The slideshow describes areas for pre-design analysis. Use the survey below to help us focus on priorities for data-gathering and consideration.
Why are we developing a low-residency PhD?
What triggers or opportunities should drive the redesign?
INPUTS: Full-residency program enrollment levels are unsustainable
OUTPUTS: External factors require realignment of student learning outcomes
METHODS: Program will improve by applying new best practices
PROGRAM FEEDBACK: Student reviews, test results, or placement reports merit changes
Problem Definition: Enrollment Change
If this is a problem, what changes caused it?
Learners (demographic changes)?
World (declining job market)?
Market (actual cost/benefit)?
Brand (perceived cost/benefit)?
Problem Definition: Outcomes Alignment
If this is a problem, what change caused misalignment?
Standards changes since initial design?
Field practice changes since initial design?
New priorities for changing field practice?
Problem Definition: Methods Change
If this is a problem, what improvements are recommended?
Move to outcomes-based assessment?
Deepen cohort formation (e.g. more team-based learning)
Adopt online learning (to support low residency)
Problem Definition: Feedback
If this is a problem, what was the feedback source?
Students request program changes?
Test results implies need for changes?
Placement sites report preparation issues?
Data Gathering and Analysis
Do we need to know more before we start the redesign?
Goal Analysis: how well do SLOs align with COAMFTE standards, field requirements?
Gap Analysis: where are our graduates not meeting program goals (SLOs)?
Task Analysis: what authentic evaluation measures would better mirror field performance?
Environmental Analyis: what HR/LR supports and barriers affect learning and/or performance?
Enter other questions or comments
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