EDD-FPX8030 teaches the systematic process of identifying a genuine problem of practice — grounded in real institutional data, not just impression — that will eventually anchor the EdD doctoral improvement project.
Systematically identifying a problem of practice
EDD-FPX8030 covers using multiple data sources — student achievement data, program evaluation findings, stakeholder input — to establish that a candidate problem is genuine, significant, and specific to the student's own educational context, not simply an assumed or trending issue.
Root cause analysis for educational problems
The course covers root cause analysis techniques (the 5 Whys, fishbone diagrams) for investigating a problem of practice beyond its surface symptoms, ensuring the eventual improvement project addresses genuine underlying causes rather than a superficial manifestation.
Key topics in EDD-FPX8030
- Multi-source data investigation for problem identification
- Distinguishing genuine, evidenced problems from assumed or trending issues
- Root cause analysis techniques: 5 Whys, fishbone diagrams
- Investigating beyond surface symptoms to underlying causes
- Grounding the problem of practice in the student's own institutional context
- Preparing the investigated problem for literature review and framework development
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Worked example: root cause analysis revealing a deeper issue
- Surface symptom: Declining student engagement scores in a specific grade level
- 5 Whys investigation: Why declining engagement? Increased behavioral incidents. Why increased incidents? A recent shift to larger class sizes. Why larger class sizes? A budget-driven staffing reduction. Why that specific reduction? A broader district funding shortfall affecting this grade level disproportionately
- Root cause revealed: The genuine underlying issue is a resource allocation decision, not a classroom management or curriculum problem as initially assumed
- Lesson: Root cause analysis often reveals that a problem's true source lies further upstream than its most visible symptom suggests
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Frequently asked questions
Addressing a problem's most visible symptom directly — for example, implementing an engagement-boosting classroom activity in response to declining engagement scores — risks treating a surface manifestation while leaving the actual underlying cause (in this example, a resource-driven class size increase) completely unaddressed, meaning the intervention is unlikely to produce a genuine, lasting improvement. EDD-FPX8030 teaches root cause analysis techniques like the 5 Whys and fishbone diagrams specifically because they push investigators to keep asking why a symptom is occurring until they reach a genuine underlying cause, rather than stopping at the first, most visible explanation — an improvement project built on a properly identified root cause is far more likely to produce meaningful, sustained results than one that only addresses a symptom.
A doctoral improvement project is meant to address a genuine, specific problem within the student's own educational organization, using that organization's own evidence to establish the problem's actual significance and scope — a general educational trend, while potentially relevant context, doesn't establish whether or how that trend specifically manifests within the student's own institution, and an improvement project can only realistically address a problem the student has genuine authority and access to work on. EDD-FPX8030 requires local data grounding because this ensures the eventual improvement project addresses something genuinely significant and specific to the context where the doctoral candidate can actually implement and evaluate a meaningful intervention, rather than a broad, generic problem the candidate has no realistic ability to address within their own specific institutional context.