teaching and learning, from AI-based learning platforms to AI-assisted proctored examinations. This book provides educators, learners, and administrators on how AI makes sense in their everyday practice. Describing the application of AI in ten key aspects, this comprehensive volume prepares educational leaders, designers, researchers, and policymakers to effectively rethink the teaching and learning process and environments that students need to thrive. The readers of this book never fall behind the fast pace and promising innovations of today’s most advanced learning technology.

AI Literacy in K-16 Classrooms

Author : Davy Tsz Kit Ng
Publisher : Springer Nature
ISBN 13 : 3031188802
Total Pages : 153 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis AI Literacy in K-16 Classrooms by : Davy Tsz Kit Ng

Download or read book AI Literacy in K-16 Classrooms written by Davy Tsz Kit Ng and published by Springer Nature. This book was released on 2022-12-07 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence is at the top of the agenda for education leaders, scientists, technologists and policy makers in educating the next generation across the globe. Beyond applying AI in daily life applications and educational tools, understanding how to learn and teach AI is increasingly important. Despite these emerging technology breakthroughs, AI learning is still new to educators especially to K-16 teachers. There is a lack of evidence-based studies that inform them about AI learning, including design principles for building a set of curriculum content, and pedagogical approaches as well as technological tools. Teaching AI concepts and techniques from programming languages and developmentally appropriate learning tools (e.g., robotics, serious games, software, intelligent agents) across different education levels emerged in recent years. The primary purpose of this book is to respond to the need to conceptualize the emerging term “AI literacy” and investigate how to teach and learn AI in K-16 education settings. This book examines different aspects of learning artefacts, pedagogies, content knowledge and assessment methods of AI literacy education, from theoretical discussions to practical recommendations for curriculum and instructional design. An exhaustive summary of current evidence with examples is illustrated in this book, as well as cutting-edge research that serves as an AI literacy model for different countries’ contexts. Part I, “Conceptualizing AI literacy”, provides a detailed discussion on the development of the concepts and frameworks on AI literacy education, discusses the differences and similarities between AI in education (AIED) and AI literacy education, and illustrates the reasons why K-16 students need to learn AI. These concepts are brought together in Part II, “K-16 AI literacy education” to further summarize the pedagogies, learning content, learning tools and assessment methods to inform K-16 educators how to design their AI instruction at each education level. After that, part III “AI literacy for instructional designers” explores how instructional designers (i.e., AI developers and teachers) prepare themselves to become ready to design developmentally appropriate tools, platforms, services and curricula to empower students with AI literacy skills.

AI for School Teachers

Author : Rose Luckin
Publisher : CRC Press
ISBN 13 : 1000543722
Total Pages : 77 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis AI for School Teachers by : Rose Luckin

Download or read book AI for School Teachers written by Rose Luckin and published by CRC Press. This book was released on 2022-04-07 with total page 77 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is artificial intelligence? Can I realistically use it in my school? What’s best done by human intelligence vs. artificial intelligence, and how do I bring these strengths together? What would it look like for me, and my school, to be AI Ready? AI for School Teachers will help teachers and headteachers understand enough about AI to build a strategy for how it can be used in their school. Examining the needs of schools to ensure they are ready to leverage the power of AI and drawing examples from early years to high school students, this book outlines the educational implications and benefits that AI brings to school education in practical ways. It develops an understanding of what AI is and isn't and how we define and measure what we value and provides a framework which supports a step-by-step approach to developing an AI mindset, focusing on ways to improve educational opportunities for students with evidence-informed interventions.