Interpreting Self-Reported Outcomes After AI-Assisted Writing Workshops: An Aggregate Sensitivity Analysis of Educational Claims

In a single-institution health-professions AI-assisted academic-writing workshop, 84.4% of 64 respondents reported improved understanding, with a 73.6%–91.3% working-model interval.

• Why it matters: Immediate self-reports after AI writing workshops can be misread as proof of learning or ethical competence, even though they may not measure objective outcomes.
• What they did: Using an aggregate-data interpretation framework, public respondent counts were classified by construct and reanalyzed with registered-list identification intervals that assigned every nonrespondent first to non-positive then to positive.
• The result: With 80 registrants, identification intervals were 67.5%–87.5% for perceived improvement and 56.2%–76.2% for confidence and perceived ethical improvement, supporting bounded descriptions of respondent experience only.

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