Adds $40,000 for Parallel Learning to support high school career pathway work-based learning

This amendment raises the cap from $60,000 to $100,000 for Parallel Learning to support the Linked Learning work-based learning team. The work aims to improve pathway teaching, internships and graduation rates. The term stays July 1, 2023 through June 30, 2024. The agreement period began before the board vote.

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

Vendor / partner: Parallel Learning · Oakland, CA
Action: Amendment
Category: Classroom & academic programs
Term: Jul 1, 2023 – Jun 30, 2024
This vote: $40,000
Previous total: $60,000
New total: $100,000
Funding: CTE Incentive Grant
Resource / site: 6387-912
Vendor no.: 008028
Presented by: Chief Academic Officer
File: 24-1450 · agenda T.-40
Outcome: Adopted on the General Consent Report, Jun 26, 2024

Official text

Ratification by the Board of Education of Amendment No. 1, Services Agreement 2023-2024 by and between the District and Parallel Learning, Oakland, CA, for the latter to provide collaboration and technical support to the High School Network Linked Learning Office work-based learning team to improves pathway teachers practice and experiences for students, leading to improved graduation rates for students and families. Industry and community partners’ internship programming quality, for the unchanged term of July 1, 2023 through June 30, 2024, in the additional amount of $40,000.00, increasing the Agreement not to exceed amount from $60,000.00, to $100,000.00. All other terms and conditions of the Agreement remain in full force and effect.

History

Jun 26, 2024 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.