Doctoral supervision as a learning ecosystem
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Abstract
The increasing complexity of educational systems positions doctoral supervision as a strategic node in the integration of research, training, and the development of advanced competencies. The literature highlights how high-quality supervision influences doctoral candidates’ academic outcomes, well-being, and professional trajectories. Conceived as a learning ecosystem, supervision emerges as a dynamic and interdependent environment in which individuals, practices, and research communities contribute to the development of critical and reflective professionals. This contribution is grounded in the framework of transformative learning (Mezirow, 2003), interpreting supervision as a pedagogical device capable of fostering reflexivity and professional autonomy. Furthermore, the paper examines the construction of supervision quality as a multi-level process integrating assessment, feedback, and competence development. The literature review ultimately identifies the pedagogical, relational, and systemic dimensions that characterize doctoral education as a complex learning ecosystem.
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