A Preliminary Discussion on the Transformation of Postgraduate Supervisors' Supervision Approaches in the Context of Digital-Intelligence Empowerment
DOI:
https://doi.org/10.61360/BoniCETR262020961004Keywords:
digital-intelligence empowerment, generative artificial intelligence, supervisor–supervisee relationship, supervision approach, distributed cognitionAbstract
The development of technologies such as artificial intelligence, big data, and cloud computing is driving higher education to gradually shift from an "experience-driven" model of knowledge production and research toward a new "data-driven" form. As the first responsible persons for cultivating top-notch innovative talents, postgraduate supervisors' supervision approaches directly affect the quality of graduate education. Drawing on Actor-Network Theory and Distributed Cognition Theory, this paper systematically analyzes the practical problems that may arise after digital-intelligence technologies intervene in the graduate supervision process. It then discusses practical paths for transforming postgraduate supervisors' supervision approaches from four aspects—knowledge management, research process, supervisor–supervisee relationship, and evaluation mechanisms—in order to provide reference for optimizing the supervision ecosystem and cultivating graduate students' independent innovation ability.
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Copyright (c) 2026 Peitao Zhao, Fang Liu, Lai Zhou
This work is licensed under a Creative Commons Attribution 4.0 International License.
