Archived Resources
The Resource Library houses tools and products that were developed by IDC, developed with its collaborators, or submitted by IDC stakeholders. Search and filtering tools are available to help users navigate through the library.
Archived Resources 64 - 70 of 83
Format: Presentations
The Basics of Implementation ScienceThe presentation presents an overview on developing an infrastructure that supports implementation, scale-up, and sustainability of effective practices and highlights core components of implementation. Highlighted components include: Implementation Stages, Implementation Drivers, Implementation Teams, Usable Interventions, and Improvement Cycles.
Format: Presentations
Recommended Practices and Principles for School-Age YouthThe presentation reviews information on evidence-based strategies and practices to support improved graduation/post school outcomes.
Format: Presentations
Building a Strong SSIP Using Implementation DriversImplementation Drivers are the key components of capacity and the functional infrastructure supports that enable a program’s success. The presentation highlights the three categories of implementation drivers (competency, organization, and leadership). An additional focus is on how these drivers support the development of an implementation plan that will result in positive student outcomes. Helpful handouts are included.
Format: Presentations
Moving From Theory to Action - MichiganThis state presentation describes Michigan's SIMR, Theory of Action, and approach to implementation.
Format: Presentations
Moving From Theory to Action - LouisianaThis state presentation describes Louisiana's SIMR, Theory of Action, and approach to implementation.
Format: Presentations
Moving From Theory to Action - PennsylvaniaThis state presentation describes Pennsylvania's SIMR, Theory of Action, and approach to implementation.
Format: Presentations
Understanding Data Quality in the Context of the State Systemic Improvement PlanDuring this session, the presenter applied IDC’s working principles of high-quality data to the SSIP. The presenter focused on applying the principles of data quality at each step in the SSIP evaluation.
