大模型赋能公安教育数智化转型探索

中图分类号：G642

文献标识码：A DOI：10.16400/j.cnki.kjdk.2026.2.003

The Exploration of Digital Intelligent Transformation of Police Education Enabled by Large Model

XIE Chenxue， SHEN Yifan， SUN Yuanlong （TianJin Police College， Tianjin ）

AbstractTheadvancementoflarge-scale modeltechnology，particularlythe developmentofsuper-large language models representedbyDeepSeek，contributes tothedigitaland intellgent transformationofpublicsecurityeducation.Tisarticle focuses on the strategic needs of digital transformation in public security institutions，systematicall exploring the transformative impact of large models on policing talent cultivation and their technical empowerment pathways.It reveals thetechnicaladvantages oflarge models inconstructing virtual-realintegratedsmart training systems andoptimizingdataintensive teaching decision-making，providing methodological support for deepening practical teaching reforms and narrowing the gap between public security education supplyand industrycapability demands.Byenhancing the agilityof the "large model+" educational ecosystem in institutions，it drives the upgrading of public security education from technical adaptation to model innovationreform，ultimatelyachievingthe strategic goal of integrated "teaching-research-trainingcombat" and cultivating versatile policing talents that meet the requirements of the new era.

eywordslarge models; police education; digital-intelligent transformation

数智化具有数字化与智能化深度融合的特点，代表着信息技术发展的高级阶段。（剩余6497字）