After a study, present final data in school-useful forms, remain available for ongoing conversations, and plan carefully to avoid data overload¶

Strategy · All strategies
Evidence · no claims cited

Description¶

This strategy governs the post-study phase: present final data in ways useful for schools (for example combining study data with test scores and grades into a rich profile of each learner), stay available for ongoing conversations about problems of practice, give teachers time to analyze and apply the data, and present findings carefully so staff feel empowered rather than overwhelmed. Leach cautioned about "data overload" and wanted a good explanation to accompany any data shared with parents.

Design Implications¶

Context¶

Requirements¶

• Data analyzed and presented in a way relevant to schools' needs and interests
• A clear explanation to accompany data shared with parents, not just charts and graphs

Constraints¶

• Potential for data overload among teachers when multiple data sources are combined

Target Learners¶

• elementary and middle school students

Target Learning Goals¶

• evidence-based decision-making about instructional practice

Related Strategies¶

• During a study, researchers should visit regularly, give back to the school community, minimize classroom disruption, and share initial data for feedback
• Before a study, researchers should present the proposal to district administration, hold conversations with administrators and teachers, and host parent events to build buy-in
• Multi-stakeholder analytics partnership using improvement science with strict data governance

Examples¶

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Key Sources¶

• Improving Research and Practice through Partnership: Lessons Learned from Santa Clara Unified Schools and UC San Francisco Researchers. (2016). Digital Promise. https://digitalpromise.dspacedirect.org/items/319db7e4-46fb-4f18-a6f0-628edf43ae9e