Cyborg Texts: A Procedural Creativity Assignment
This assignment engages students in the practice of procedural creativity by encouraging them to play with, hack, or build text generators.
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Critical Assessment and Analysis Exercise
Students compare AI-generated responses to human-written responses, examining differences in style, clarity, and effectiveness.
Learning about Text Technology through the LLM Generation of Papers
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.
Rhetorical Analysis of Predictive LLMs
Students are tasked with training a large language model (LLM) using a small set of sample tweets to generate content in the style of specific Twitter accounts. After generating tweets, students conduct a rhetorical analysis of the generated content.
Transforming Writing Assignments with AI: Approaches for Using Artificial Intelligence for Fostering Student Engagement and Comprehension
Students use AI tools to better comprehend and analyze complex texts, asking AI questions about the texts to deepen their understanding and engagement. Students use AI as a collaborative tool to enhance their own writing process while ensuring their original contribution remains substantial.
Neuroqueering AI: The Text Generator as Emergent Collaborator
Students choose a dataset to train their language model and analyze the generated output to identify patterns and new meanings. They write a reflective essay to critically consider the affordances, challenges, and generative potential of large language models (LLMs).
Understanding Markov Chains
Students manually apply an algorithm to generate a Markov Chain from a given text extract, providing a concrete and interactive way to understand probabilistic language generation.
Testing ChatGPT Response Variety to Introduce Natural Language Processing
Students analyze how the AI processes and generates text, providing a practical understanding of natural language processing (NLP) concepts. They critically evaluate the AI-generated responses and reflect on the potential applications and limitations of using AI in technical communication.
Made Not Only By Me: Coauthoring a Children’s Book with Text and Image Generation
Students collaborate in small groups to produce a creative work and then write a reflective piece about their contribution to the project and the group dynamics.
The Grand Exhibition of Prompts
Utilizing a threaded discussion platform, students experiment with AI image-making programs, focusing on the verbal prompts they create. Students are evaluated not only on the quality of their prompts but also on their support and encouragement of other writers.
AI for Editing
Students use AI-based applications to assist in proofreading and improving their written work, fostering familiarity with modern technological aids in professional writing.
Professional Writing for Healthcare
Students select and read medical journal articles, draft summaries, and revise them, allowing for progressive skill development. The assignment incorporates the use of AI writing systems throughout the process.
Translating a Policy Document into Plain English
Students translate a complex policy document into plain English, enhancing their ability to simplify and clarify technical content for broader audiences.
Text Generators in Technical Communication: Summarizing Technical Documents
Students research various text analysis and summarization tools, allowing them to critically evaluate the effectiveness and accuracy of these technologies in summarizing technical documents.
Analysis of Iterations of Responses to Human Prompts: ChatGPT and Automated Writing
Students generate prompts, collect consecutive responses from ChatGPT, and analyze these iteration. By summarizing, synthesizing, and editing AI responses, and conducting library research, students examine the ethical implications of AI in writing.
The Paranoid Memorandum: A Generative AI Exercise for Professional Communication
By simulating real-world scenarios and varying the degree of AI usage, students experience firsthand the challenges and nuances of integrating AI into workplace communication.