Five recommendations for integrating Improvement Science with SEERNet¶

Strategy · All strategies
Evidence · no claims cited

Description¶

The paper concludes with five recommendations: "Foster Collaboration" between researchers and practitioners; "Establish Data-Sharing Protocols" to ensure privacy and security and build trust; "Leverage Data for Root Causes" using both practitioner accounts and platform data; "Implement Iterative Improvement Methodologies" integrating comparative testing with PDSA cycles; and "Scale Effective Interventions" across contexts for equitable benefits for diverse student populations.

Design Implications¶

Context¶

Requirements¶

• Partnerships between researchers and practitioners and clear data-usage guidelines agreed among all parties

Constraints¶

• Professional development is critical, as educators and researchers need training to interpret SEERNet DLPs' data analysis results and apply Improvement Science principles effectively

Target Learners¶

• Diverse student populations across districts

Target Learning Goals¶

• Collaborative identification of student needs and scalable, equitable intervention improvement

Related Strategies¶

• Run PDSA cycles in which researcher-practitioner teams test modified assignments against as-is versions across multiple classrooms
• Move from extractive research toward research-practice partnerships, practitioner-facing outputs, and transparent privacy documentation
• Integrate PETs at every stage of the research lifecycle
• Plan an extended feasibility phase in which research and platform teams jointly refine design, implementation, and logistics

Examples¶

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Key Sources¶

• Manai, J., & Roschelle, J. (2024, November). Connecting SEERNet and Improvement Science to Pursue Better Outcomes in Schools. Digital Promise. https://doi.org/10.51388/20.500.12265/234