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Published on: June 21, 2010
Navigating the Unique Complexities of Dissertation Supervision in Doctoral Nursing Education
New faculty require training for the complex role of dissertation supervision. Understanding the challenges in doctoral education, including power dynamics and artificial intelligence risks, is crucial for effective guidance.
Area of Science:
- Nursing Science
- Doctoral Education
Background:
- Doctor of Philosophy (PhD) dissertation research presents complex educational challenges.
- Newly hired faculty often lack adequate preparation for supervising dissertations.
- Current workload calculations do not reflect the intensity of dissertation supervision.
Purpose of the Study:
- To explore the challenges and dilemmas inherent in supervising doctoral students.
- To provide insights for faculty development in dissertation supervision.
Main Methods:
- Reflections from two research methodologists supervising students in a nursing science PhD program.
- Qualitative exploration of the supervision process.
Main Results:
- Supervision challenges include power dynamics, authority issues, and reputational self-protection.
- The dissertation process is paradoxical, with distinct graduate nursing education structures and nonlinear learning trajectories.
- Emerging risks from generative artificial intelligence impact doctoral research supervision.
Conclusions:
- Newly hired faculty need specific preparation for the unique demands of supervising student research.
- Addressing the complexities of doctoral supervision is essential for faculty success and student outcomes.
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