Pays an evaluator up to $18,000 to study a cross-age mentorship program in two high schools

An individual contractor will evaluate the Cross Age Mentorship Program in two high schools for 2024-25. The work includes interviews, analysis of grades, attendance and surveys, a written report and a presentation to program partners. The district would pay up to $18,000.00 for November 1, 2024 through June 30, 2025.

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

Vendor / partner: Individual contractor
Action: New agreement
Category: Classroom & academic programs
Term: Nov 1, 2024 – Jun 30, 2025
This vote: $18,000
Funding: Cross-Age Mentoring Program
Resource / site: 9019-964
Vendor no.: 001318
Presented by: Chief Academic Officer
File: 24-2850 · agenda L.-86
Outcome: Adopted on the General Consent Report, Dec 11, 2024

Official text

Ratification by the Board of Education of a Services Agreement 2024-2025 by and between the District and Moira De Nike, San Francisco, CA, for the latter to conduct an evaluation of the Cross Age Mentorship Program (CAMP) being implemented in two OUSD high schools for the 2024 to 2025 School Year, including an evaluation design and research application (with OUSD Research Assessment and Data); conduct qualitative collection of data from OUSD staff of interviews up to eight students, analyze participant grades, attendance and survey responses; deliver a written evaluation report; prepare a slide presentation with key findings and facilitate a discussion with program partners once the evaluation is complete, via High School Network, for the period of November 1, 2024 through June 30, 2025, in an amount not to exceed $18,000.00.

History

Dec 11, 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.