Generate: Role Play
Students create personas and engage in role-playing interviews with ChatGPT, simulating real-world scenarios and making the learning experience more interactive and engaging.
Teaching Writing Across the Curriculum with AI
Writing Across the Curriculum Assignments, Classroom Activities, and Educational Resources for Higher Education
Students create personas and engage in role-playing interviews with ChatGPT, simulating real-world scenarios and making the learning experience more interactive and engaging.
Students use ChatGPT to create an outline and then build their first draft, ensuring they have a clear structure with an introduction, body, and conclusion.
Students use ChatGPT to simulate debates, helping them understand and develop counterarguments, which enhances their critical thinking and argumentation skills.
ChatGPT helps students organize their ideas into a coherent outline, providing a solid framework for their writing and ensuring all key points are logically ordered.
This assignment encourages students to revise AI-generated text to make it more rhetorical, focusing on purpose, audience, and persuasion, thus enhancing their understanding and application of rhetorical principles.
This activity provides a thorough introduction to deepfakes, including definitions, how they work, and their impact on society, making it accessible even for those with no background knowledge. Students then engage in hands-on activities such as detecting deepfakes and creating their own, supplemented by videos and discussions to reinforce learning.
Students use ChatGPT to engage actively with poetry, facilitating a deeper understanding of figurative language and interpretation.
Students develop critical evaluation skills by assessing AI outputs for biases, assumptions, and stereotypes.
Students craft a detailed rebuttal to the AI-generated argument, focusing on different aspects such as the scope, conclusions, and missing evidence.
The assignment teaches students to specify the desired length of ChatGPT responses, enabling them to receive information in various formats, from concise summaries to detailed essays, depending on their needs.
Students use ChatGPT to generate counterclaims or alternative arguments to their initial thesis. This process helps them refine, extend, and evolve their argumentative skills by considering multiple perspectives.
Students engage in prompt engineering by iteratively refining and tweaking the set of instructions given to a Large Language Model (LLM). Through a collaborative workshop format, students work in groups to analyze the AI’s output, discuss its strengths and weaknesses, and propose improvements.
Students engage in sustained conversations with AI chatbots like ChatGPT, analyzing the bots’ writing and thinking patterns. The assignment prompts students to consider the ethical implications of using AI chatbots, including issues related to plagiarism, authorship, and the potential displacement of human labor.
The assignment introduces an “AI Standards of Conduct” framework that differentiates between AI-assisted and AI-generated writing. The assignment encourages students to reflect on the ethical implications of using AI in writing.
Students explore and reflect on algorithmic accountability through a speculative scenario where an AI called Professor Bot grades entrance essays.
Students use accessible language models to generate parts of their term papers. This hands-on experiment helps students explore the capabilities and limitations of AI in writing, as well as the ethical dimensions of using such tools.
By comparing AI-generated outputs with their own work and reflecting on these comparisons, students develop enhanced metacognitive skills, which are crucial for their personal and professional growth.
Students generate text using both analog cut-up techniques and a simple Markov procedure. This exercise introduces them to found art, encouraging them to critically examine issues of property and power in the context of generative text and its sources.
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.
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 assignment engages students in the practice of procedural creativity by encouraging them to play with, hack, or build text generators.
Students compare AI-generated responses to human-written responses, examining differences in style, clarity, and effectiveness.
Students generate a paper focused on a highly specific and recent text technology and reflect on how LLMs influence the writing process and their own writing practices.