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.
Abstract
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.
维普
万方数据