高教学刊2026，Vol.12Issue(2)：16-19,4.DOI:10.19980/j.CN23-1593/G4.2026.02.005
生成式AI驱动下矿业工程研究生学术写作教育改革与探索
摘要
Abstract
The iterative evolution of generative AI technology has become an unavoidable topic in postgraduate academic writing education.This article focuses on the current state and deep-seated contradictions of academic paper writing for postgraduate students majoring in mining engineering under the background of the rapid development of generative AI technology in China,revealing structural problems existing in current practice such as unclear boundaries of technology application and the urgent need to improve the path for cultivating innovation ability.Based on the above problems,the research proposes reform strategies such as a quantitative recognition system for the participation of artificial intelligence in academic papers and a human-machine collaborative innovation education mechanism.This research is dedicated to enhancing the academic innovation efficiency and professional writing skills of postgraduate students in the field of mining engineering through the deep integration of technological empowerment and the essence of education,providing a referential solution for the cultivation of postgraduate academic abilities under the background of new engineering construction.关键词
生成式AI/矿业工程/人工智能/研究生学术写作/改革举措Key words
Generative AI/mining engineering/Artificial Intelligence/academic writing for postgraduate students/reform measures分类
社会科学引用本文复制引用
张锦旺,高一硕,李良晖..生成式AI驱动下矿业工程研究生学术写作教育改革与探索[J].高教学刊,2026,12(2):16-19,4.基金项目
教育部产学合作协同育人项目2023年批次立项项目"《矿井通信与物联网》课程教学团队建设与师资培训"(230804583107178) （230804583107178）
北京市高等教育学会2024年立项重点课题"基于知识图谱的能源开发概论课程教学改革研究"(ZD202422) （ZD202422）
中国矿业大学(北京)2025年研究生教育教学改革项目"生成式AI驱动下矿业工程研究生学术写作教育的实践困境与协同育人机制研究"(YJG2025002) （北京）
中国矿业大学(北京)2025年研究生课程思政建设项目"《学术规范与论文写作》课程思政"(YKCSZ2025003) （北京）
