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Riverside Local committee highlights early gains from personalized learning and readies AI policy for first reading
Summary
District committee members described gains in classrooms using personalized learning, debated data needs to measure outcomes, and reviewed a new AI policy (based on the state model and NEOLA) set for first reading in February.
Speaker 4 told the committee the district is seeing measurable gains where personalized learning is embedded, citing math and MAP-score improvements in classrooms that have adopted the approach. Speaker 2 raised concerns that too much student choice could weaken foundational skills and asked for outcome data beyond in‑district metrics. Speaker 1 said personalized learning does not replace explicit instruction: "personalized learning doesn't mean there's no direct instruction," and described…
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