Research on Artificial Intelligence Empowering the Teaching of Public Order Policing
The rapid development of artificial intelligence technologies,represented by large models,has not only empowered a wide range of industries but also brought unprecedented op-portunities and challenges to the development of the field of public order policing.This has re-sulted in significant changes in concepts of policing,business processes,and work modes.There-fore,the teaching of public order policing should align with the demands of technological inno-vation in policing and security management.This can be achieved by updating the curriculum through dynamic information integration,personalized content recommendations,and the auto-mated construction of knowledge bases.Innovations in teaching methods can be driven by per-sonalized learning paths,interactive smart classrooms,and data-driven teaching decisions.Fur-thermore,reforms in assessment can be promoted through precise evaluations,diversified assess-ment methods,and long-term evaluation mechanisms.In response to challenges such as limited school resources and investment,teacher qualifications and capabilities,as well as students'ad-aptability and evolving thought processes,the integration of internal and external resources,in-terdisciplinary training,and a gradual progression of courses can be employed.These strategies will ensure the effective implementation of artificial intelligence in the theoretical teaching of public order policing.
Artificial IntelligencePublic Order PolicingPersonalized LearningIntelligent ClassroomTeaching Evaluation
万方数据
维普
