From Consumer to Creator: Analyzing and Producing Machine-Made Stories

This assignment, by Marc Watkins, is from the TextGenEd January 2024 Continuing Experiments collection in the WAC Clearinghouse Repository.

The abstract from the site explains:

This assignment is part of an introduction to an AI literacy module for undergraduate students to think critically about generative text by first reading an interactive essay made with the aid of generative AI, and then asking students to create their own short narrative using generative AI. The goal is for students to reflect on the pragmatic affordances and ethical considerations of reading, and then writing a text mixed with human and machine-created text.

Key Features of This Assignment

Critical Analysis of AI-Generated Content
Students analyze stories generated by AI, developing their ability to assess the strengths and weaknesses of machine-made narratives.
Creative Story Production
Students create their own stories using AI tools, allowing them to explore the creative process from a technological perspective.
Reflective Writing
Students engage in reflective writing about their experience using AI for storytelling, encouraging them to think deeply about the implications and potential of AI in creative fields.