创新创业理论研究与实践 ›› 2026, Vol. 9 ›› Issue (6): 22-24.

• 理论研究 • 上一篇    下一篇

生成式人工智能驱动的高职教师数字素养提升研究

许洁, 陈俊国   

  1. 四川卫生康复职业学院,四川自贡 643000
  • 出版日期:2026-03-25 发布日期:2026-07-01
  • 作者简介:许洁(1995—),女,山西长治人,硕士研究生,研究方向:教育管理和高校行政管理。
  • 基金资助:
    2025年度四川省哲学社会科学重点研究基地四川省教师教育研究中心课题“高职教师职业韧性现状及提升策略研究”(TER2025-023); 四川卫生康复职业学院2025年度校级科研课题“人工智能背景下地方高职学校教师数字素养现状及提升路径”(CWKY-2025AI-01)

Research on Enhancing Digital Literacy of Vocational College Teachers Driven by Generative Artificial Intelligence

XU Jie, CHEN Junguo   

  1. Sichuan Vocational College of Health and Rehabilitation, Zigong Sichuan, 643000, China
  • Online:2026-03-25 Published:2026-07-01

摘要: 该文聚焦生成式人工智能(AIGC)背景下高职教师数字素养的提升,通过分析职业教育数字化转型对教师能力的新要求及生成式AI对教学场景的重塑作用,揭示高职教师在技术应用、资源开发、人机协同与智能技术应用规范意识等方面的能力短板;据此,构建以生成式AI为核心的“评估—干预—实践—优化”四阶段提升机制,涵盖诊断系统、混合培训、全流程实验与数据闭环,为智能时代高职师资队伍建设提供理论框架与实践路径。

关键词: 生成式人工智能, 高职教师, 数字素养, 提升机制, 混合培训, 数据闭环

Abstract: This article focuses on the improvement of digital literacy of vocational college teachers under the background of generative artificial intelligence (AIGC). By analyzing the new requirements for teachers'abilities in the digital transformation of vocational education and the reshaping effect of generative AI on teaching scenarios, it reveals the shortcomings of vocational college teachers'abilities in technology application, resource development, human-machine collaboration, and awareness of intelligent technology application standards; based on this, a four stage improvement mechanism with generative AI as the core, consisting of“evaluation intervention practice optimization”, is constructed, covering diagnostic systems, hybrid training, full process experiments, and data loops, providing a theoretical framework and practical path for the construction of vocational teaching staff in the intelligent era.

Key words: Generative artificial intelligence, Vocational college teachers, Digital literacy, Enhancement mechanism, Mixed training, Data closed loop

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