Scaling Assessments: Equitable Evaluation Practices Across Small and Large Class Contexts through UDL & AI

Term: Spring 2026

Date: April 24th, 2026

Time: 12:00 to 1:30 p.m.

Location: Pamplin Hall 1060

Instructors: Pearl Xie, David Williamson, & Xiaoyan Ma

Presented By: Pamplin College of Business (PCOB), Center for Excellence in Teaching and Learning (CETL), Academy for Experiential Learning (AEL)

Description:

Intended for Pamplin instructional faculty and PhD students. This session helps faculty scale grading and feedback while maintaining equity and rigor by applying Universal Design for Learning (UDL) principles and leveraging AI-supported workflows responsibly.

Apply UDL-based assessment practices to improve clarity, equity, and consistency in evaluation.

Build scalable grading workflows (rubrics, exemplars, feedback banks) for both small and large classes.

Identify responsible AI-supported strategies to streamline feedback while protecting student trust and instructional integrity.