Session 202: Designing AI-Resistant Assessments for Customized Student Learning

Time: 11:00 AM – 11:50 AM

Location: Hall of Science T07

Presenter: Trace Lasley (Senior Executive in Residence, SPA | Justice, Law & Criminology)

Session Description: 

This session introduces a framework for designing unique, AI-resistant assignments that move beyond traditional papers and tests. Borrowing principles of professional performance appraisals, participants will learn how to customize student experiences and explore an interactive work plan to tailor assignment design around student preferences and learning styles, fostering deeper cognitive engagement.

Learning Outcomes:

1. Implement a Collaborative Performance Work Plan (PWP) to adapt current assignments into unique, AI-resistant assessment designs
2. Analyze different categories and examples of non-traditional assignments that facilitate a responsible use of AI
3. Reflect on how prioritizing customized student experiences addresses academic integrity concerns and promotes genuine learning