Teaching and Learning with AI Conference

This 10-minute presentation introduces a classroom assignment in which students design a multi-step creative AI prompt, run it across two different large language models, and iteratively revise the resulting outputs. By comparing how different systems respond to the same prompt, students learn to identify predictability, bias, and constraint in AI-generated writing. Guided iteration, remixing, and reflective self-assessment emphasize human agency, ethical judgment, and responsible use over efficiency or polish. The assignment offers a practical, adaptable framework for teaching critical engagement with generative AI through creative writing practice. (#writingpedagogy #responsibleAI #creativewriting)