创新创业理论研究与实践 ›› 2025, Vol. 8 ›› Issue (23): 131-134.

• 模式探索 • 上一篇    下一篇

科研端口前移与新工科建设背景下矿业研究生培育模式探索

李希雯1, 王雷鸣2, 尹升华2   

  1. 1.北京科技大学未来城市学院,北京 100083;
    2.北京科技大学 资源与安全工程学院,北京 100083
  • 出版日期:2025-12-10 发布日期:2026-05-14
  • 通讯作者: 王雷鸣(1991—),男,山东潍坊人,博士研究生,教授,研究方向:采矿工程科研教学,电子邮箱:ustb_wlm@126.com。
  • 作者简介:李希雯(1989—),女,江西景德镇人,硕士研究生,助理研究员,研究方向:本科教学管理。
  • 基金资助:
    教育部第二批新工科研究与实践项目“依托学科优势的传统工科专业人才培养体系改革与实践”(E-ZYJG20200204); 北京科技大学研究生发展基金教育创新研究项目“科研端口前移背景下的矿业新工科研究生培育新模式探索与实践”(2025JGC022)

Exploration on the Cultivation Mode of Mining Postgraduates under the Background of Research Front-Loading and New Engineering Construction

LI Xiwen1, WANG Leiming2, YIN Shenghua2   

  1. 1. School of Future Cities, University of Science and Technology Beijing, Beijing, 100083, China;
    2. School of Resource and Safety Engineering, University of Science and Technology Beijing, Beijing, 100083, China
  • Online:2025-12-10 Published:2026-05-14

摘要: 面对国家科技竞争与矿业智能化转型需求,科研端口前移与新工科建设形成双轮驱动,推动矿业研究生培养从知识传承向创新能力重塑转型。该文解析其政策动因与人才新特征,提出协同机制构建、场景课程重构、产学研平台搭建及多维评价体系设计4条路径,构建前沿嵌入、场景驱动、链式融合新范式,以培养支撑矿业高质量发展所需的复合型创新人才。

关键词: 科研端口前移, 新工科, 矿业, 研究生教育, 智能化转型, 培育路径

Abstract: Confronted with national technological competition and the demands of intelligent transformation in the mining industry, research front-loading and the development of new engineering constraction serve as dual drivers, promoting the transformation of mining postgraduate education from knowledge transmission to innovation capacity rebuilding. This paper analyzes the policy motivations and identifies new talent characteristics, proposing four major pathways: establishing collaborative mechanisms, restructuring scenario-driven curricula, building industry-university-research platforms, and designing multidimensional evaluation systems. These efforts form a new cultivation paradigm characterized by frontier embedding, scenario-driven innovation, and chain integration, aimed at cultivating compound innovative talents to support high-quality development in the mining sector.

Key words: Research front-loading, New engineering, Mining engineering, Graduate education, Intelligent transformation, Cultivation pathways

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