Where Worlds Entwine: The Generative AI Poetry Exercise
Students experiment with AI-generated poetry, refining prompts and analyzing output, gaining a deeper understanding of poetic structures.
Teaching Writing Across the Curriculum with AI
Writing Across the Curriculum Assignments, Classroom Activities, and Educational Resources for Higher Education
Students experiment with AI-generated poetry, refining prompts and analyzing output, gaining a deeper understanding of poetic structures.
Students explores how AI tools can enhance creative and academic writing by integrating text and visual elements. The article examines ways AI-generated images and text can work together, encouraging students to experiment with multimodal composition and develop a deeper understanding of the relationship between words and visuals.
Students first analyze stories generated by AI, developing their ability to assess the strengths and weaknesses of machine-made narratives. Next, they create their own stories using AI, allowing them to explore the creative process from a technological perspective.
Students engage in creative writing exercises where they collaborate with AI text generation tools to produce narratives. Students analyze the structure and coherence of AI-generated narratives, comparing them to human-written stories to identify strengths and weaknesses.
The activities in this article emphasizes the importance of critical media literacy, encouraging students to critically analyze and evaluate the use of generative AI in various media contexts.
This assignment leverages the power of storytelling to activate sensory, emotional, and cognitive regions of the brain, making content more relevant, memorable, and transferable. By asking students to create characters, build backstory and conflict, and engage in scenes that require understanding of concepts or theories, this assignment enhances learning across various subjects, including biomedical sciences and health professions.
This assignment helps students grasp core aspects of narrative theory by requiring them to generate multiple variations of an underlying story. Students use Curveship-js, a JavaScript framework, to implement their narrative variations.
Students engage in hands-on activities where they create prompts, analyze the outputs generated by LLMs, and reflect on the outcomes.
This assignment engages students in the practice of procedural creativity by encouraging them to play with, hack, or build text generators.