This page is under development Aug. 18 to 23. Check back during the fall semester for more information!
Overview and Introduction
Tasks that GenAI and
Misconceptions
Terms that might be unfamiliar:
- Output
Using AI Effectively (and Mindfully)
Table: AI Strengths and Weaknesses
| Strengths | Weaknesses |
Large Language Models
Generative AI: Effective Prompting Strategies for GenAI
- Get used to pausing and thinking before turning to AI. Consider: what information do I want to know? Is this the most helpful way to gather this information?
- Is your first gut reaction to type into ChatGPT or Le
- but here is a concise one from UNC that is similar (and, I misremembered! The acronym is CLEAR, which was introduced by Leo Lo in this article)
- And even more options for prompt engineering acronyms (CLEAR is probably most helpful and widely known, though!)
- “Glossary of AI Terms for Educators” (Center for Integrative Research)
Assessing Outputs
Using GenAI in Instruction and Research
Tips for everyone:
- To remove an AI output from a GenAI (like Gemini when doing a Google search), include the phrase -ai at the end of your search. For example, you can use Google to search “1993 Day Hall Takeover Cornell -ai” and you will not receive a generative AI response from Gemini.
Tips for instructors:
- Outputs from GenAI prompts are inconsistent. Screen capture, take screenshots, or copy the results you receive while preparing for your instruction sessions. This allows you to avoid having to do so during the session, and reduces the amount of energy consumption for your activity.
Image Analysis
- Distant Viewing Explorer: “an open-access platform that lets you experiment with different computational approaches for image analysis. It’s designed to help researchers and learners understand what various AI models can reveal about images, videos, and visual culture more broadly.” Released in 2025.
Further Learning
- LLMs and GenAI in Digital Scholarship (Guide developed by staff at the Freedman Center, Case Western Reserve University)
- The AI for Humanists Project
- “Python for All: Democratizing Coding Mastery with AI Chatbot Support,” created by Kristen Scott and Lencia Beltran
- Generative AI Tools for Academic Research (New York University)
- Generative AI and LLMs (New York University)
- Helpful glossary of terms for using LLMs (New York University)