Adds $8,815 to Bay Area Community Resources' after school program at Markham Elementary

This amends a memorandum of understanding (MOU) with Bay Area Community Resources so the Markham Elementary after school program can add visual arts and literacy classes and more staff time for required quality-improvement work. The limit rises from $112,184 to $120,999 for August 2019 through July 2020.

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: After-school & summer programs
Term: Aug 1, 2019 – Jul 31, 2020
This vote: $8,815
Previous total: $112,184
New total: $120,999
Schools: Markham Elementary School
Funding: After School Education and Safety (ASES) Grant
Resource / site: 6010-138
Vendor no.: 000624
Presented by: Chief Academic Officer
File: 19-2368 · agenda P.-92
Outcome: Adopted on the General Consent Report, Dec 11, 2019

Official text

Approval by the Board of Amendment No. 1, Memorandum of Understanding between the District and Bay Area Community Resources, San Rafael, CA, for the latter to add visual arts and literacy classes to their after school offerings, as well as allocating additional staff time to focus on mandated Continuous Quality Improvement (CQI) process to ensure after school program quality for the After School Program at Markham Elementary School, for the period of August 1, 2019 through July 31, 2020, in the additional amount of $8,815.00, increasing the MOU not to exceed amount from $112,184.00 to $120,999.00. All other terms and conditions of the MOU remain in full force and effect.

History

Dec 11, 2019 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.