This assignment, by Dana LeTriece Calhoun, is from the TextGenEd collection in the WAC Clearinghouse Repository.
The abstract from the site explains:
This assignment invites undergraduate students to create “spells,” a poem based on a wish, and prompt an LLM to write a spell of its own, then reflect on their input and LLM output compared to their original compositions. Students analyzed the function of language and intent in manual and LLM composition, drawing together meaning and expression, and how LLM technology replicates or revises that expression. This assignment can be adapted to most rhetoric, composition, and cultural studies courses.
Key Features of This Assignment
- Creative Exploration
- Students create “spells,” or poems based on a wish, and then use a large language model (LLM) to generate a corresponding AI-created spell. This project encourages creative thinking and exploration of language.
- Comparison and Reflection
- The assignment involves comparing the students’ manually created spells with the AI-generated ones. Students reflect on the differences and similarities in language use and intent, fostering a deeper understanding of both human and AI composition.
- Adaptability
- This exercise can be tailored to various courses in rhetoric, composition, and cultural studies. It highlights how AI technology can be integrated into diverse educational contexts to enhance learning about language and creativity.
Find the full version of this assignment at the WAC Clearinghouse.