You’ve established syllabus policies and had conversations with your students about Generative AI, but how do you adapt your assessment strategies to ensure that you can evaluate their learning?  We know standard essay prompts, quick-answer quizzes, assignments, and even discussion posts can be easily completed by AI. This workshop focuses on evaluating the “offload-ability” of your assessments and identifying opportunities for AI integration, mitigation, or resistance. Join us to dig deeper into strategies for developing authentic assessments that shift the focus from products to processes that incorporate human-centered tasks in student learning.

Audience: Instructors

Recommended Prerequisites:

A or B:

1. Introduction to GenAI: Unpacking Key Concepts (Mini Workshop)
2. Generative AI Basics (Full Workshop)

C or D:

1. Critical Challenges in GenAI: Exploring Privacy, Ethical Implications, Integrity, and Bias (Mini Workshop)
2. Generative AI Basics (Full Workshop)

E or F:

1. From Basics to Brilliance: Prompt Engineering with U-M GPT (Mini Workshop)
2. Generative AI with U-M GPT (Full Workshop)

G or H: 

1. The GenAI Educational Landscape: Best Practices for Instructors (Mini Workshop)
2. Generative AI in the Classroom, Part I (Full Workshop)

Zoom join URL: https://umich.zoom.us/j/98888582214

This workshop is part of the new ITS Generative AI Mini-Workshop Series designed to offer a rich, engaging experience in just 60 minutes per session. With an expanded range of topics, these ten workshops are tailored to meet the varied interests and needs of instructors, staff, and students.

Participants will be able to earn new badges for participating in the series. Visit the ITS Generative AI Workshop Series page to learn more about the series.