Analyze: Qualitative Analysis

Students utilize ChatGPT to identify repetitions, themes, and categories in texts, leveraging its ability to recognize synonyms and related concepts, even with varied diction.

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.

GenAI Chatbot Scenarios in Higher Education

The assignment explores the ethical implications of various AI chatbot scenarios. The activity is designed to be conducted in groups, promoting collaborative learning and diverse viewpoints in discussing the ethical considerations of AI technologies.

AI & Deepfakes

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.

Analyze: Critique and Interpret

The assignment helps students develop their interpretation skills by engaging with ChatGPT to analyze the structure, themes, and arguments of a text, allowing them to gain a deeper understanding of various texts.

Analyze: Find the Needle in the Haystack

Students develop their ability to craft precise queries for AI tools, learning how to effectively ask for specific pieces of information and improve their research efficiency in handling extensive texts.

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.

Evaluate: Bias

Students develop critical evaluation skills by assessing AI outputs for biases, assumptions, and stereotypes.

Evaluate: Write a Rebuttal

Students craft a detailed rebuttal to the AI-generated argument, focusing on different aspects such as the scope, conclusions, and missing evidence.

Evaluate: Logical Fallacies

Students create arguments using ChatGPT and identify any logical fallacies present in the generated content. Students provide a detailed explanation of how the identified logical fallacies occurred and suggest ways to prevent them.

Evaluate: ChatGPT’s Predictions and Extrapolations

Students generate predictions using ChatGPT and critically assess the output. The assignment emphasizes an analytical approach to evaluating hypothetical scenarios generated by ChatGPT. Students must go beyond simple fact-checking and use reasoned analysis to diagnose the plausibility of the predictions.

Evaluate: Soundness of the Argument

Students analyze how facts are assembled into an argument, focusing on the validity of the connective logic. They are encouraged to look beyond the individual facts and assess whether the conclusions drawn are logically supported by the premises.

Evaluate: Hallucinated Sources

Students verify the existence of quoted sources provided by ChatGPT, using the institution’s library website. This activity ensures that students learn to critically assess AI-generated content and confirm its authenticity.

Evaluate: Correctness

The assignment examines the inherent weaknesses of large language models (LLMs) like ChatGPT, emphasizing the importance of not relying on them unquestioningly. It highlights how these models mimic speech without true understanding and can produce convincingly false information.

Search: Seminal Scholars, Studies, and Other Materials

The assignment teaches students to use ChatGPT to identify significant scholars, studies, and materials within a given field, providing a foundational understanding of important contributors and key texts in the subject area.

Search: Explanations for Wrong Answers

By using ChatGPT to identify and correct misconceptions, students can clarify their understanding of complex topics, ensuring that incorrect knowledge does not impede future learning and comprehension.

Search: Narrowing Search Results

The assignment teaches students to use quotation marks and Boolean operators (AND, OR, NOT) to narrow down search results effectively, ensuring they receive precise information tailored to their specific needs.

Prompt Engineering Series

This series of activities works through strategies for prompt engineering, from basic choices to more sophisticated strategies. Use the activities one-by-one with students or point students to a specific strategy when they need to improve their prompt writing.

Prompt Engineering: New Chat

By requiring students to start a new chat for unrelated questions, the assignment demonstrates the value of resetting the chat history to obtain unbiased and “pure” responses, teaching them to manage context effectively in AI interactions.