AI Faculty Development Series: Transform Your Teaching with AI
Join us for a comprehensive professional development series designed to help faculty harness the power of AI in higher education. From streamlining course prep to addressing academic integrity, these sessions will equip you with practical skills and insights for the AI-enhanced classroom.
Series Overview: Your Path to AI Integration
The AI Faculty Development Series offers a structured approach to understanding and implementing AI in your teaching practice. Join us monthly for focused sessions led by Provost's Teaching Fellow Sarah E. Moore (MA '07, PhD '17).
Each session follows a consistent format: a 30-minute recorded presentation followed by unrecorded discussion, giving you the freedom to ask questions and share experiences in a collegial environment.
When
First Thursday of each month, 12:00–12:45 PM
Where
Microsoft Teams (Virtual)
Format
30-minute presentation + 15-minute discussion
August 14: Five Ways to Use AI to Prep for Fall
What if AI could save you hours before the semester even begins? Discover how generative AI can streamline routine teaching prep, from updating dates to summarizing feedback.
Time-Saving
Learn techniques to automate repetitive tasks and free up valuable time for more impactful teaching activities.
Practical Applications
Explore five concrete AI applications you can implement immediately in your course preparation.
Ready for Day One
Walk away with strategies to enhance your course materials before students even arrive.
September 4: AI and the Workforce – How Higher Ed Must Respond
Workplace Transformation
Understand how AI is reshaping industries and creating new skill demands
Educational Response
Explore necessary curriculum and pedagogical innovations
Student Readiness
Develop strategies to prepare students for an AI-enhanced workforce
Are we preparing students for a workplace transformed by AI? As automation accelerates and generative tools reshape industries, higher education must respond with innovative approaches. This research-informed session examines workforce trends and offers practical strategies for aligning your teaching with evolving workplace demands.
October 2: Getting Started with AI in Teaching and Learning
Curious about using AI in your teaching but unsure where to begin?
This foundational session introduces essential AI tools and use cases specifically relevant to higher education contexts. You'll observe a live demonstration of effective prompting techniques and learn the fundamentals of working with generative AI systems.
Perfect for beginners, this session provides the knowledge and confidence you need to start exploring AI applications in your own teaching practice, regardless of your technical background or discipline.
November 6: AI, Academic Integrity, and Classroom Ethics
How do we maintain trust and accountability in an AI-enabled classroom? As detection tools evolve and student use of AI becomes increasingly common, faculty face complex ethical decisions about assessment design, disclosure requirements, and fairness.
This critical session addresses the challenging questions at the intersection of AI and academic integrity, providing clear guidance through current challenges, realistic case examples, and effective policy strategies.
Detection Limitations
Understanding the capabilities and boundaries of AI detection tools
Policy Development
Crafting clear AI guidelines for your syllabus and assignments
Case Studies
Examining real scenarios and effective faculty responses
December 4: Using AI to Update Courses and Plan for Spring
What if AI could co-create better assignments faster? Discover how faculty are using generative AI to brainstorm, revise, and scaffold lessons while maintaining academic rigor and pedagogical effectiveness.
This practical session reveals strategies for integrating AI into instructional design and course planning, including considerations around when and how to disclose AI use to students and colleagues.
Leave with actionable techniques to enhance your Spring semester planning and course development process, saving time while potentially improving educational outcomes.
Meet Your Facilitator
Sarah E. Moore, Provost's Teaching Fellow
As a faculty member focused on teaching, Dr. Moore brings both theoretical knowledge and practical expertise to these sessions.
Her research focuses on the intersection of technology and pedagogy, with recent work specifically examining AI's impact on higher education pedagogy, particularly related to policy, professional development, and business communication.