曲靖师范学院学报 ›› 2025, Vol. 44 ›› Issue (5): 114-121.

• 教育教学研究 • 上一篇    下一篇

人工智能生成内容赋能云南高校创新教育:逻辑理路、现实困境与实践路径

管理要   

  1. 曲靖师范学院 大学生就业与创新创业指导中心,云南 曲靖 655011
  • 收稿日期:2025-07-30 出版日期:2025-09-26 发布日期:2025-11-05
  • 作者简介:管理要,曲靖师范学院大学生就业与创新创业指导中心讲师,主要从事高等教育管理与大学生就业创业教育研究。
  • 基金资助:
    云南省教育科学规划项目“云南边疆民族地区大学生返乡兴乡人才实践路径研究”(BC25016);云南省教育厅科学研究基金项目(高校毕业生就业研究专项)“校地共生背景下大学生留滇就业和返乡赋能路径探索”(2024JY002);曲靖市社会科学界联合会·曲靖师范学院哲学社会科学联合专项项目“AIGC(人工智能生成内容)助力云南高校创新教育多模态范式革新路径研究”(ZSLH2024YB03);曲靖师范学院教育教学改革项目“‘招生-培养-就业’联动机制创新路径研究——基于省级统筹与高校自主的动态平衡”(2025JG1)。

Artificial Intelligence Generated Content Empowering Innovation Education in Yunnan Universities: Logical Framework, Realistic Dilemmas, and Practical Paths

GUAN Liyao   

  1. Guidance Centre for College Students’ Employment, Innovation, and Entrepreneurship, Qujing Normal University, Qujing Yunnan 655011, China
  • Received:2025-07-30 Published:2025-09-26 Online:2025-11-05

摘要: 在教育强国建设与人工智能技术迅猛发展的双重背景下,人工智能生成内容为高校创新教育注入新动能。聚焦人工智能生成内容赋能云南高校创新教育的范式革新,系统阐述人工智能生成内容赋能教育变革的技术必然性与国家战略层面的逻辑理路,明确了其作为推动教育现代化的核心驱动力。通过对云南高校创新教育现状的深入剖析,识别出教学模式、课程体系、师资能力、产教融合、评价方式及资源均衡六个维度的现实困境,提出了革新教学模式、重构课程内容、赋能教师发展、深化产教融合、创新评价方式、夯实数字基座六大具体路径,为云南高校利用人工智能生成内容破解创新教育难题、培养新质人才提供一套系统性的理论框架与可操作的行动方案。

关键词: 人工智能生成内容, 创新教育, 云南高校, 现实困境, 实践路径

Abstract: Against the dual backdrop of the country's accelerated efforts to build a strong nation in education and the rapid development of artificial intelligence technology, this paper focuses on artificial intelligence-generated content (AIGC) empowers the paradigm shift of innovative education at universities inYunnan . It The technological necessity of Artificial Intelligence Generated Content empowering educational change and the logical reasoning at the national strategic level is systematically studied, and its role as the core driving force for promoting educational modernization is clarified. Through an in-depth analysis of the current state of innovative education at universities in Yunnan, practical difficulties in six dimensionsare identified: teaching models, curriculum systems, faculty capacity, industry-university integration, evaluation methods, and resource balance, and their underlying causesare traced. Six specific pathsare proposed: innovating teaching models, reconstructing course content, empowering teacher development, deepening the integration of industry and education, innovating evaluation methods, and consolidating the digital foundation, providing a systematic theoretical framework and an operational action plan for universities inYunnan to use Artificial Intelligence Generated Content technology to solve innovative education problems and achieve leapfrog development.

Key words: artificial intelligence generated content, innovative education, Yunnan universities, current challenges, practical pathways

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