生成式人工智能驱动民办高校教师科研能力跃迁的协同机制构建

生成式人工智能驱动民办高校教师科研能力跃迁的协同机制构建

余育礼 李振祖

（珠海科技学院，广东 珠海，519041）

摘 要：民办高校教师科研能力跃迁普遍受制于科研时间碎片化、研究方法单一化、学术资源有限化的三重现实桎梏，同时叠加科研激励体系不完善、组织支撑体系薄弱的双重制度短板，生成式人工智能的技术革新与场景落地，为破解这一结构性科研困境提供了全新技术路径。但技术势能的充分释放并非单纯依赖工具应用，更亟需建构多维度、系统性、耦合性的协同运行机制。本文立足民办高校教师科研发展的现实困境，系统解构生成式人工智能嵌入科研全流程的应用场景与赋能逻辑，建构涵盖技术嵌入赋能、主体能力进阶、组织体系变革、伦理规范治理的四维协同理论模型，以期实现生成式人工智能对民办高校科研活动的多维流程赋能，为民办高校科研能力跃迁提供学理支撑与实践启示。

关键字：生成式人工智能；民办高校教师；科研能力；协同机制

The Construction of Collaborative Mechanisms for Generative Artificial Intelligence Driving the Leapfrog Development of Private College Teachers' Research Capacity

Yuli Yu Zhenzu Li

（Zhuhai College of Science and Technology, Zhuhai Guangdong, 519041)

Abstract: The leapfrog development of the scientific research capabilities of teachers in private universities is generally constrained by three practical shackles: fragmented research time, monotonous research methods, and limited academic resources. Meanwhile, compounded by the dual institutional shortcomings of an imperfect scientific research incentive system and a weak organizational support system, the technological innovation and scenario implementation of generative artificial intelligence provide a brand-new technological path for breaking through this structural scientific research dilemma. However, the full release of technological potential does not simply rely on tool application; instead, it is in urgent need of constructing amulti-dimensional, systematic, and coupled collaborative operation mechanism. Based on the real-world dilemmas in the scientific research development of teachers in private universities, this paper systematically deconstructs the application scenarios and enabling logics of integrating generative artificial intelligence into the entire scientific research process, and constructs a four-dimensional collaborative theoretical model covering technological embedding and enabling, subject capacity advancement, organizational system transformation, and ethical norm governance. The aim is to achieve multi-dimensional process enabling of scientific research activities in private universities by generative artificial intelligence, and to provide theoretical support and practical inspiration for the leapfrog development of scientific research capabilities in private universities. 

Keywords: Generative artificial intelligence; Private college faculty; Research capacity; Collaborative mechanism

DOI：10.68079/moglkx.2026.3.09   [原文下載][Download PDF]