IHE Piece on Constructive Dialogue and Oral Assessments in the Age of AI
Cambriae W. Lee and I just published a piece in Inside Higher Ed on why and how to use oral assessments. Check it out!
Welcome to AutomatED: the newsletter on how to teach better with tech.
Each week, I share what I have learned — and am learning — about AI and tech in the university classroom. What works, what doesn't, and why.
In this week’s edition, I highlight an IHE piece published today that I co-authored.
Earlier this morning, Inside Higher Ed published a piece I co-authored with Cambriae W. Lee of the Constructive Dialogue Institute. Below, I offer a synopsis of it, but here is the direct link if you want to check it out:
Roughly, our piece proceeds as follows:
The AutomatED AI-Immunity Challenge shows that AI tools are already sufficiently sophisticated to enable students to shortcircuit or shortcut complex assignments.
If — and we emphasize this ‘if’ — a professor is concerned about AI plagiarism in light of #1 above and want to try to prevent it, then there are two broad categories of options they can utilize:
Assign only in-class work.
Pair take-home work with in-class work so that students must complete the take-home work honestly to successfully complete the in-class work.
While assigning only in-class work may be feasible in some contexts, it isn’t in others. In those other contexts, oral assessments can be an effective alternative to engage and assess students, especially when paired with preparatory take-home work.
If a professor agrees and wants to utilize in-class oral assessments, there are a range of considerations to address beforehand, including:
Classroom culture and dynamics.
Student comfort and psychological safety.
Preparatory work using dialogue tools, guides, and trainings.
Once the professor has set the stage, there are many forms that in-class dialogue-based assessments can take, including two that we suggest (with AI-enhanced variations):
Check it out if it sounds interesting or useful to you!