Design an evaluation and research framework with mapped data landscapes, program measures, and data-sharing agreements¶

Strategy · All strategies
Evidence · no claims cited

Description¶

Step 8 of the Guidebook directs teams to map their institution's data landscape, develop evaluation and research questions, identify program measures, establish data-sharing agreements, and share data with stakeholders for continuous improvement. It notes that "Data sharing across education segments can guide more accurate student placement, inform early warning systems, and ensure robust evaluations for program improvement." A Goals and Measures Worksheet and example data-sharing MOUs and dashboards are provided in the appendices.

Design Implications¶

Context¶

Requirements¶

• Establish data-sharing agreements across education segments

Constraints¶

• Data-sharing agreements require partnership with local school districts within the institution's service area

Target Learners¶

• College Promise program staff and institutional researchers serving community college students

Target Learning Goals¶

• monitoring student progress and evaluating program success to inform improvement

Related Strategies¶

• Build a College Promise team spanning internal campus units and external cross-segment and cross-sector partners
• Analyze & Inventory: use cross-departmental data analysis and an inventory of existing interventions before buying new edtech
• Develop a shared landscape directory of skills-first tools with identified owners, costs, and accessibility limits

Examples¶

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Key Sources¶

• Rauner, Lundquist, & Smith. (2019). The College Promise Guidebook for California and Beyond. WestEd. https://californiacollegepromise.wested.org/guidebookresources/