Research brief
Report purpose
This report establishes QLM's annual public lens on assessment reform: what is breaking, what evidence is replacing final-output trust, and which institutions are moving from AI adoption to AI-era validity.
Planned evidence sections
The first full edition should track tutor answer-leak rate, Socratic rate, misconception classification quality, assessment conversion quality, classroom intervention lift, AI fluency transfer, and living profile portability.
Publication method
The report should combine QLM product benchmarks, pilot findings, external research citations, educator interviews, and limitations. Each metric should explain sample size, method, and interpretation boundaries.