Generative AI in Writing Education provides technically sound guidance on how various stakeholders should engage with generative AI and outlines how generative AI can be both a help and hindrance for students, enabling readers to craft informed and meaningful policy and successfully integrate AI in the composition classroom.
Generative AI in Writing Education provides technically sound guidance on how various stakeholders should engage with generative AI and outlines how generative AI can be both a help and hindrance for students, enabling readers to craft informed and meaningful policy and successfully integrate AI in the composition classroom.
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.
Inhaltsangabe
Introduction Acknowledgments 1. How I Learned to Stop Worrying and Love AI 2. A Background in Computing 3. Computers and Language 4. Writing Theory for Generative AI 5. Risks and Opportunities in Pedagogy and Research Conclusion References Index
Introduction Acknowledgments 1. How I Learned to Stop Worrying and Love AI 2. A Background in Computing 3. Computers and Language 4. Writing Theory for Generative AI 5. Risks and Opportunities in Pedagogy and Research Conclusion References Index
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