The Writing Process in the Age of AI
AI can generate words. Students create meaning. A process study unit where students explore how AI is changing writing, and how writers can adapt responsibly.
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- The Writing Process in the Age of AI
Age:
Approximate Total Time:
4–5 class periods (45–60 minutes each)
Summary
In this unit, students explore how generative AI can support the writing process while maintaining human authorship, voice, and critical thinking. Rather than treating AI as a replacement for writing, students learn to use Large Language Models (LLMs) as brainstorming and drafting partners while recognizing that the most important decisions in writing still belong to the writer.
Across five lessons, students investigate how LLMs generate text through pattern recognition and prediction, evaluate AI-generated ideas, revise and strengthen AI-assisted writing, document their use of AI, and reflect on when AI enhances learning versus when it may reduce productive cognitive effort. Throughout the unit, students practice making intentional decisions about which ideas to keep, revise, or reject, reinforcing that strong writing depends on human judgment rather than AI-generated output.
Lessons
Lesson 1: Demystifying the Machine:
Students investigate how Large Language Models generate text through pattern recognition and prediction, building a foundation for understanding how AI writing tools work.
Lesson 2: From Ideas to Arguments:
Students use generative AI to generate, evaluate, and refine ideas for a persuasive essay while maintaining ownership of their argument and voice.
Lesson 3: From Prompt to Persuasion:
Students use AI to produce an initial essay draft and practice critically revising, improving, and personalizing the writing through evidence, voice, and reflection.
Lesson 4: Name the Process:
Students document how they used AI throughout the writing process and reflect on the decisions they made to maintain authorship and academic integrity.
Lesson 5: Deciding When to Use AI
Students examine research on cognitive effort and cognitive debt, reflect on their own experiences writing with AI, and develop a framework for deciding when AI supports learning—and when independent thinking is essential.