Date & Time
Thursday, April 9, 2026, 4:30 PM - 5:30 PM
Name
Caution, Collaboration, and Curiosity in AI-Assisted Assessment
Description

Approaching AI in assessment calls for caution, collaboration, and curiosity. In this session, a faculty member, an assessment professional, and an institutional innovator will share how these principles shape their work with AI in qualitative data analysis, program review, supporting faculty, and campus-wide initiatives. Participants will gain insight into emerging practices for fostering trust, maintaining ethical boundaries, and engaging colleagues in transparent, human-centered approaches to assessment.

Session Type
Concurrent Session