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Implementation
Advice: Addressing gaps in what we study
Implementing evidence-based practices inevitably leads to new questions and needs which become the focus of new measurement work, such as a more nuanced focus on instructional practices that are enabled, scaled, or sustained by technology (instead of...
Advice: Addressing problems of practice through new research and measures
Implementing evidence-based practices inevitably leads to new questions (such as problems of practice that represent gaps in the existing evidence base) and needs (like wanting to measure new constructs), which become the focus of new measurement...
Understanding implementation
Measuring local implementation
Blended Learning Implementation Guide
This guide, created by The Learning Accelerator, Getting Smart, and DigitalLearningNow!, provides a step-by-step action plan for blended learning implementation decisions. The authors cover 18 actions in four areas.
Guide: Blended Learning Implementation Guide 3.0
The Learning Accelerator and Getting Smart joined with DLN to update this popular guide. Version 3.0 reflects feedback from schools and districts, developments in the field, and new educational technology trends.
Advice: Sharing knowledge about implementation
In order for what we know to benefit students, we must share and consume knowledge about student-focused, teacher-focused, data-focused, and infrastructural implementation requirements in multiple forms and fora.
Guide: Blended and Personalized Learning Implementation Guides
Before beginning your blended/personalized learning journey, explore these key resources and learn about different models, challenges, and the conditions that need to be in place for successful implementation.
Advice: Understanding effectiveness of implementation conditions and circumstances for different constituents
More evidence is needed about the conditions (e.g., content areas, blended models) that facilitate or inhibit successful blended learning implementation. Research can and should take the form of validation experiments, and implementation studies.