The Sethi Ledger

People · Practice · Possibility

Independent research for education leaders

Leadership Section

Week ending 2026-10-02Download PDF Edition
This edition at a glance 8 selections
  • Measure confidence and demonstrated reasoning separately. A well-designed AI activity can still produce validation-seeking rather than deeper dialogue.
  • Review the whole instructional design. A classifier, a rubric or a verified answer does not explain a learning outcome on its own.
  • Protect access and agency. Use uncertain predictions to invite participation, and ensure monitoring does not erase work or create unnecessary barriers.
  • Test transfer after support is removed. Later, unaided performance is a stronger adoption signal than successful completion inside a tool.
Actions for leaders

1. Curriculum and assessment: Choose one current AI pilot and add an unaided reasoning task plus a delayed transfer question. Keep confidence ratings separate from achievement.

2. Student services and IT: Review what happens when monitoring flags a student. Preserve completed work, test accommodations and provide human review.

3. Enrichment leaders: Audit invitations, preparation and access to STEM opportunities. Evaluate outreach results rather than using a prediction as a gate.

4. Superintendent cabinet: Ask each pilot owner to bring one observed benefit, one failure case, the staff cost and the evidence needed before expansion.

Sources & selection notes

Selected research published September 26-October 2, 2026, assessed for K-12 leadership. Evidence, practical implications and important limitations accompany each selection.

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