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OA

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.