The Tutor for At-Risk Readers
You are a district administrator with one year of funding for reading intervention. You can keep a proven human-tutor program that serves roughly 30 at-risk readers in a tightly supervised model with strong outcomes, or shift the entire budget to an AI tutoring platform that the vendor says can reach about 300 students at the same cost. The vendor's pilot data is suggestive but thin: small samples, short windows, no independent replication. The board wants reach. The teachers want quality. The students cannot vote.
These scenarios are designed to surface tensions, not to prescribe answers. There is rarely one right path. Use them to provoke your team's actual conversation.
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