Using Voice AI Agents for Scalable Personalized Oral Exams in Education
By
sethbannon
Baker's choice. Dense with flavour, light on filler.
Summary
The article describes an innovative approach to education where professors at an AI/ML Product Management class discovered that students were submitting suspiciously polished pre-case assignments, likely using AI tools. To address this, they implemented cold calling during class, which revealed that many students couldn't explain their own work. This led to the development of a scalable personalized oral exam system using ElevenLabs Voice AI agents. The system allows for authentic assessment of student understanding through conversational AI that can ask probing questions and adapt to student responses, creating a more effective evaluation method than traditional written assignments in the age of AI assistance.
Key quotes
· 5 pulledMany students who had submitted thoughtful, well-structured work could not explain basic choices in their own submission after two follow-up questions.
The result was... illuminating.
It all started with cold calling.
In our new 'AI/ML Product Management' class, the 'pre-case' submissions were looking suspiciously good.
Not 'strong student' good. More like 'this reads like a McKinsey memo that went through three rounds of editing,' good.
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