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Florida State University says an early pilot found students using an AI-supported feedback tool performed about 20% better than students who chose not to use it. The tool lets students revise work after receiving feedback before submitting it for a final grade.
Why it mattersFSU’s Jonathan Fozard described the pilot during a higher-education panel at a GlobalMindED event at the United Nations on 19 October. The university’s account does not explain the study design, sample size or how the comparison was measured, so the result is a promising early signal, not a settled verdict on AI tutoring. The practical idea is straightforward: feedback before grading, with a chance to act on it. Should universities expand tools like this on early results, or wait for stronger evidence that they improve learning?
Discuss: Should universities expand AI feedback tools on early pilot results, or wait for stronger evidence that they improve learning?
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