大数据视域下公安院校智慧教学模式构建与实践  

Big Data-driven Smart Teaching Model Construction and Practical Effect Analysis in Public Security Academies

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作  者:马永坤[1] MA Yongkun(Basic Teaching and Research Department,Chongqing Police College,Chongqing 401331,China)

机构地区:[1]重庆警察学院基础教研部,重庆401331

出  处:《中国人民警察大学学报》2025年第4期74-81,共8页Journal of China People's Police University

基  金:重庆市高等教育教学改革项目“大数据时代公安院校智慧教学的模式与实践”(234124)阶段性成果。

摘  要:公安院校作为培养国家安全和法治人才的基地,面临如何有效利用大数据优化教学模式和提升教学质量的挑战。大数据的应用使得公安院校能够更有效地进行教学评估,通过深入分析数据揭示教学过程不足,进而不断优化智慧教学策略。然而,在推进智慧教学过程中,部分公安院校在一定程度上存在建设理念偏差、人工智能应用水平较低、伦理风险挑战以及教学模式混乱等问题。因此,亟须构建智慧教学模式与技术支撑,包括教学资源优化、个性化学习路径、教师教学支持和教学管理自动化等。通过实践评估,智慧教学模式对于提升教学质量和效率具有显著作用。Public security academies where talents for national security and the rule of law are cultivated,are facing the challenge of how to effectively utilize big data to optimize teaching models and improve the quality of education.The application of big data enables these academies to conduct teaching evaluations more effectively,revealing deficiencies in the teaching process through in-depth data analysis,and continuously optimizing teaching strategies.However,in the process of promoting smart teaching,public security academies are also facing a series of issues,including the deviation of construction concepts,the low level of artificial intelligence application,ethical challenges,and chaotic teaching models.To address these issues,it is necessary to construct a multi-dimensional framework and technical support,including the optimization of teaching resources,personalized learning paths,teacher instructional support,and the automation of teaching management,to achieve the construction of smart teaching models.The evaluation of the practice shows that smart teaching models have a significant positive impact on improving the quality and efficiency of teaching.

关 键 词:大数据 公安院校 智慧教学 模式构建 

分 类 号:G643[文化科学—高等教育学]

 

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