|
|
Vocational Education 2025
数智赋能：如何构建未来职业教育新范式
|
Abstract:
本文深入探讨了人工智能(AI)在职业教育中的应用与影响，特别是AIGC (生成式人工智能)技术的最新成果及其对职业教育未来的助力。通过分析人工智能的发展范式，详细介绍AIGC的技术原理与创新优化，指出AIGC技术作为新质生产力的代表，正引领职业教育向智能化、个性化方向发展。文章通过实证研究，验证了AIGC在职业教育中的有效性，并细化应用场景，提供实践方案，强调AIGC技术在“学生成长”、“教师发展”和“教育变革”中的重要作用，如何助力职业教育新未来的前景。
This paper deeply discusses the application and influence of artificial intelligence (AI) in vocational education, especially the latest achievements of AIGC (generative artificial intelligence) technology and its help for the future of vocational education. By analyzing the development paradigm of artificial intelligence, this paper introduces the technical principle and innovation optimization of AIGC in detail, and points out that AIGC technology, as a representative of new quality productivity, is leading the development of vocational education to intelligent and personalized direction. Through empirical research, this paper verifies the effectiveness of AIGC in vocational education, refines the application scenarios, provides practical solutions, emphasizes the important role of AIGC technology in “student growth”, “teacher development” and “education reform”, and how to help the new future prospects of vocational education.
| [1] | GOV. UK (2021) New Ten-Year Plan to Make the UK a Global Al Superpower. https://www.gov.uk/government/news/new-ten-year-plan-to-make-britain-a-global-ai-superpower |
| [2] | The White House (2023) National Artificial Intelligence Research and Development Strategic Plan. The White House, 1-39. |
| [3] | 王春兰, 王铁铮, 王婷婷. 人工智能行业应用现状及对未来人类社会发展的思考[J]. 江苏通信, 2024, 40(2): 107-110. |
| [4] | 中华人民共和国国务院. 新一代人工智能发展规划[EB/OL]. https://www.gov.cn/zhengce/content/2017-07/20/content_5211996.html, 2017-07-20. |
| [5] | Nilsson, N.J. (1998) Artificial Intelligence: A New Synthesis. Morgan Huffman Publishers, 8-9. |
| [6] | 尼克. 人工智能简史[M]. 北京: 北京邮电出版社, 2017. |
| [7] | 彭涛, 刘畅. 人工智能概论[M]. 北京: 清华大学出版社, 2023. |
| [8] | 李钰靖. 发展新质生产力背景下技能劳动力需求特征及职业教育供给思路——基于人工智能劳动介入的研究视角[J]. 中国职业技术教育, 2024(15): 13-24. |
| [9] | Harnad, S. (1990) The Symbol Grounding Problem. Physica D: Nonlinear Phenomena, 42, 335-346. https://doi.org/10.1016/0167-2789(90)90087-6 |
| [10] | Towell, G.G. and Shavlik, J.W. (1994) Knowledge-Based Artificial Neural Networks. Artificial Intelligence, 70, 119-165. https://doi.org/10.1016/0004-3702(94)90105-8 |
| [11] | Brooks, R.A. (1991) Intelligence with Outreason. Proceedings of the 12th International Joint Conference on Artificial Intelligence, Sydney, 24-30 August 1991, 569-595. |
| [12] | 黄美灵. “工匠精神”下现代学徒制学生培养质量评价体系构建[J]. 湖北工业职业技术学院学报, 2019, 32(6): 21-27. |
| [13] | 王冲, 王娟. AIGC视域下终身教育智慧学习空间的概念特征与推进路径[J]. 成人教育, 2024, 44(12): 54-61. |
