Introductory Activity for Generative AI
Students engage in crafting and refining prompts to elicit specific responses from LLMs, enhancing their understanding of precise and effective communication.
Large Language Model (LLM)
Writing for Career Readiness: Engaging ChatGPT to Develop Resume Bullet Points
Students learn how to tailor their resume bullet points to specific job descriptions and then participate in a peer review process with class members.
AI Literacy: Real-World Cautionary Tales
Students analyze real-world case studies that illustrate the potential pitfalls and ethical considerations of AI applications, enhancing their understanding of AI’s impact on society.
AI Literacy Workshop: Overview and Criticial Examination
The assignment provides a thorough introduction to AI concepts, covering the history, development, and current applications of AI technology.
Hidden Layer: Intellectual Privacy and Generative AI
Students are provided with a comprehensive overview of artificial intelligence, covering its history, current applications, and future implications, which equips them with a broad understanding of the field.
Writing: Improve Transitions
ChatGPT helps create interactive games that teach students how to use transitions effectively, transforming learning from a traditional mode into a fun, game-based activity.
Analyze: Convert to Conversational Language
Students use ChatGPT to convert complex academic texts into conversational language, making challenging concepts more accessible and understandable. By practicing with ChatGPT, students enhance their ability to explain research and projects to non-experts.
Revising LLM Text to (Re)Discover Rhetoric
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.
Artificial Intelligence and Mathematics Teaching
This policy, from the National Council of Teachers of Mathematics, highlights the role of AI in enhancing personalized learning, emphasizing the need for teachers to integrate AI ethically while maintaining their pedagogical and relational expertise.
MLA-CCCC Joint Task Force on Writing and AI Working Paper
This policy, from The Modern Language Association (MLA)-Conference on College Composition and Communication (CCCC) Joint Task Force on Writing and AI, provides a comprehensive overview of the implications of AI in writing and literature education.
Writing Against the Machine: Debating with ChatGPT
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.
Using LLMs as Peer Reviewers for Revising Essays
Students utilize Large Language Models (LLMs) such as ChatGPT to assist in the peer review process by generating responses to common peer review prompts.
Synthetic Metacognition: Iterating Prompts with GPTs
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.
Repetition
This assignment serves as a beginner-level programming exercise that introduces students to the concept of iteration using for loops. By writing code that repeats a word or phrase 50,000 times, students gain a fundamental understanding of how loops work in programming.
Teaching Social Identity and Cultural Bias Using AI Text Generation
Students reflect on their personal histories and preferences by participating in an interactive survey. These responses are then analyzed using text generation models to explore how AI interprets and predicts social identities, highlighting the biases and assumptions inherent in AI technology.
The Term Paper Turing Test
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.
Spellcraft & Translation: Conjuring with AI
Students create “spells,” or poems based on a wish, and then use a large language model (LLM) to generate a corresponding AI-created spell.
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.
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.
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.
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.