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Board adopts revised math-placement policy after heated debate; amendment widens opt-out route

San Francisco Board of Education · March 24, 2026
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Summary

After a contentious debate and a narrow 4–3 amendment vote, the San Francisco Board of Education adopted a revised math-placement policy to restore algebra in 8th grade through expanded-math options, braided compression pilots and an opt-out pathway to be implemented by staff.

The San Francisco Board of Education voted to adopt a revised 8th-grade math-placement policy after extensive public and commissioner questioning and a successful amendment to broaden opt-out criteria.

Superintendent Maria Hsu and district staff presented a multi-model approach informed by Stanford pilot research. Professor Tom Dee of Stanford summarized pilot results: schools that offered algebra as an additional elective or as expanded math saw substantial learning gains and lower 9th-grade algebra-repeat rates; universal algebra pilots in select schools showed no clear academic harm when implementation was strong.

Vice President Huling proposed an amendment to avoid unduly restrictive opt-out cutoffs and to require staff to craft accessible opt-out procedures for students who transfer into the district. That amendment passed on a 4–3 roll call. The board then approved the revised policy as amended on a separate 4–3 roll call.

Professor Dee urged a district learning agenda, clear informed-consent procedures for families, supports to expand algebra readiness, and the use of automatic enrollment (an opt-out default) to increase access among underrepresented students. District staff said they will pilot braided compression at two schools and refine thresholds and counseling protocols; staff also committed to detailed implementation tracking and further evaluation.

The policy directs staff to finalize operational criteria, coordinate counselor outreach and return with implementation details and metrics. The board did not set a single numeric eligibility cutoff in the policy; staff signaled they will model options and return with recommended thresholds and scheduling solutions.