Adds $55,300 for Bay Area Community Resources to supervise student mentors at Oakland Tech

This amendment adds $55,300 to a 2020-2021 agreement with Bay Area Community Resources, raising the not-to-exceed amount from $333,270 to $388,570. The added money covers supervision of five Student Support Specialists who give extra academic mentoring to pathway students affected by the COVID pandemic. The period is August 1, 2020 through June 30, 2021.

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

Vendor / partner: Bay Area Community Resources · San Rafael, CA
Action: Amendment
Category: Classroom & academic programs
Term: Aug 1, 2020 – Jun 30, 2021
This vote: $55,300
Previous total: $333,270
New total: $388,570
Schools: Oakland Technical High School
Funding: Measure N
Resource / site: 9333-305
Vendor no.: 000624
Presented by: Chief Academic Officer
File: 21-1222 · agenda V.-14
Outcome: Adopted on the General Consent Report, Jun 2, 2021

Official text

Approval by the Board of Education of Amendment No. 1, Professional Services Agreement 2020-2021 between the District and Bay Area Community Resources, San Rafael, CA, for the latter to provide supervision of five Student Support Specialists who are providing additional hours of academic mentoring services that are required due to the effects of the COVID pandemic on the lives of pathway students, for the period of August 01, 2020 through June 30, 2021, in the additional amount of $55,300.00, increasing the Agreement not to exceed amount from $333,270.00 to $388,570.00. All other terms and conditions of the Agreement remain in full force and effect.

History

Jun 2, 2021 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.