Faculty Learning Community: The AI-Savvy Educator

When

1 – 2 p.m., July 10 – Aug. 7, 2024

Where

Virtual Series

A Faculty Learning Community (FLC) facilitated by CUES Distinguished Fellow, Kathleen Kennedy, featuring her CUES project

Reimagining Assessment for the Future of Higher Education | Explore innovative assessment strategies that promote academic integrity and authentic learning in the face of rapidly advancing artificial intelligence technologies. Through a series of bi-weekly discussions, workshops, and collaborative activities, participants will examine the challenges and opportunities presented by AI tools like ChatGPT, share best practices for creating AI-resistant assessments, and develop a toolkit of adaptable assessment techniques that encourage critical thinking, creativity, and original work. The FLC aims to foster a supportive peer learning environment where faculty can experiment with new approaches, troubleshoot common issues, and ultimately enhance their assessment practices to better prepare students for success in an AI-rich future. 

Five topics: 

  1. Understanding the AI Landscape: An overview of AI writing tools, their capabilities, and their implications for academic assessment. 
  2. Rethinking Traditional Assessments: Exploring the limitations of conventional assessment formats (e.g., take-home essays) in the age of AI and discussing alternative approaches. 
  3. Designing AI-Resistant Assessments: Strategies for creating assessments that minimize the potential for AI-assisted cheating, such as in-class writing, oral presentations, and multimedia projects. 
  4. Promoting Academic Integrity in an AI World: Best practices for educating students about the responsible use of AI tools and fostering a culture of academic honesty. 
  5. Embracing AI as a Teaching Tool: Investigating ways to leverage AI constructively in the classroom, such as using ChatGPT to generate writing prompts or provide personalized feedback on drafts.

July 10 - August 7, 2024 (5-week, Summer 2)

Wednesdays: 1:00 - 2:00 PM

Target Audience: Faculty, staff, and graduate students with an interest in the use of AI in teaching and learning