大学化学 >> 2026, Vol. 41 >> Issue (10): 104-111.doi: 10.12461/PKU.DXHX202511025

教学研究与改革 上一篇    

智能时代的研究生培养模式改革：AI赋能材料与化工专业硕士教学改革讨论

李波, 孙旭镯, 谭梦茜, 马路山, 曹晓雨, 陈静   

  1. 河南工业大学化学化工学院, 河南 郑州 450001
  • 收稿日期:2025-11-03 录用日期:2025-12-02 发布日期:2026-10-13
  • 通讯作者: 李波, 陈静 E-mail:haut-libo@haut.edu.cn;chenjing0504@haut.edu.cn Bo Li, Jing Chen
  • 基金资助:
    河南省高等教育教学改革研究与实践项目(2023SJGLX041Y)

Reforming graduate training mode in the AI era: a discussion on AI-enhanced teaching reform for master’s programs in materials and chemical engineering

Bo Li, Xuzhuo Sun, Mengxi Tan, Lushan Ma, Xiaoyu Cao, Jing Chen   

  1. College of Chemistry and Chemical Engineering, Henan University of Technology, Zhengzhou 450001, Henan Province, China
  • Received:2025-11-03 Accepted:2025-12-02 Published:2026-10-13
  • Contact: Bo Li, Jing Chen E-mail:haut-libo@haut.edu.cn;chenjing0504@haut.edu.cn

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摘要： 随着现代社会产业不断升级和人工智能(AI)技术的广泛应用，新工科背景下专业人才培养需求也随之升级。本文探讨了AI技术应用于材料与化工专业硕士研究生培养体系中教学、实践、评价和学术诚信等多方面的改革，为继续深化材化专业硕士研究生教学培养方式改革，建立专业核心能力与AI技术深度融合的培养体系开展了有意义的探索。

关键词: 材料与化工, 人工智能, 培养模式

Abstract: With the continuous advancement of modern industries and the widespread application of artificial intelligence (AI) technology, the demand for cultivating professional talent within the framework of Emerging Engineering Education has also evolved. This paper examines reforms in teaching methodologies, practical training, evaluation systems, academic integrity, and related aspects, driven by the integration of AI technology into the training framework for master’s students in materials and chemical engineering. The study provides valuable insights for further refining teaching and training approaches for graduate students in these disciplines and establishing an educational system that deeply integrates core professional competencies with AI technology.

Key words: Materials and chemical engineering, Artificial intelligence, Training mode