Generative AI in Writing Education

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A01=Dylan Medina
academic integrity
Age Group_Uncategorized
Age Group_Uncategorized
AI
Artificial Intelligence
Author_Dylan Medina
automatic-update
Category1=Non-Fiction
Category=GTC
Category=HBT
Category=JBCT
Category=JFD
Category=NHT
Category=UYQ
Composition
computer-assisted writing
COP=United Kingdom
Delivery_Delivery within 10-20 working days
eq_bestseller
eq_computing
eq_history
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
ethical use of generative AI in classrooms
knowledge transfer
Language_English
machine learning education
PA=Available
Pedagogy
Policy
Price_€50 to €100
PS=Active
rhetorical theory
softlaunch
technical communication
Writing Studies

Product details

  • ISBN 9781032792491
  • Weight: 240g
  • Dimensions: 138 x 216mm
  • Publication Date: 02 Oct 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
  • Language: English
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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.

Dylan Medina is an Acting Assistant Professor in the Department of English at the University of Washington, USA. He is also the Director of Software Engineering at gotLearning.

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