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

Abstract

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

CLC Number:

G643

TANG Tingting. Research on the Innovation Path of Graduate Education Driven by Artificial Intelligence[J]. The Theory and Practice of Innovation and Enntrepreneurship, 2026, 9(6): 80-82.

References

[1] 刘进,吕文晶.人工智能时代应深化研究生课程的学科融合——基于对MIT新工程教育改革的借鉴[J].学位与研究生教育,2021(8):40-45.
[2] 翟亚军,王战军.数智赋能我国研究生教育管理组织形态的变革与建构[J].清华大学教育研究,2023,44(6): 63-73.
[3] 周文辉,赵金敏.ChatGPT对研究生创新能力培养的价值与挑战[J].高校教育管理,2024,18(2):42-52.
[4] 赵志强. 我国研究生教育大众化水平测度及其时空比较[J].江苏高教,2025(5):95-105.
[5] 邓方,陈晨,何洪文,等.人工智能赋能研究生教育高质量发展:矛盾解构与智慧变革路径[J].学位与研究生教育,2025(9):19-27.
[6] 周思益,黄蓓蓓,钱小龙.研究生教育服务中国经济高质量发展的现实挑战、区域实践与未来走向[J].江苏高教, 2025(3):36-44.
[7] 张君凯,王嫣.面向2035年我国研究生教育规模及教育资源供需缺口预测[J].教育经济评论,2025,10(4):18-35.
[8] 杨清望,唐乾.生成式人工智能赋能研究生教育:理论逻辑、法律风险和治理路径[J].研究生教育研究,2025(2): 26-33.
[9] VERGHESE G B, IYER C, BORSE T, et al.Modern artificial intelligence and large language models in graduate medical education: A scoping review of attitudes, applications & practice[J].BMC Medical Education,2025,25(1):730.
[10] 王琳. 大语言模型技术背景下重塑研究生论文评价与指导[J].学位与研究生教育,2024(12):30-37.
[11] 蔡三发,高霞,姚昊.数字化赋能研究生教育:以学生为中心的高质量发展路径[J].教育学术月刊,2024(11):3-9,67.
[12] 马永红,于妍.数智时代研究生教育高质量发展的创新选择[J].清华大学教育研究,2025,46(1):40-47.
[13] 中国科学院创新范式研究组.加快人工智能驱动的知识创新体系建设[J].中国科学院院刊,2025,40(10):1709-1719.
[14] 于济凡,刘惠琴.基于生成式人工智能新特征的研究生教育融合创新探析[J].学位与研究生教育,2025(9): 28-34.

[1]	XIA Qi, WANG Yue, LIU Mengjia. Research on the Cultivation Path of New Quality Accounting Talents in Applied Undergraduate Education [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2026, 9(9): 17-19.
[2]	HU Zhishuai, YANG Liqing. Practice of Teaching Reform in the Course of Automatic Control Principles Empowered by Artificial Intelligence [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2026, 9(9): 47-49.
[3]	GUO Yudong, JIANG Wei, WEN Ya. Research on the Interdisciplinary Graduate Training Model Based on the IPOD Framework under the “Three Highlands and Four New Missions” Strategy [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2026, 9(9): 99-101.
[4]	LYU Jingzhi, ZHANG Le. Research on the “Three Dimensional Integration” Education Model of AI Empowered Music Theory Courses [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2026, 9(9): 106-108.
[5]	LU Shimin, DENG Chao. Challenges and Strategies for the Teaching of Physical Education in Colleges and Universities in the Era of Artificial Intelligence [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2026, 9(9): 118-121.
[6]	XI Donghe, CHEN Tingting. Research on the Practical Paths of Deepening Basic Skills Education in Higher Vocational Colleges in the Era of Artificial Intelligence [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2026, 9(9): 122-124.
[7]	ZENG Xianqiang, YANG Fulong, LI Hengjie, WEI Tengfei. Transformation Path and Practical Exploration of AI-Enabled Teaching of Fundamentals of Digital Electronics Technology [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2026, 9(9): 138-140.
[8]	LI Cuiping, LI Dinghe, YANG Di. Research on the Management System for University Teachers' Industry Practice under the Integrated Development of Education, Science and Technology, and Talent—Case Study of the Civil Aviation University of China [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2026, 9(9): 157-159.
[9]	YU Tao, LIU Wei, YU Baiyang. Research on the Intelligent Reconstruction Path of the Practical Teaching Module of “Double Innovation” Education in Universities from the Perspective of AI Empowerment—Taking the Basic Course of Innovation and Entrepreneurship for College Students as an Example [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2026, 9(9): 175-178.
[10]	YANG Jing, ZHANG Chunlei. Optimization Path of the Evaluation System for College English Classroom Teaching in the Era of Artificial Intelligence [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2026, 9(8): 17-19.
[11]	QIN Mingcan, HAO Xiaohong, ZHAO Yinan, LI Yiqing. Explore the Teaching Evaluation Model for University Teachers Empowered by Digitalization [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2026, 9(8): 20-22.
[12]	WEN Yukun, WANG Zhenchang, ZHANG Jing, TANG Yaping, WANG Qinggao, WANG Qian, CHI Mingyang. Research on AI-Empowered “Student-Centered”Teaching Reform in Traditional Chinese Medicine Universities [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2026, 9(8): 41-43.
[13]	LIU Min, ZHOU Jinjian. Exploration of Teaching Reform in Computational Physics in the Context of Artificial Intelligence [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2026, 9(8): 56-58.
[14]	DAI Liujiang, WEI Xiaojie, ZHONG Jing, LIU Xuemei, WEI Yanfei. Exploration of the Current Situation and Implementation Path of AI Empowered Integrated Education of Traditional Chinese and Western Medicine [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2026, 9(8): 76-78.
[15]	LI Shuguang, WANG Yan, WEI Na. Whole-Process Quality Enhancement Pathway for Graduate Thesis Topic Selection in Mining Engineering—Case Study of Inner Mongolia University of Science and Technology [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2026, 9(8): 91-93.