Session 1

Teaching Prompt-Based Writing

Objective: Train students to use AI as a co-writer for ideation and drafting.
Key Points:

• How to craft effective prompts for dialogue, character, plot, and style.

• Exploring different tones and genres (sci-fi, realism, poetry, satire).

• Moving from AI-generated “first drafts” to student-led rewrites.

• Prompt chaining: guiding longer narratives across multiple interactions.

Classroom Exercise: Students provide the same story prompt to different models (ChatGPT, Claude, Gemini) and compare results.
Takeaway: Students learn narrative control and refinement rather than passive consumption of AI outputs.

Session 2

Poetry & Literary Experimentation

Objective: Encourage creative risk-taking by using AI for avant-garde and poetic exploration.
Key Points:

• AI as a collaborator in experimental writing (constraint-based poetry, remixing classics).

• Generating text based on non-linguistic prompts (images, music, emotion tags).

• Teaching students to push boundaries of language with AI tools.

Demo: Live generation of a poem from an image or piece of music.
Potential Guests: Contemporary poets using AI (e.g., Sasha Stiles, K Allado-McDowell).
Takeaway: Students see AI as a medium for innovation rather than just a utility.

Session 3

AI as a Critique Partner

Objective: Show how AI can support, but not replace, peer and faculty feedback.
Key Points:

• Using AI to provide instant suggestions on grammar, pacing, or tone.

• Calibrating AI feedback vs. human critique (strengths and blind spots).

• Teaching students to question and refine, not accept, AI feedback.

• Using AI for multilingual feedback in global classrooms.

Exercise: Students submit a short story and compare AI vs. peer critique.
Takeaway: Students gain skills in critical evaluation of feedback sources.

Session 4

Ethics of AI Ghostwriting & Authorship

Objective: Equip educators to guide conversations about originality and transparency.
Key Points:

• Ethical dilemmas of publishing AI-assisted work without disclosure.

• Teaching students how to cite or acknowledge AI contributions.

• Classroom policy frameworks: when AI is acceptable, when it undermines learning.

• Case studies of AI ghostwritten books and controversies.

Panel Idea: Authors, publishers, and ethicists debating disclosure standards.
Takeaway: Students develop responsible authorship practices for the AI age.