Pays Silicon Valley Mathematics Initiative up to $12,000 to train and coach science teachers

Silicon Valley Mathematics Initiative will lead in-person professional learning for science teachers on language routines and student discussion. It will also coach the instructional lead and administration to sustain these teaching practices. The board is ratifying an agreement for February 16 through May 15, 2026.

Plain-English summary written by AI from the official text. AI summary · amounts checked against official text

Vendor / partner: Silicon Valley Mathematics Initiative (SVMI), LLC · San Jose, CA
Action: New agreement
Category: Classroom & academic programs
Term: Feb 16, 2026 – May 15, 2026
This vote: $12,000
Funding: Title 2-a Teacher Quality
Resource / site: 4035-950
Vendor no.: 009875
Presented by: Chief Academic Officer
File: 26-0538 · agenda O.-23
Outcome: Adopted on the General Consent Report, Apr 22, 2026

Official text

Ratification by the Board of Education of a Services Agreement 2025-2026 by and between the District and Silicon Valley Mathematics Initiative (SVMI), LLC, San Jose, CA, for the latter to provide two parts to the Scope of Work: · In-Person Professional Learning. SVMI will facilitate professional learning sessions to support science teachers in implementing language routines and re-engaging students to elevate student voice and engagement through discourse; and. · Coaching to the instructional lead and Administration to create and sustain structures, such as the scope of PD work referenced here, to ensure continued and strengthened instructional practices to support student learning for the period of February 16, 2026, through May 15, 2026, in an amount not to exceed $12,000.00.

History

Apr 22, 2026 Adopted on the General Consent Report

This is an independent project created to provide transparency to the OUSD Community, and is not affiliated with Oakland Unified District. All data used to create the Consent Report Tracker is made public by Legistar, OUSD's official platform for posting legislative records. Plain-English summaries are written by AI with narrow parameters based upon the official text of the reports. Read about how all this works.