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Open Access Article

International Journal of Education. 2025; 7: (6) ; 30-33 ; DOI: 10.12208/j.ije.20250217.

Research on the integration path of talent training in architectural colleges under the artificial intelligence era
人工智能时代背景下建筑类院校人才培养融合路径研究

作者: 孙鹤源 *

北京建筑大学 北京

*通讯作者: 孙鹤源,单位:北京建筑大学 北京;

发布时间: 2025-06-22 总浏览量: 21

摘要

在人工智能时代,全球化进程加速和“一带一路”倡议推进的背景下,建筑行业对涉外法律人才的需求不断增长,传统法律教育模式亟待升级。结合时代背景,本研究聚焦于人工智能时代建筑类院校“新文科”建设与涉外法治人才培养的融合路径。首先分析“新文科”建设的内涵及法律科技的最新发展趋势,其次评估建筑行业对涉外法治人才的需求,剖析传统法律教育体系的不足,随后围绕AI+法律科技这一趋势提出课程改革方案,包括:法律科技赋能“新文科”教育改革的新模式,推动跨学科教学体系创新;构建智能法律数据库应用框架,提高法律教学的智能化和实践性;结合“一带一路”法律服务需求,探索校企协同育人的有效路径。

关键词: 人工智能;新文科;法律科技;建筑类院校;涉外法治人才;智能法律数据库

Abstract

In the era of artificial intelligence, amid accelerating globalization and the advancement of the Belt and Road Initiative, the construction industry is witnessing a growing demand for foreign-related legal professionals. Traditional legal education models are in urgent need of reform. Against this backdrop, this study focuses on the integration path between "New Liberal Arts" development and the cultivation of foreign-related legal talent in architecture-focused universities. It begins by analyzing the connotation of the "New Liberal Arts" and the latest trends in legal technology. It then evaluates the construction industry's demand for foreign-related legal professionals and identifies the shortcomings of conventional legal education systems. In response to the AI + legal technology trend, the study proposes curriculum reform strategies, including: new models of legal tech-driven reform in "New Liberal Arts" education to promote interdisciplinary teaching; the construction of an intelligent legal database application framework to enhance the intelligence and practicality of legal education; and the exploration of effective school-enterprise collaborative talent training paths tailored to the legal service needs of the Belt and Road Initiative.

Key words: Artificial intelligence; New liberal arts; Legal technology; Architecture universities; Foreign-related legal talent; Intelligent legal database

参考文献 References

[1] 张伟.“新文科”背景下法学教育改革研究[J]. 高等法学教育研究, 2023(2): 33–42.

[2] Surden, H. . Machine Learning and Law. Washington Law Review[J], 2014, 89: 87–115.

[3] 陈云良. 法律与人工智能的融合:可能、边界与规范路径[J]. 法商研究, 2021, 38(5): 3–15.

[4] 罗培新. 法律科技的边界与路径——兼论“AI+法律”的中国语境[J]. 法学研究, 2020, 42(4): 3–20.

[5] Armour, John, and Jeffrey N. Gordon. Regulatory Arbitrage and Corporate Law."Columbia Law Review[J], 2019,118 (5): 125-142.

[6] 韩大元. “新文科”背景下法学教育的创新路径[J]. 法学教育研究, 2022(3): 10–19.

[7] 车浩. 从司法改革走向智能法治:法律职业的挑战与重构[J]. 中国法学, 2021(1): 5–28.

[8] 高艳东, 王晓晨. 人工智能对法学教育的冲击与回应[J]. 清华法学, 2020, 14(6): 144–158.

引用本文

孙鹤源, 人工智能时代背景下建筑类院校人才培养融合路径研究[J]. 国际教育学, 2025; 7: (6) : 30-33.