Approves a no-cost partnership with Love Never Fails for student and parent classes at Fremont High

The district is approving a no-cost memorandum of understanding with Love Never Fails, of Dublin, that includes a COVID-19 amendment. The group will teach parents and students about human trafficking, exploitation of children and youth advocacy, and offer Cisco information technology classes to older students for IT careers. It is at Fremont High School from May 18, 2020 through May 18, 2023.

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

Vendor / partner: Love Never Fails · Dublin, CA
Action: MOU or data sharing
Category: Student health, support & family services
Term: May 18, 2020 – May 18, 2023
Schools: Fremont High School
Funding: No Fiscal Impact
Vendor no.: 002650
Presented by: Chief Academic Officer
File: 20-1747 · agenda P.-26
Outcome: Adopted on the General Consent Report, Oct 14, 2020

Official text

Approval by the Board of Education of Memorandum of Understanding (No Cost) 2019-2020 and COVID-19 Amendment between the District and Love Never Fails, Dublin, CA, for the latter to provide 2-4 hours of parent and student education (each group) on human trafficking, finding missing and exploited children, advocacy and case management against Commercial Sexual Exploitation of Children (CSEC) and at risk youth, search for missing and exploited children, parent support and youth advocacy, and Cisco Systems Information Technology classes to 16 plus students to prepare same for careers in IT, at Fremont High School, for the period of May 18, 2020 through May 18, 2023, at no cost to the District.

History

Oct 14, 2020 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.