Assessing Student Learning in the Age of AI

Abstract

Assessing learning and determining if work submitted by students is a true representation of their learning is not a new challenge, but the increasing use of generative AI by students has compounded the difficulty of judging student work. Can we assess students at all if their work is done at home and not proctored? Finding reliable solutions that can be trusted to truly show student learning is imperative for teachers.

This session will explore the current impacts of AI on assessing student work that is not proctored through a mix of discussion with fellow instructors to hear how your peers are adjusting their assessments in light of AI and a presentation of ideas from experts that are working on this and what research has found.

Presenters