人工智能时代公安院校刑事科学技术实验教学 改革与探索

Reforming and Exploring Criminal Science and Technology Experimental Teaching in Public Security Colleges in the Era of Artificial Intelligence

  • 摘要: 随着云计算、大数据、认知科学和机器学习的迅猛发展,以人工智能(AI)为代表的信息技术在教育领域的 应用不断深化,以 ChatGPT 为代表的生成式人工智能(AIGC)对教育领域产生了显著影响。刑事科学技术是公安 技术一级学科下的二级学科,具有鲜明的公安特色,是维护社会治安、打击暴力犯罪的重要手段。人工智能时代, 刑事科学技术的教学体系,尤其是实验教学正面临智慧化转型,突出体现在学生信息系统应用能力的培养方面。本 文分析了刑事科学技术信息化建设的驱动力,剖析了人工智能对刑事科学技术教学产生的影响,提出了人工智能时 代刑事科学技术教学改革的路径。为专业课程建设,尤其是实验教学改革提供了具体路径

     

    Abstract: The rapid development of cloud computing, big data, cognitive science, and machine learning have led to the deepening application of information technology, particularly artificial intelligence (AI), in education. Generative artificial intelligence (AIGC), exemplified by ChatGPT, has significantly impacted the educational field. Criminal science and technology, a second-level subject under the first-level subject of public security technology, is characterized by its importance in maintaining social security and combating violent crimes. In the era of artificial intelligence, the teaching system of criminal science and technology, especially experimental teaching, is undergoing intelligent transformation, emphasizing the cultivation of students' application abilities in information systems. This paper analyzes the driving force behind the information construction of criminal science and technology, examines the influence of artificial intelligence on criminal science and technology teaching, and proposes a path for the reform of criminal science and technology teaching in the era of artificial intelligence. It provides a concrete framework for the construction of professional courses, particularly focusing on the reform of experimental teaching methodologies.

     

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