Prioritize process-data instrumentation, open collaboration, and dissemination in learning platforms¶

Strategy · All strategies
Evidence · no claims cited

Description¶

In its conclusion the report recommends future directions for advancing platform-embedded research: platforms should "prioritize the instrumentation of robust process data as a core feature," adopt standardized data formats for consistency, open their platforms to external researchers for collaborations across platforms, and commit to open dissemination of findings so that efficacy claims are evidence-based and verifiable. Broader adoption of models like SEERNet requires sustained partnerships between researchers and platform developers.

Design Implications¶

Context¶

Requirements¶

• Robust process-data instrumentation and standardized data formats; sustained partnerships between researchers and platform developers.

Constraints¶

• Decoupling content changes from other feature development is suggested to mitigate development-time bottlenecks; school-year schedules constrain when sequence-dependent experiments can run.

Target Learners¶

• K-12 students in digital learning platforms

Target Learning Goals¶

• Verifiable, scalable evidence about what works to support learning

Related Strategies¶

• Four ecosystem recommendations: experiment with currency forms, protect time for inquiry, include everyone in team learning, and invest in adaptive platforms
• Pursue continuous collaboration between digital learning platform providers and school districts, with teacher training, to interconnect platform use with instruction
• Design classroom-embedded experiments as small, focused, theory-driven manipulations
• Research on composite instructional designs should connect studies via a common theoretical model and may exploit machine-learning-based process data
• Use identified KAM social practices to guide collaborative platform features supporting teacher adoption

Examples¶

-

Key Sources¶

• Murphy, A. (2026, July). Classroom-Based experimentation in a digital learning platform. Digital Promise. https://doi.org/10.51388/20.500.12265/306