Generative Feedback at Scale in Large Cohorts: Quality Against Marker Feedback
DOI:
https://doi.org/10.5281/zenodo.22694844Keywords:
Generative Feedback at Scale in Large Cohorts; Educational technology; E-learning; Evidence synthesis; Research methodologyAbstract
Generative Feedback at Scale in Large Cohorts has moved quickly from a niche scientific question to something a wider
community can now investigate with reasonably reliable tools, but the evidence behind it has not always kept pace. We pull
together the current evidence for generative feedback at scale in large cohorts, covering the methodological, practical, regulatory
and cost angles, with an eye on where practice has genuinely settled and where researchers and reviewers are still largely
working it out for themselves. Selective, context-specific pursuit looks better supported by the evidence gathered here than either
broad rollout or blanket avoidance.
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