[email protected]

现代社会科学研究

Modern Social Science Research

您当前位置:首页 > 精选文章

Modern Social Science Research. 2026; 6: (6) ; 10.12208/j.ssr.20260214 .

Research on the innovative models and practical approaches of artificial intelligence empowering traditional cultural education in higher vocational colleges
人工智能赋能高职传统文化教育的模式创新与实践路径研究

作者: 金秋莹 *

上海闵行职业技术学院 上海

*通讯作者: 金秋莹,单位:上海闵行职业技术学院 上海; ;

引用本文: 金秋莹 人工智能赋能高职传统文化教育的模式创新与实践路径研究[J]. 现代社会科学研究, 2026; 6: (6) : 107-112.
Published: 2026/6/17 11:00:08

摘要

人工智能技术的飞速发展给高职传统文化教育带来新契机。本文以五年一贯制高职语文教学为研究对象,研究人工智能赋能传统文化教育的职教模式创新。通过分析当前人工智能在传统文化教育中的应用现状,发现存在技术融合浅表化、教学方法单一固化、教师数字素养不足及评价体制滞后等问题。针对这些问题,从教学内容重构、教学方法创新、师资能力提升和评价机制优化四个维度提出改进策略,构建“人工智能+传统文化”深度融合的职教新模式。试点院校的实践表明,该模式能有效激发学生学习传统文化的积极性,提升其语文综合应用能力与文化认同感,同时也有利于促进教师教学理念转变与技术水平提高,对推动高职语文教学改革及人工智能与职业教育、传统文化深度融合具有积极意义。

关键词: 人工智能;传统文化教育;职教模式创新;实践路径

Abstract

The rapid advancement of artificial intelligence (AI) technology presents new opportunities for traditional Chinese culture education in higher vocational colleges. Taking the five-year integrated program of Chinese language teaching as a case study, this paper explores innovative vocational education models that leverage AI to enhance traditional culture education. An analysis of current applications of AI in traditional culture education reveals challenges such as superficial technological integration, rigid and monotonous teaching methodologies, insufficient digital literacy among teachers, and outdated evaluation systems. To address these issues, the study proposes improvement strategies across four dimensions: reconstructing teaching content, innovating pedagogical approaches, enhancing faculty capabilities, and optimizing assessment mechanisms—thereby establishing a deeply integrated “AI + Traditional Culture” vocational education model. Pilot implementations demonstrate that this model effectively boosts students’ motivation to learn traditional culture, enhances their comprehensive Chinese language proficiency and cultural identity, and simultaneously facilitates shifts in teachers’ instructional philosophies and technical competencies. The approach holds significant promise for advancing reforms in higher vocational Chinese teaching and fostering deeper integration among AI, vocational education, and traditional Chinese culture.

Key words: Artificial intelligence; Traditional culture education; Innovation in vocational education Models; Practical pathways

参考文献 References

[1] 严崔. 人工智能视域下中华优秀传统文化融入学前教育专业群建设的创新路径研究[J]. 现代职业教育, 2026, (05): 13-16.

[2] 张煜梅, 颜莺. 生成式人工智能赋能语文教学的四层级实践路径[J]. 中学语文教学参考, 2025, (48): 14-17.

[3] 吴珺琴. 人工智能时代中华优秀传统文化课程的数字化转型路径研究[J]. 知识窗(教师版), 2025, (10): 120-122.

[4] 冠瑛, 许曼. 曲阜师范大学 人工智能赋能中华优秀传统文化课程群建设[N]. 中国教师报, 2025-10-29 (006).

[5] 徐君萍, 王嘉慧, 徐峰. 人工智能赋能高职院校中华优秀传统文化教育路径研究[J]. 时代报告(奔流), 2025, (09): 105-107.

[6] 姜萍萍. 人工智能赋能高校教师传统文化课程创新教学研究[J]. 中原文化和旅游, 2025, (12): 194-196.

[7] 成积春, 许曼. 新文科背景下人工智能赋能中华优秀传统文化教育探赜[J]. 新文科理论与实践, 2025, (02): 47-56+126.

[8] 吕海霞. 人工智能赋能高校传统文化教育的创新路径与实现机制研究[J]. 中国成人教育, 2025, (11): 53-60.

[9] 赵鲁华, 崔孟荣, 苏春建. 人工智能赋能高校优秀传统文化育人的实践路径[J]. 教育信息技术, 2025, (Z1): 71-74.

[10] 王新宏, 朱定局. 人工智能赋能高校传统文化教育的理论维度和模式转换[J]. 韩山师范学院学报, 2022, 43 (01): 99-102.

[11] 张佳文. 文化基因识别与智能推荐:基于人工智能的中华优秀传统文化教育内容优化策略[J]. 科教文汇, 2025 (06): 38-42.