人工智能背景下研究生学位论文质量监督机制探索  

Exploration of Quality Supervision Mechanism for Graduate Dissertation Under the Background of Artificial Intelligence

作　　者：张伟强[1] ZHANG Wei-qiang(Central University of Finance and Economics,Beijing 100081,China)

机构地区：[1]中央财经大学研究生院,北京100081

出　　处：《当代教研论丛》2025年第1期112-115,共4页contemporary Teaching and Research

基　　金：中央财经大学2023年度研究生教育教学改革研究课题:行业特色大学研究生学位论文质量管控与评价体系构建——以中央财经大学为例(ZCJG202329)。

摘　　要：研究生学位论文质量是研究生培养质量和学位授予质量的重要体现。学位论文质量监督机制主要依靠生源优化、过程管理和监督评价机制。生成式人工智能技术的快速发展对学术规范、科研伦理和原始创新等都产生了重大挑战,正视其对研究生学术研究与论文写作的危机,积极探索科学合理的制度设计、识别手段和学术文化,有利于构建学位论文质量监督的长效机制。The quality of graduate thesis is an important reflection of the quality of graduate education and degree awarding.The quality supervision mechanism for academic dissertations mainly relies on student source optimization,process management,and supervision and evaluation mechanisms.With the rapid development of generative artificial intelligence technology,it has posed significant challenges to academic norms,research ethics,and original innovation.Facing its crisis on graduate academic research and paper writing,actively exploring scientific and reasonable institutional design,identification methods,and academic culture is conducive to building a long-term mechanism for quality supervision of academic dissertations.

关 键 词：人工智能 研究生学位论文 质量监督 学术规范 

分 类 号：G643[文化科学—高等教育学]