After work began
$10Knot to exceed

Approves up to $10,000 for The Teaching Well staff wellness sessions at Redwood Heights

The Teaching Well will lead 90-minute quarterly sessions for Redwood Heights Elementary School staff on self-care, community care and work-life balance. It also provides pre-meetings, take-away resources and survey results for school leaders. The agreement runs March 24 through May 30, 2025 and cannot exceed $10,000.

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

Action
New agreement
Category
Staff & hiring
Term
Mar 24, 2025 – May 30, 2025
This vote
$10,000
Schools
Redwood Heights Elementary School
Funding
Educator Effectiveness
Resource / site
6266-148
Vendor no.
004278
Presented by
Chief Academic Officer
File
25-0867 · agenda L.-20
Outcome
Adopted on the General Consent Report, Apr 23, 2025

Official text

Approval by the Board of Education of a Services Agreement 2024-2025 by and between the District and The Teaching Well, Oakland, CA, for the latter to provide 90-minute quarterly professional development sessions to build participants’ skills and language around self-care, community care, and work-life balance, create language for staff to talk about their sustainability, resilience and emotional intelligence, including pre-meetings to customize each training to the unique needs of the team, high-quality facilitation, take-away resources to utilize between sessions, as well as survey data analyzed and shared back with organizational leadership for Redwood Heights Elementary School, for the period of March 24, 2025 through May 30, 2025, in an amount not to exceed $10,000.00.

History

  1. 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.

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