Generative AI in Writing Education


Book Description

This book provides a theoretical framework to allow educators, researchers, and policymakers to better understand computer‐generated writing and the policy and pedagogical implications of generative AI. Generative AI, such as ChatGPT and Gemini, has substantially disrupted educational spaces, forcing educators, policymakers, and other stakeholders to reconsider writing and how it should be used in education. Responding to this disruption, this book provides technically sound guidance on how various stakeholders should engage with generative AI. After providing a foundational and technical discussion of the technology, this book directly addresses the educational context. Informed by theories of learning and knowledge transfer and utilizing rhetorical theories of writing, this book assesses the impact of AI on student learning, student performance, and academic honesty and integrity. In doing so, the book outlines how generative AI can be both a help and a hindrance for students, enabling readers to craft informed and meaningful policies and successfully integrate AI in the composition classroom. This book will be of interest to scholars in the fields of Rhetoric and Composition, Technical Writing, Communication Studies, Linguistics, and TESOL, as well as to Education and Machine Learning policymakers, program directors, and researchers.




Generative AI in Teaching and Learning


Book Description

Generative AI in Teaching and Learning delves into the revolutionary field of generative artificial intelligence and its impact on education. This comprehensive guide explores the multifaceted applications of generative AI in both formal and informal learning environments, shedding light on the ethical considerations and immense opportunities that arise from its implementation. From the early approaches of utilizing generative AI in teaching to its integration into various facets of learning, this book offers a profound analysis of its potential. Teachers, researchers, instructional designers, developers, data analysts, programmers, and learners alike will find valuable insights into harnessing the power of generative AI for educational purposes.




Generative AI in the English Composition Classroom


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.




Using Generative AI Effectively in Higher Education


Book Description

Using Generative AI Effectively in Higher Education explores how higher education providers can realise their role and responsibility in harnessing the power of generative artificial intelligence (GenAI) ethically and sustainably. This rich collection of established and evaluated practices from across global higher education offers a practical guide to leading an agile institutional response to emerging technologies, building critical digital literacy across an entire institution, and embedding the ethical and sustainable use of GenAI in teaching, learning, and assessment. Including reflections from stakeholders testifying to the value of the approaches outlined, the book examines how higher education can equip staff and students with the critical-digital literacy necessary to use GenAI in work, study, and social life responsibly and with integrity. It provides an evidence-based resource for any kind of higher education (HE) provider (modern, college-based, and research-focused) looking for inspiration and approaches which can build GenAI capability and includes chapters on the development of cross-institutional strategy, policies and processes, pedagogic practices, and critical-digital literacy. This resource will be invaluable to educational leaders, educational developers, learning developers, learning technologists, course administrators, quality assurance staff, and HE teachers wishing to embrace and adapt to a GenAI-enabled world.




Talking about Generative AI: A Guide for Educators


Book Description

A practical new resource, available freely to educators and administrators. Instructors and college administrators are grappling with many difficult questions arising from the emergence and public availability of generative AI (GenAI) tools such as ChatGPT: What impact will AI have on post-secondary institutions? Can AI be integrated into higher education in productive and ethical ways? How will teaching and assessment change? What are the implications of AI for professional, institutional, and civic communication? This free resources provides administrators and faculty with fundamental information about GenAI and its bearing on instruction and institutional policies. Eminently practical and informed by the latest (and forthcoming) technical developments, Talking about Generative AI will be a boon to anyone who is suddenly confronted with the problem of how to understand and address GenAI’s impacts.




Generative AI in Education: Shaping the Learning Horizon


Book Description

This book explores the exciting potential of generative AI to transform education. It argues that AI can personalize learning, create engaging experiences, and make education more accessible for all students. Here are the key takeaways: Generative AI for Personalized Learning: AI can analyze student data and learning styles to create customized learning paths, suggest relevant resources, and provide targeted feedback. This ensures students are challenged appropriately and can progress at their own pace. Engaging Learning Experiences: Generative AI can power interactive simulations, immersive virtual reality environments, and gamified learning experiences. These engaging formats capture student attention, make learning more enjoyable, and reinforce understanding. AI-powered Support for Educators: AI can automate tasks like grading and record-keeping, freeing up educators' time for more strategic activities like lesson planning and providing personalized support to students. Ethical Considerations: The book emphasizes the importance of using AI responsibly. Educators need to be aware of potential biases in AI models and ensure student data privacy is protected. The Human Touch Remains Crucial: AI cannot replace the irreplaceable role of educators. Educators bring empathy, critical thinking skills, and the ability to build relationships with students, all crucial for a well-rounded education. The Future is a Human-AI Partnership: The book envisions a future where educators leverage AI tools to create personalized and engaging learning experiences, while still fostering social-emotional development and critical thinking skills in students. This future holds immense promise for creating a more equitable and effective education system for all learners.




Generative Deep Learning


Book Description

Generative modeling is one of the hottest topics in AI. It’s now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models. Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you’ll understand how to make your models learn more efficiently and become more creative. Discover how variational autoencoders can change facial expressions in photos Build practical GAN examples from scratch, including CycleGAN for style transfer and MuseGAN for music generation Create recurrent generative models for text generation and learn how to improve the models using attention Understand how generative models can help agents to accomplish tasks within a reinforcement learning setting Explore the architecture of the Transformer (BERT, GPT-2) and image generation models such as ProGAN and StyleGAN




AI and education


Book Description

Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed]




Practical AI Strategies


Book Description

Divided into six parts, Practical AI Strategies guides readers through the construction and ethics of generative AI technologies, navigates policy landscapes and provides practical strategies for using these technologies in education




Mindful Teaching with Technology


Book Description

Technology is integral to teaching in the English language arts, whether in-person, hybrid, or remote. In this indispensable guide, Troy Hicks shows how to teach and model "digital diligence"--an alert, intentional stance that helps both teachers and students use technology productively, ethically, and responsibly. Resources and lesson ideas are presented to build adolescents' skills for protecting online privacy, minimizing digital distraction, breaking through “filter bubbles,” fostering civil conversations, evaluating information on the internet, creating meaningful digital writing, and deeply engaging with multimedia texts. Dozens of websites, apps, and other tools are reviewed, with links provided at the companion website; end-of-chapter teaching points and guiding questions facilitate learning and application.