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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.
Info autore
Daniel Plate is Professor of English at Lindenwood University, USA.
Elizabeth Melick is Assistant Professor of English at Lindenwood University, USA.
James Hutson is Professor of Art History and Visual Culture at Lindenwood University, USA.
Susan Edele is Associate Professor of English at Lindenwood University, USA.
Riassunto
Generative AI in the English Composition Classroom 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. This book will be of interest to educators involved in teaching English composition and writing.
