人工智能赋能治安学专业教学研究  

Research on Artificial Intelligence Empowering the Teaching of Public Order Policing

作　　者：张勇[1] 王润生[1] Zhang Yong;Wang Runsheng(People's Public Security University of China,Beijing 100038,China)

机构地区：[1]中国人民公安大学,北京100038

出　　处：《湖北警官学院学报》2024年第6期40-49,共10页Journal of Hubei University of Police

基　　金：中国人民公安大学2024年校级教学研究项目“人工智能赋能治安学专业发展的应用场景研究”(2024JXYJ47)。

摘　　要：以大模型为代表的人工智能技术快速发展,赋能千行百业的同时也给治安学专业发展带来了前所未有的机遇与挑战,治安警务理念、业务流程、工作模式等发生重大变革,治安学专业教学应当结合科技兴警和治安管理创新需求开展教学改革:通过动态化信息整合、个性化内容推荐、自动化知识库构建实现教学内容更新;通过个性化学习路径、互动式智能课堂、数据驱动教学决策推动教学模式创新;通过精准化评估、多元化评价、长期性评价推动教学评价改革;通过校内外资源整合、跨学科培训、课程循序渐进来应对学校资源和投入、教师素质与能力、学生适应能力与思维方式转变的挑战,保障人工智能赋能治安学理论教学落地生效。The rapid development of artificial intelligence technologies,represented by large models,has not only empowered a wide range of industries but also brought unprecedented opportunities and challenges to the development of the field of public order policing.This has resulted in significant changes in concepts of policing,business processes,and work modes.Therefore,the teaching of public order policing should align with the demands of technological innovation in policing and security management.This can be achieved by updating the curriculum through dynamic information integration,personalized content recommendations,and the automated construction of knowledge bases.Innovations in teaching methods can be driven by personalized learning paths,interactive smart classrooms,and data-driven teaching decisions.Furthermore,reforms in assessment can be promoted through precise evaluations,diversified assessment 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'adaptability and evolving thought processes,the integration of internal and external resources,interdisciplinary 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.

关 键 词：人工智能 治安学 个性化学习 智能课堂 教学评价 

分 类 号：D631[政治法律—政治学]