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Generative AI in Writing Education: Policy and Pedagogical Implications book cover

1st Edition

Generative AI in Writing Education Policy and Pedagogical Implications

By Dylan Medina Copyright 2025
108 Pages 5 B/W Illustrations
by Routledge

108 Pages 5 B/W Illustrations
by Routledge

108 Pages 5 B/W Illustrations
by Routledge
Also available as eBook on:
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... Read more

Table of Contents

1. How I Learned to Stop Worrying and Love AI

1.1.  Initial Reactions

1.2.  MLA-CCCC’s Joint Task Force on Generative AI

 

2. A Background in Computing

2.1.  How to Think like a Computer

2.2.  Computational Thinking

2.3.  Artificial Intelligence

 

3. Computers and Language

3.1.  Rules-Based Approaches

3.2.  Encoding Language

3.3.  Word Embeddings

3.4.  Word2Vec & GloVe

3.5.  Transformers

3.6.  Generative AI

 

4. Writing Theory for Generative AI

4.1.  Writing Studies and Generative AI

4.2.  Encoded Genre Knowledge

4.3.  Generative AI in the Network

 

5. Risks and Opportunities in Pedagogy and Research

5.1.  Intellectual Property

5.2.  Generative AI’s Threat to Translingualism

5.3.  Class is In Session

5.4.  Research Implications

  

Conclusion

References

Index

Biography

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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