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作 者:陈亮 Chen Liang
出 处:《南京社会科学》2025年第2期130-144,共15页Nanjing Journal of Social Sciences
基 金:国家社科基金教育学一般项目“新型研究型大学赋能区域可持续发展的逻辑构架与协同机制研究”(BIA240111)的阶段性成果。
摘 要:人工智能作为数字社会知识生产模式转型的关键变量,重塑新型研究型大学弥散式知识生产链条与人机协同的科教融汇新范式,使得大学更好回应全球共同利益、努力实现高水平科技自立自强、实现校城有序互动。人工智能推动的知识生产模式转型能够驱动新型研究型大学从单学科线性标准迈向超学科的知识集群化智慧网络,并以此建构超学科性、有组织性、可持续性的品格特征。基于此,新型研究型大学重构“理念蜕变、知识交融、组织创新、主体协同”四位一体、四轮驱动的运行机理,回应数字浪潮下知识生产模式的颠覆性创新,进一步根据数字内源驱动、人机主轴支撑、算力外部推进等维度设计多层动力机制,打造开放包容、虚实融合的知识创新生态。Artificial intelligence,as a key variable in the transformation of knowledge production models in the digital society,is reshaping the diffuse knowledge production chains and humanmachine collaborative integration of science and education within new research universities.This transformation enables universities to better address global common interests,strive for high-level scientific and technological self-reliance,and achieve orderly interactions between universities and cities.The AI-driven transformation of knowledge production models propels new research universities to evolve from linear,single-discipline standards toward interdisciplinary,clustered intelligent knowledge networks,thereby constructing characteristics of interdisciplinarity,organizational integration,and sustainability.Based on this,new research universities reconstruct a four-dimensional,four-driving-wheel operational mechanism encompassing“conceptual transformation,knowledge integration,organizational innovation and subject collaboration”to respond to the disruptive innovations in knowledge production models brought about by the digital wave.Furthermore,they design multilayered dynamic mechanisms based on dimensions such as digital endogenous drivers,human-machine axis support,and computational power-driven external advancements,creating an open,inclusive,and seamlessly integrated knowledge innovation ecosystem.
关 键 词:新型研究型大学 人工智能 知识生产模式 品格特质 运行机理
分 类 号:G646[文化科学—高等教育学]
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