Through a blend of self-reflection, peer learning, and expert guidance, you will delve into the art and science of doctoral supervision, exploring common pitfalls and mastering evidence-based strategies for fostering student success.
Gain practical skills in providing targeted feedback, guiding research projects, and cultivating a supportive learning environment.
Develop a nuanced understanding of effective mentorship, learn to recognize and address the factors that inhibit student progress, and hone your ability to provide clear, constructive guidance.
The course also offers an exploration of your own doctoral experience through your peers' feedback.
This is not just a course on supervision; it's an investment in your future as a doctoral faculty member and a catalyst for cultivating a culture of excellence in doctoral education.
Available discounts:
This course will allow you to develop the following knowledge, skills and competencies:
Knowledge:
• Understanding of how and where doctoral supervision can go wrong.
• Awareness of how a supervisor's research experience and domain knowledge don't necessarily equate to effective supervision.
• Recognition of how guidance can be misinterpreted or misunderstood by doctoral students if not communicated effectively.
• Knowledge of techniques to guide students' reading and help them gain more relevant knowledge from the literature in a shorter time frame.
• Understanding of the analysis of supervision feedback.
• New knowledge through the analysis of supervision feedback from your own doctoral thesis research, the doctoral thesis research from your peers, and from examples available from the web.
Skills:
• Ability to distinguish between good formative feedback and feedback that inhibits doctoral student progress.
• The ability to guide doctoral research novices.
Competencies:
• Ability to build competencies in doctoral research supervision.
• How to ascertain and control that your formative feedback is guiding the doctoral research novice.
• Ability to embrace in thoughtful leadership.
Research methods and tools covered or trained in the course:
Data collection techniques covered or trained in the course:
Course is suitable for the following doctoral journey steps:
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