Study the question.
Learn from practice.

AI literacy in the workforce.

My research examines how people understand AI, what support they receive, and how professional learning connects to actual work.

National survey research.

A study of U.S. academic library employees examines AI literacy, experiences, and development needs. The paper reports the sample, methods, and limits of the findings.

Learning through practical exploration.

The GPT-4 Exploration Program at the University of New Mexico connected professional learning with real tasks, reflection, and peer discussion. The published case study describes the program and participants’ reported experiences.

Thinking in the Age of AI.

In my University of Virginia seminar, students examine how they delegate thinking to AI. Through reflective diaries and close examination of their interactions, they notice what they evaluate, redirect, or accept. This ongoing work explores habits of judgment beyond the simple distinction between using and not using AI.

AI Literacy and Action Lab.

I co-founded UVA’s AI Literacy and Action Lab with Christa Acampora. The work connects AI literacy with learning, research, and practical engagement across the university.

A longer line of inquiry.

Earlier research on textbook affordability, open access policy, leadership, and professional well-being continues to inform my work. Across these settings, I am interested in the conditions that help people learn, exercise judgment, and participate in the production of knowledge.