Teaching & Learning with AI
Beyond Detection: How Oral Assessment Diagnoses Your Teaching, Not Just Their Cheating
Contributors
Megan Butterworth | COO/CMO | verballi AI
Description
What if oral assessments could do more than verify authorship? verballi is a voice-first assessment platform built with faculty, for faculty. Students complete short oral assessments on their own time. Voice authentication confirms authorship. AI grading runs against your rubric, not ours. Accessibility-first by design, with active pilots at Illinois State and Boston University. If you've been thinking past detection toward what your assignments actually measure, find us at the conference or join the 30-minute session, "Beyond Detection: How Oral Assessment Diagnoses Your Teaching, Not Just Their Cheating." Backed by ElevenLabs and Google for Startups.
Abstract: Faculty are spending more time policing AI submissions than designing meaningful assessments. The arms race is unwinnable, and detection tools keep producing false positives that damage real students. Oral assessment offers a different path. When students complete short oral responses on their own time, voice authentication confirms authorship and AI grading runs against the faculty member's rubric, not a vendor's. Aggregate response data even reveals where the teaching itself has a gap. The assessment doesn't just check integrity. It diagnoses the course. This session walks faculty through what changes when assessment becomes a conversation instead of an artifact.
Publication Date
Summer 6-17-2026
Location
Orlando, FL
Publisher
verballi
Session Type
Presentation (30 Minutes)
Format
.html
Series
Teaching and Learning with AI Conference 2026
Relation
Part of: Teaching and Learning with AI Conference 2026
Creative Commons License
This work is licensed under a Creative Commons Attribution-No Derivative Works 4.0 International License.
Audience
Faculty, Administrators, Educators, Deans
Recommended Citation
Nash, Brandon, "Beyond Detection: How Oral Assessment Diagnoses Your Teaching, Not Just Their Cheating" (2026). Teaching & Learning with AI. 15.
https://stars.library.ucf.edu/teaching-and-learning-with-ai/15