People · Practice · Possibility
Independent research for education leaders
Before adopting AI scoring, ask the assessment lead to compare identical work in a fresh session and a personalized session. Record score changes, feedback differences and teacher judgments. Keep final grades with educators, establish an appeal route, and repeat the check after a model or prompt changes.
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Read the story 1 min readNEXT WEEK
1. Assessment director: select one proposed AI scoring workflow and test identical work with varied student context; document disagreements and an appeal owner.
2. Curriculum leads: pilot an initial-answer, evidence-check and final-explanation routine in two existing lessons. Include a later unaided task and record teacher review time.
3. Research/evaluation team: define expansion criteria before a pilot starts, including independent learning, accessibility, subgroup participation, errors and total support cost.
4. Secondary/CTE lead: assess one mentored AI research partnership for equitable recruitment, supervision and demonstrable student work.
5. Cabinet: review the evidence after a bounded trial. Do not convert usability, confidence or benchmark scores into claims of durable student learning.
Selected research published September 12-18, 2026. Findings are assessed for relevance to K-12 leadership, evidence quality and practical implications. Each summary identifies important limitations.
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