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Artificial Intelligence is unarguably among the most elite modern day computer concepts. It is also unarguably among the most baffling and misunderstood ones. AI is the future of life as ordinary people know it. It is a rapidly changing and complex technology that has already stealthily invaded homes and workplaces, permanently altering lifestyles, communication methods, and modes of thinking and response. Yet laymen remain unclear as to what AI actually is. This book is an introduction to AI and a practical guide on how to move forward in the field. The first book of its kind that is equally enlightening for all people from grades 5 to graduate level, it seeks to addrress the most perplexing and misconstrued questions surrounding a layman's understanding of AI. What exactly is AI? How can an ordinary person learn about it? Will artificial intelligence end common professions in the world? Will mankind become completely dependent on computers? Will computers become capable of thinking and pondering by themselves? Will they know what they're doing? Will they be able to make independent decisions in new and complicated situations? Will they be able to fix themselves? And if they do, will they still follow human commands and abide by moral and social codes? These are all the questions that AI research is striving to answer at present. The future belongs to AI and progress and innovation in any field is impossible without understanding it adapting to the new age of intelligent machines.
Welcome to the world of artificial intelligence, where the future is now! "AI Adventures: A 5th Grader's Guide to Mastering ChatGPT & Beyond" is the perfect companion for curious minds eager to harness the power of AI and transform their learning experience.In this easy-to-follow guide, young learners will explore the fascinating world of AI, discover how to use ChatGPT effectively, and unlock the potential of AI-powered tools tailored just for them. With engaging examples, exciting activities, and a wealth of kid-friendly resources, this book aims to inspire the next generation of AI enthusiasts.Inside, you'll find:An introduction to AI and ChatGPTTips and tricks for crafting effective promptsA collection of creative prompts to spark your imaginationA list of AI tools and websites designed for young learnersA glimpse into the future of AI and the exciting careers it offers100 fun prompts you can useFun Games and Interactive activities and much moreEmbark on an unforgettable journey through the captivating world of AI, where learning is made fun, interactive, and personalized. Join us in "AI Adventures" and take your first steps toward becoming an AI-savvy 5th grader today!
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+
This book constitutes the refereed proceedings of the 15th International Conference on Artificial Intelligence in Education, AIED 2011, held in Auckland, New Zealand in June/July 2011. The 49 revised full papers presented together with three invited talks and extended abstracts of poster presentations, young researchers contributions and interactive systems reports and workshop reports were carefully reviewed and selected from a total of 193 submissions. The papers report on technical advances in and cross-fertilization of approaches and ideas from the many topical areas that make up this highly interdisciplinary field of research and development including artificial intelligence, agent technology, computer science, cognitive and learning sciences, education, educational technology, game design, psychology, philosophy, sociology, anthropology and linguistics.
This book constitutes the refereed proceedings of the 16th International Conference on Artificial Intelligence in Education, AIED 2013, held in Memphis, TN, USA in July 2013. The 55 revised full papers presented together with 73 poster presentations were carefully reviewed and selected from a total of 168 submissions. The papers are arranged in sessions on student modeling and personalization, open-learner modeling, affective computing and engagement, educational data mining, learning together (collaborative learning and social computing), natural language processing, pedagogical agents, metacognition and self-regulated learning, feedback and scaffolding, designed learning activities, educational games and narrative, and outreach and scaling up.
This book constitutes the refereed proceedings of the 17th International Conference on Artificial Intelligence in Education, AIED 2015, held in Madrid, Spain, in June 2015. The 50 revised full papers presented together with 3 keynotes, 79 poster presentations, 13 doctoral consortium papers, 16 workshop abstracts, and 8 interactive event papers were carefully reviewed and selected from numerous submissions. The conference provides opportunities for the cross-fertilization of approaches, techniques and ideas from the many fields that comprise AIED, including computer science, cognitive and learning sciences, education, game design, psychology, sociology, linguistics, as well as many domain-specific areas.
Artificial intelligence is spreading all over the world. It’s changing societies and influencing technologies, too. But did you know that there are different types of AI robots used in numerous industries? You will meet them in this book for fifth graders. There are a lot of interesting information that can be learned by reading. Pick up the habit today!
This book constitutes the refereed proceedings of the 24th International Conference on Artificial Intelligence in Education, AIED 2023, held in Tokyo, Japan, during July 3-7, 2023. This event took place in hybrid mode. The 53 full papers and 26 short papers presented in this book were carefully reviewed and selected from 311 submissions. The papers present result in high-quality research on intelligent systems and the cognitive sciences for the improvement and advancement of education. The conference was hosted by the prestigious International Artificial Intelligence in Education Society, a global association of researchers and academics specializing in the many fields that comprise AIED, including, but not limited to, computer science, learning sciences, and education.
The nature of technology has changed since Artificial Intelligence in Education (AIED) was conceptualised as a research community and Interactive Learning Environments were initially developed. Technology is smaller, more mobile, networked, pervasive and often ubiquitous as well as being provided by the standard desktop PC. This creates the potential for technology supported learning wherever and whenever learners need and want it. However, in order to take advantage of this potential for greater flexibility we need to understand and model learners and the contexts with which they interact in a manner that enables us to design, deploy and evaluate technology to most effectively support learning across multiple locations, subjects and times. The AIED community has much to contribute to this endeavour. This publication contains papers, posters and tutorials from the 2007 Artificial Intelligence in Education conference in Los Angeles, CA, USA.
The field of Artificial Intelligence in Education has continued to broaden and now includes research and researchers from many areas of technology and social science. This study opens opportunities for the cross-fertilization of information and ideas from researchers in the many fields that make up this interdisciplinary research area, including artificial intelligence, other areas of computer science, cognitive science, education, learning sciences, educational technology, psychology, philosophy, sociology, anthropology, linguistics, and the many domain-specific areas for which Artificial Intelligence in Education systems have been designed and built. An explicit goal is to appeal to those researchers who share the perspective that true progress in learning technology requires both deep insight into technology and also deep insight into learners, learning, and the context of learning. The theme reflects this basic duality.