人工智能赋能法学教育变革:驱动因素与创新路径  

Changes in Law Education Enabled by Artificial Intelligence:Driving Factors and Innovation Paths

作　　者：孙继文[1] Sun Jiwen(Henan Vocational College of Judicial Police,Zhengzhou,Zhejiang 450018)

机构地区：[1]河南司法警官职业学院,河南郑州450018

出　　处：《陕西青年职业学院学报》2025年第1期79-83,共5页Journal of Shaanxi Youth Vocational College

基　　金：2024年度河南省高等教育教学改革研究与实践项目“工匠实验室模式下大数据专业实践教学育人机制研究”(项目编号:2024SJGLX0711)阶段性研究成果。

摘　　要：传统法学教育面临教学模式单一、实践环节不足、跨学科融合欠缺以及教育细化等问题。在新文科政策背景下,学科交叉融合成为发展趋势。人工智能凭借自然语言处理、机器学习、数据挖掘等技术优势,为法学教育变革提供了强有力的技术支持。基于人工智能技术,法学教育变革呈现出以往不同的路径,涵盖教育理念更新、课程体系优化、教学模式创新、实践实训变革、教育评价体系创新提升等多个方面。此外,政策支持、法律实践和法学自身发展这些因素都驱动和影响着法学教育变革。Traditional legal education is confronted with problems such as monotonous teaching mode,insufficient practical links,lack of interdisciplinary integration,and educational refinement.Under the background of the new liberal arts policy,interdisciplinary integration has become a development trend.With the technical advantages of natural language processing,machine learning,and data mining,artificial intelligence provides strong technical support for the transformation of legal education.Based on artificial intelligence technology,the transformation of legal education presents a completely different new path from before,covering multiple aspects such as the renewal of educational concepts,the optimization of curriculum systems,the innovation of teaching models,the transformation of practical training,and the improvement of educational evaluation systems.In addition,factors such as policy support,legal practice,and the development of law itself all drive and influence the transformation of legal education.

关 键 词：人工智能 法学教育 驱动因素 创新路径 

分 类 号：G642[文化科学—高等教育学] D90-4[文化科学—教育学]