Faculty microlearning series on AI literacy, where we will explore topics related to generative AI in teaching and learning throughout the semester. Presented by Advancements in Teaching Excellence, the Office of Digital Learning, the Faculty Senate Liaison for Academic Standards, University Libraries, and Writing and Speaking in the Disciplines. 

AI Basics

• February 12, 2025, 12:30-1:00 pm
• Presenter: Ed Huffman, Office of Digital Learning
• Learn about basic concepts and terms related to AI and generative AI tools. 

Building AI Literacy by Guiding Student Use

• February 19, 2025, 12:30-1:00 pm
• Presenter: Wenzhen Li, Advancements in Teaching Excellence 
• AI literacy is an essential skill students will need in the future regardless of whether and how you want to integrate it in your teaching. In this session, we will introduce a framework for guiding and monitoring student use of generative AI. We will share some strategies on and examples of how to encourage students to learn with AI.

AI-Resistant Assignment Design

• February 26, 2025, 12:30-1:00 pm
• Presenters: Elisabeth Miller, Writing and Speaking in the Disciplines, and Lyndsay Munro, Liaison for Academic Standards
• While AI tools have growing utility for writing and problem solving, how can we ensure students’ learning? This session offers ideas for keeping learning goals central to assessment and assignment design (rather than AI doing work for students).

How Does AI Affect Academic Integrity?

• March 5, 2025, 12:30-1:00 pm
• Presenter Lyndsay Munro, Liaison for Academic Standards
• Common course design practices that lead to academic dishonesty, the role transparency and motivation play in promoting academic integrity, and understanding the University's academic standards policy in the context of generative AI.

Citing Generative AI 

• March 12, 2025, 12:30-1:00 pm
• Presenter: Rosalind Bucy, University Libraries
• The practice of appropriate attribution in academic writing is evolving as generative AI tools are adopted. We’ll discuss current norms and guidelines for citation.

Critical Evaluation of AI-Generated Content

• March 19, 2025, 12:30-1:00 pm
• Presenter: Elena Azadbakht & Rosalind Bucy, University Libraries
• Existing practices of evaluating sources fall short in the face of generative AI. We’ll discuss critical evaluation strategies to combat hallucination and misinformation.

The Art of Prompting

• April 2, 2025, 12:30-1:00 pm
• Presenter: Ed Huffman, Office of Digital Learning
• Learn best practices and strategies for writing prompts for generative AI. Different approaches for prompting will be discussed with examples provided. 

AI & Copyright 

• April 9, 2025, 12:30-1:00 pm
• Presenter: Teresa Schultz, University Libraries
• Generative AI relies on large sets of training data, much of it scraped from the internet. Questions about intellectual property and generative AI—Who owns the outputs of generative AI? Is the use of unlicensed training data legal?--are currently working their way through the courts. We’ll talk about the current status of copyright and AI and unresolved questions.

AI & Search Tools

• April 16, 2025, 12:30-1:00 pm
• Presenter: Elena Azadbakht & Teresa Schultz, University Libraries
• Emerging AI-powered tools like Elicit and Semantic Scholar are designed to help scholars find and synthesize literature in their fields, or help them visualize connections between papers. This microlearning session will introduce participants to different types of AI research assistants and discuss these tools’ capabilities and limitations.

Crafting an AI Syllabus Statement 

• April 23, 2025, 12:30-1:00 pm
• Presenter: Sarah Cummings, Advancements in Teaching Excellence
• It’s important to communicate expectations around the use (or not) of AI tools in your course. Starting with your course learning goals, we will discuss strategies for crafting clear and transparent guidelines and fostering ethical engagement with AI.