This hands-on practical workshop will introduce you to the myriad ways that AI can support your teaching practice. It's not about using the 'next big thing', it's about giving you back the time you'd rather be spending with your students.
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About this session
In 90 minutes, we’ll build practical, tool-agnostic workflows that streamline teaching tasks. We’ll keep a pedagogy-first lens with clear guardrails for privacy, ethics, and academic integrity.
We’ll cover
- Drafting and adapting course materials (syllabi, rubrics, prompts)
- Scaling feedback and assessment—while you stay in the driver’s seat
- Streamlining routine administrative tasks (announcements, emails, LMS chores)
- Brainstorming examples, cases, and activities tailored to your course
- Using AI for reflection, feedback, and ongoing professional growth
You’ll leave with
- Reusable prompts and templates customized to your course
- A short list of AI workflows you can implement this week
- Tips for transparent, student-centered use (privacy, equity, integrity)
- A simple decision guide for when—and when not—to use AI
Who should attend
Faculty teaching online, hybrid, or in person. Beginners welcome; no coding or prior AI experience required.
FACILITATOR
Andrew Lawrence
Education Technology Specialist
Andrew is passionate about making online education better in his community by directly supporting instructors in online environments. He received his M.A. in Educational Leadership and Policy from Portland State University with a focus in Online Education. He has a deep interest in the learning outcomes of students in online learning environments. He also has a deep interest in watermelon, pockets, coffee and hiking to the hot springs. His current research explores how constructivist assumptions about technology influence pedagogical innovation in LMS platforms.