Frontiers in Educational Research, 2025, 8(12); doi: 10.25236/FER.2025.081209.
Rong Huang, Shuai Mao, Lihua Yang
Automotive Business School, Hubei University of Automotive Technology, Shiyan, China
The rapid advancement of artificial intelligence is profoundly reshaping postgraduate education. Beyond mastering disciplinary knowledge, cultivating graduates capable of effective human–AI collaboration has become an essential goal of talent development. To address this emerging demand, this study conducts a systematic review of domestic and international research on postgraduate education and human–AI collaboration and proposes a four-dimensional core competency model comprising AI Tool Mastery, Higher-Order Cognitive Construction, Human–AI Social Collaboration, and Value-Oriented Ethical Agency. The Analytic Hierarchy Process (AHP) is further employed to determine the relative weights of these dimensions. The findings aim to offer theoretical insights and practical guidance for promoting the high-quality development of postgraduate education in the era of artificial intelligence.
Human–AI Collaboration, Postgraduate Education, Core Competencies, Model Construction, Analytic Hierarchy Process (AHP)
Rong Huang, Shuai Mao, Lihua Yang. Constructing a Core Competency Model for Postgraduate Students in Human–AI Collaborative Contexts. Frontiers in Educational Research (2025), Vol. 8, Issue 12: 59-63. https://doi.org/10.25236/FER.2025.081209.
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