Research on the Application of AI Agent in Postgraduate Education

With the rapid advancement of AI technologies, AI agents have undergone remarkable evolution. Their application in decomposing complex problems and enhancing automated problem-solving capabilities has demonstrated growing potential across multiple domains. As a critical component of the educational system, graduate education stands to benefit significantly from the integration of AI agents, which effectively bridge large language models (LLMs) with pedagogical processes. This integration enables competency development to be innovatively augmented at varying granularities. Centered on a competency-driven framework, this paper explores the implementation modalities of AI agents in graduate education, analyzes their roles in curriculum design and mentoring methodologies, and discusses associated risks and challenges throughout the cultivation process.