Oral Assessment at Scale
Asking a student to explain their thinking out loud has always been the surest way to know they truly understand it. AI has made that harder to read in written work, and it has also removed the one thing that ever held oral assessment back, which was the difficulty of running it across a full cohort. This guide brings together the history, the research, and a practical roadmap for oral assessment in the age of AI, together with the three FeedbackFruits tools that make it work inside the LMS you already use.
- The full case for oral assessment, and why a spoken explanation reveals understanding that a written or AI-assisted submission cannot.
- Why AI has changed what a submission can tell you, from chatbots that draft essays to agents that can complete a whole course, and why detection is not the answer.
- The research in plain language, with linked studies on academic integrity, employability, and equity, ready to brief a committee or answer a sceptical colleague.
- The 4 barriers that kept orals out of large cohorts, and how AI has turned each one into a solvable problem.
- 3 new FeedbackFruits learning tools: Oral Practice for low-pressure rehearsal, Oral Assessment for a tutor-led conversation supported by AI, and Oral Reflection for a scalable window into how students think.
- A one-semester roadmap and six templates to take a single course from decision to first cycle.
What’s inside?
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