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Author: Daniel Plate Publisher: Taylor & Francis ISBN: 1040255205 Category : Language Arts & Disciplines Languages : en Pages : 82
Book Description
Designed to cater to the needs of both novice and seasoned writing instructors, this book provides a range of practical and adaptable strategies for integrating generative artificial intelligence (AI) into English writing curricula. Generative AI in the English Composition Classroom proposes strategic methodologies to ensure that AI is utilized as a facilitator of learning and creativity, rather than as a shortcut to academic success. With a particular emphasis on sophisticated large language models such as Claude, ChatGPT, and Gemini, this book critically addresses potential challenges, including concerns related to academic integrity. It includes case studies and practical strategies to exemplify how AI can enhance the writing process while emphasizing the continuing importance of a solid foundation in writing structure, processes, and rhetorical strategies. These case studies and strategies are designed for immediate application, offering educators and students practical tools to effectively navigate AI-augmented writing environments. Finally, the book looks to the future, discussing the evolving skillsets required in the workforce and how educators can equip students for a future in which AI is an integral component. A forward-thinking and invaluable guide, this book will be of interest to educators involved in teaching English Composition and writing.
Author: Made Hery Santosa Publisher: Nilacakra ISBN: 6231912507 Category : Computers Languages : en Pages : 66
Book Description
This book, AI-Powered English Learning: 35 Dynamic Techniques, shows the shift in language instruction that AI has brought about. It delves extensively into the role of AI in language acquisition, proposing 35 novel ideas for maximizing AI’s potential in improving English fluency. These techniques can completely revolutionize learners’ language learning experience, making it more engaging, entertaining, personalized, meaningful, and effective than ever before. This book will serve as a teachers’ guidebook for this life-changing adventure. Each of the 35 active approaches inside these pages has been carefully chosen and employed to provide teachers to help learners with the skills, knowledge, and confidence required to master the English language. The book includes step-by-step instructions, practical recommendations, and real-world examples to assist teachers in realizing the full potential of AI-powered English learning.
Author: Nik Peachey Publisher: PeacheyPublications Ltd ISBN: Category : Education Languages : en Pages : 111
Book Description
This book has been designed to act as a practical resource that should help you to get a better understanding of the kinds of AI tools that are available and how to use them in the English language classroom. The book does this through a series of chapters focusing on tools for teachers, tools for students and a collection of background reading. All of the tools and reading texts in this book have tasks to accompany them that will help you orientate yourself to the materials and think more deeply and actively about how they can be used. These tasks have been adapted from the online course version of the book, in which participants can share opinions, reflections and materials with each other. I would encourage you to do the same even if you aren’t part of the course. Keep a journal and make notes as you work through the book and try the tasks. Find another colleague you can talk to about the tasks and the example plans Seek out opportunities to interact with and discuss what you are learning with other teachers and with your students. Use what you are learning to run formal or informal development sessions for other teachers. The book also includes a link to download a free copy of The Digital Toolbox. The Digital Toolbox is regularly updated, and should help to keep you up to date with new developments and apps that are becoming available. I hope you enjoy the book.
Author: Elisabeth Schrott Publisher: GRIN Verlag ISBN: 3346312372 Category : Education Languages : de Pages : 95
Book Description
Masterarbeit aus dem Jahr 2020 im Fachbereich Pädagogik - Schulpädagogik, Note: 2, FernUniversität Hagen (Bildungswissenschaften), Veranstaltung: Bildungswissenschaften, Sprache: Deutsch, Abstract: Künstliche Intelligenz wirkt sich auf alle Bereiche des zukünftigen Lebens aus, so auch auf die Schule. Welche Chancen und Herausforderungen diese neue Technologie bietet, wird in dieser Masterthese erarbeitet. Die Digitalisierung in Verbindung mit künstlicher Intelligenz erweitern das Repertoire des Handlungsfeldes Schule für alle Ebenen der Akteure*Akteurinnen. Es folgen Anwendungsbeispiele, die aktuell bereits in der (Hoch-)Schule zum Einsatz kommen und das Ziel haben, den Unterricht, die Vorbereitung oder das Lernen zu erleichtern und zu individualisieren. Sie werden in vordefinierten Kategorien verglichen. Als eindeutiger Zusammenhang zwischen allen Anwendungen kann die Individualisierung für Schüler*innen hervorgehoben werden. Die kategorische Übersicht und die damit verbundenen Gründe für den Einsatz im Unterricht, kann als Leitfaden für den Einsatz von KI im Unterricht gesehen werden. Vorab erfolgt eine literarische Auseinandersetzung mit der Geschichte von künstlicher Intelligenz, eine Übersicht über Chancen, Risiken, Schwächen und ethische Bedenken sowie eine Zusammenschau der politischen Strategien in Bezug auf KI in Deutschland, Österreich und der EU.
Author: Prashant Kikani Publisher: BPB Publications ISBN: 9389898706 Category : Computers Languages : en Pages : 170
Book Description
Learn AI & Machine Learning from the first principles. KEY FEATURESÊÊ _ Explore how different industries are using AI and ML for diverse use-cases. _ Learn core concepts of Data Science, Machine Learning, Deep Learning and NLP in an easy and intuitive manner. _ Cutting-edge coverage on use of ML for business products and services. _ Explore how different companies are monetizing AI and ML technologies. _ Learn how you can start your own journey in the AI field from scratch. DESCRIPTION AI and machine learning (ML) are probably the most fascinating technologies of the 21st century. AI is literally in every industry now. From medical to climate change, education to sport, finance to entertainment, AI is disrupting every industry as we know. So, the basic knowledge of AI/ML becomes mandatory for everyone. This book is your first step to start the journey in this field. Along with basic concepts of fields, like machine learning, deep learning and NLP, we will also explore how big companies are using these technologies to deliver greater user experience and earning millions of dollars in profit. Also, we will see how the owners of small- or medium-sized businesses can leverage and integrate these technologies with their products and services. Leveraging AI and ML can become that competitive moat which can differentiate the product from others. In this book, you will learn the root concepts of AI/ML and how these inanimate machines can actually become smarter than the humans at a few tasks, and how companies are using AI and how you can leverage AI to earn profits. WHAT YOU WILL LEARN Ê _ Core concepts of data science, machine learning, deep learning and NLP in simple and intuitive words. _ How you can leverage and integrate AI technologies in your business to differentiate your product in the market. _ The limitations of traditional non-tech businesses and how AI can bridge those gaps to increase revenues and decrease costs. _ How AI can help companies in launching new products, improving existing ones and automating mundane processes. _ Explore how big tech companies are using AI to automate different tasks and providing unique product experiences to their users. WHO THIS BOOK IS FORÊÊ This book is for anyone who is curious about this fascinating technology and how it really works at its core. It is also beneficial to those who want to start their career in AI/ ML. TABLE OF CONTENTSÊ 1. Introduction 2. Going deeper in ML concepts 3. Business perspective of AI 4. How to get started and pitfalls to avoid