Evidence-based Inquiry II

Course Description

Evidence-Based Inquiry II equips practitioner-scholars to move beyond solution identification to rigorous evaluation and measurement planning for their Evidence-Based Capstone. Students will leverage their Evidence-Based Inquiry I and specialization foundations to (1) critically evaluate evidence-based solutions against criteria of feasibility, scalability, sustainability, and equity (including Social Determinants of Health). They will then (2) develop a visual representation of their improvement theory through a driver diagram that clearly links root causes to proposed change ideas. Subsequently, students will (3) design comprehensive short- and long-term measurement plans, defining key terms, selecting appropriate instruments, outlining data collection procedures, and identifying initial success metrics to guide iterative testing. Throughout the course, ethical AI tools will support literature review, logic model construction, and preliminary measurement frameworks, while peer feedback ensures contextual relevance and readiness for evaluation. Key deliverables include a personal theory of improvement, a well-reasoned driver diagram, and a viable measurement plan, which will serve as the essential groundwork for the capstone implementation and future doctoral progress. Note: The Main Issue and ultimately the Problem of Practice that you select must be aligned to your degree specialization. For example: If you are in the Early Childhood Education specialization, the Main Issue and the Problem of Practice for your capstone must focus on that educational specialization. 

Code

EDDD 8018

Credits

5

Subject

Education