AI Literacy Events
Join the School of Information Studies’ AI Literacy events to explore practical applications of AI and learn, ask questions, and engage with AI experts.
AI Talk 4
How to Use AI Tools to Create Video | February 24, 11:30 AM–1:00 PM, WALC 2036
Questions? Contact Jing Lu at lu59@purdue.edu.
AI Skills Drill Workshop 1
AI for Graduate Advising & Research Mentorship
Date and Time: Wednesday, March 11, 3:00–4:30 PM
Format: Hybrid (in person and online)
Location: WALC 2007/Zoom Meeting
This workshop explores how AI can be used to support graduate advising and research mentorship in practical and responsible ways. Participants will examine how AI can support common advising tasks, such as clarifying expectations, preparing for meetings, and supporting research workflows, while still keeping faculty judgment and appropriate boundaries at the center.
This session is especially useful for faculty who advise graduate students and want to reduce repetitive advising work without compromising the quality of mentorship or student privacy. Participants will leave with a reusable, evidence-based approach to advising and a clear way to decide when AI can assist and when human involvement is essential.
Best for faculty who:
- Advise graduate students regularly
- Answer the same advising questions repeatedly
- Want to support research progress while keeping clear boundaries
No prior AI experience is required. Questions? Contact Jing Lu at lu59@purdue.edu.
AI Literacy Speaker Series
“AI Literacy & Higher Education—Where We Go from Here” lecture by Dr. Ben Lee, Assistant Professor in the Information School at the University of Washington
Date: Wednesday, March 25
Time: 2:00–3:30 PM
Location: WALC 2007
Artificial intelligence is everywhere—from our classrooms and research labs to library systems and campus policies. But how should higher education respond? What does responsible AI adoption look like? And who gets to shape that future?
In this engaging presentation, Lee will explore:
- The opportunities and risks AI presents for universities
- What meaningful AI literacy looks like across campus
- How institutions are developing (and struggling with) AI policy
- Why libraries are uniquely positioned to lead in this moment
AI Skills Drill Workshop 2
The AI Studio for Teaching and Course Design
Date and Time: Wednesday, April 1, 3:00-4:30 PM
Format: Hybrid (in-person and online)
Location: WALC 2124/Zoom
This workshop focuses on helping faculty thoughtfully integrate AI into teaching through course and assignment design. Rather than avoiding or reacting to student AI use, participants will explore how to design assignments where AI use is transparent, purposeful, and aligned with learning goals.
This session is especially useful for instructors who are unsure what to allow, restrict, or require when students use AI. Participants will work with real assignments and leave with a redesigned AI-permitted assignment, clear student-facing guidance, and practical ideas they can use immediately in their own courses.
Best for faculty who:
- Are unsure how to handle student AI use in assignments
- Want assignments that still emphasize thinking and learning
- Are redesigning or updating their courses
No prior AI experience is required. Questions? Contact Jing Lu at lu59@purdue.edu.
AI Skills Drill Workshop 3
Invisible Labor Hack AI for Academic Workflow Automation
Date and Time: Thursday, April 23, 2:00–3:20 PM
Format: Hybrid (in-person and online)
Location: WALC 3121/Zoom
This workshop focuses on using AI to reduce the repetitive, time-consuming tasks that often make up invisible academic labor, such as grading, emails, meeting follow-ups, and course preparation. Participants will explore simple and low-barrier ways to use AI to streamline everyday academic work without relying on complex tools or technical setups.
This session is especially useful for faculty who feel overwhelmed by routine tasks and want practical ways to save time while staying in control of their work. Participants will leave with at least one reusable AI-supported workflow and a clearer way to identify which tasks are appropriate for automation and which should remain human-led.
Best for faculty who:
- Feel overwhelmed by grading, emails, or course prep
- Repeat the same tasks week after week
- Want simple ways to save time without complex tools
No prior AI experience is required. Questions? Contact Jing Lu at lu59@purdue.edu.