Use a voice agent for oral exams
A professor used a voice agent to run oral finals, then had an LLM panel grade the transcripts and flag shared weak spots.
- What they did
- They used a voice agent to interview students about project work and capture a transcript of each exam. The setup also included a group of LLMs that reviewed the transcripts, talked through the grading, and produced an audit trail. In all, the process covered 36 students across 9 days, with each interview lasting about 25 minutes.
- How it went
- The whole process cost $15, or about $0.42 per student. It also revealed a class-wide gap in A/B testing, and 13% of students said they preferred the AI-led oral format.
- Tips
- Build in transcript review and an audit trail so you can check the grading later. Keep a human approval step before any scores or feedback are sent to students.
Try it yourself with Gemini
I’m running oral exams for [course name] with [number] students on [project/topic]. Create a voice-interview script with [number] questions that covers [topics], asks clear follow-ups when answers are vague, and saves a transcript for each student. Then review each transcript against this rubric: [rubric]. Before any grades, feedback, or results are sent to students, pause and show me the draft scoring and the class-wide patterns you found for approval.
Fill in the [brackets]. Agents can make mistakes, so review anything before it is sent, paid or deleted.
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