Teaching and Learning with AI Conference

AI can write our students' essays. It can solve their problem sets, answer their discussion posts, and pass a rubric with flying colors. So, what exactly are we grading?

This session makes the case for a radical shift: stop assessing the assignment and start assessing the student.  More specifically, let's start assessing student understanding of the work they submitted, instead of grading the work itself.  We'll discuss a cross-disciplinary toolkit for scalable, AI-resistant evaluation that reveals whether learning actually happened, regardless of how the work got done. With this framework, we can shift from "did AI write this?" to "what did my student learn?"

The presenter is recording this session for her professional portfolio. Participants will not be filmed during the session, though cameras may occasionally capture the back of the audience's heads from the rear of the room. This recording is not for commercial use or conference distribution.