创新创业理论研究与实践 ›› 2026, Vol. 9 ›› Issue (6): 80-82.

• 教育改革与发展 • 上一篇    下一篇

人工智能驱动的研究生教育创新路径研究

唐婷婷   

  1. 广西民族大学 政治与公共管理学院,广西南宁 530006
  • 出版日期:2026-03-25 发布日期:2026-07-01
  • 作者简介:唐婷婷(1994—),女,侗族,广西桂林人,博士研究生,讲师,研究方向:城市群与区域可持续发展。
  • 基金资助:
    广西研究生教育创新计划项目“人工智能驱动的研究生经管方法类课程‘配—导—研’三位一体教学模式创新研究”(JGY2025120)

Research on the Innovation Path of Graduate Education Driven by Artificial Intelligence

TANG Tingting   

  1. School of Politics and Public Administration, Guangxi Minzu University, Nanning Guangxi, 530006, China
  • Online:2026-03-25 Published:2026-07-01

摘要: 随着人工智能技术的快速发展,研究生教育迎来深刻变革。该文立足我国研究生教育发展的现实需求,系统分析人工智能在教学、评价、科研、管理及教育关系等领域的深层赋能机制,提出“人工智能驱动的研究生教育”是一种融合技术理性与教育价值的系统性重构过程;通过教学智能化、评价精准化、科研赋能化、管理智能化四个维度,探讨人工智能对研究生教育理念、模式与管理体系的重塑;进一步提出构建智能化教学系统、打造智慧化导师制度、推动数据驱动的科研训练模式、推进智能化学科交叉融合平台建设等创新路径。该文旨在为构建面向未来、服务国家战略实施的高质量研究生教育体系提供理论支持与实践参考。

关键词: 人工智能, 研究生教育, 教育理念, 教育模式, 管理体系, 创新路径

Abstract: With the rapid development of artificial intelligence technology, graduate education is undergoing profound changes. This article is based on the practical needs of the development of graduate education in China, and systematically analyzes the deep empowerment mechanism of artificial intelligence in teaching, evaluation, scientific research, management, and educational relationships. It proposes that“AI driven graduate education”is a systematic reconstruction process that integrates technological rationality and educational value, explores the reshaping of graduate education concepts, models, and management systems by artificial intelligence through four dimensions: intelligent teaching, precise evaluation, empowering scientific research, and intelligent management; further propose innovative paths such as building an intelligent teaching system, creating a smart mentor system, promoting data-driven scientific research training models, and advancing the construction of an intelligent chemistry cross integration platform. This article aims to provide theoretical support and practical reference for building a high-quality graduate education system that is future oriented and serves the implementation of national strategies.

Key words: Artificial intelligence, Graduate education, Educational philosophy, Educational model, Management system, Innovation path

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