人工智能赋能与重塑：高等教育生态的系统性审视与未来路径
AI Empowerment and Reshaping: A Systematic Examination of the Higher Education Ecosystem and Future Pathways
DOI: 10.12677/ae.2026.1691907, PDF,   
作者: 汤梦颖：浙江工商大学外国语学院，浙江 杭州；沈国琴：浙大城市学院外国语学院，浙江 杭州
关键词: 人工智能；高等教育生态；生态系统理论；未来素养；VUCA时代；Artificial Intelligence； Higher Education Ecosystem； Ecosystem Theory； Futures Literacy； VUCA Era
摘要: 以生成式人工智能为代表的智能技术浪潮正以前所未有的深度与广度渗透至高等教育领域，引发从微观教学实践到宏观教育生态的结构性变革。人工智能的深度应用正在触发师生角色的根本性、非对称性重构。面对日益凸显的VUCA (易变性、不确定性、复杂性、模糊性)时代特征与“科林格里奇困境”(技术控制的两难)，高等教育的未来发展有赖于构建一个以“人本价值”为内核，“人工智能素养”、“未来素养”与“VUCA情境领导力”三者协同共生的动态三角模型。
Abstract: The wave of intelligent technologies, represented by generative artificial intelligence, is penetrating the field of higher education with unprecedented depth and breadth, triggering structural changes from micro-level teaching practices to the macro-level educational ecosystem. The deep application of AI is precipitating a fundamental and asymmetric reconstruction of the roles of teachers and students. Confronted with the increasingly salient characteristics of the VUCA era (Volatility, Uncertainty, Complexity, Ambiguity) and the Collingridge dilemma (the predicament of technological control), the future advancement of higher education depends on the construction of a dynamic literacy triangle model centered on “humanistic value”, which synergistically integrates “AI literacy”, “futures literacy”, and “VUCA situational leadership”.
文章引用：汤梦颖, 沈国琴. 人工智能赋能与重塑：高等教育生态的系统性审视与未来路径[J]. 教育进展, 2026, 16(9): 317-331. https://doi.org/10.12677/ae.2026.1691907

参考文献

[1] Gartner. Gartner 2023年新兴技术成熟度曲线显示生成式AI处于期望膨胀期[EB/OL]. 2023-09-05.
https://www.gartner.com/cn/newsroom/press-releases/gartner-2023-_ai, 2026-08-28.
[2] UNESCO (2023) Guidance for Generative AI in Education and Research. UNESCO Publishing, 1-44.
[3] Latour, B. (2005) Reassembling the Social: An Introduction to Actor-Network-Theory. Oxford University Press, 1-301.
[4] Capra, F. and Luisi, P.L. (2014) The Systems View of Life: A Unifying Vision. Cambridge University Press, 209-320.
https://doi.org/10.1017/cbo9780511895555
[5] Bronfenbrenner, U. (1979) The Ecology of Human Development: Experiments by Nature and Design. Harvard University Press.
[6] Braun, E., Weiss, T. and Seidel, T. (2014) Lernumwelten in der Hochschule. In: Seidel, T. and Krapp, A., Pädagogische Psychologie, 6th Edition, Beltz, 433-453.
[7] Van Lehn, K. (2011) The Relative Effectiveness of Human Tutoring, Intelligent Tutoring Systems, and Other Tutoring Systems. Educational Psychologist, 46, 197-221.
https://doi.org/10.1080/00461520.2011.611369
[8] Ifenthaler, D., Gibson, D. and Dobozy, E. (2020) Informing Learning Design through Analytics: Applying Network Graph Analysis. Australasian Journal of Educational Technology, 34, 117-132.
https://doi.org/10.14742/ajet.3767
[9] Tsai, Y.S., Poquet, O., Gašević, D., Dawson, S. and Pardo, A. (2020) Complexity Leadership in Learning Analytics: Drivers, Challenges and Opportunities. British Journal of Educational Technology, 50, 2839-2854.
https://doi.org/10.1111/bjet.12846
[10] Bearman, M., Ryan J. and Ajjawi, R. (2022) Discourses of Artificial Intelligence in Higher Education: A Critical Literature Review. Higher Education, 3, 1-18.
[11] Selwyn, N. (2024) Digital Degrowth: Toward Radically Sustainable Education Technology. Learning, Media and Technology, 49, 186-199.
https://doi.org/10.1080/17439884.2022.2159978
[12] Williamson, B. (2024) The Social Life of AI in Education. International Journal of Artificial Intelligence in Education, 34, 97-104.
https://doi.org/10.1007/s40593-023-00342-5
[13] Couldry, N. and Mejias, U.A. (2019) The Costs of Connection: How Data Is Colonizing Human Life and Appropriating It for Capitalism. Stanford University Press, 210-228.
[14] Pelletier, K. and Watanabe, A. (2022) KI in der universitären Lehre: Vom Spannungs-zum Gestaltungsfeld. In: Schreiber, G. and Ohly, L., KI: Text: Diskurse über KI-Textgeneratoren, de Gruyter, 26-29.
[15] Schmohl, T., Watanabe, A. and Schrölling, K. (2023) Künstliche Intelligenz in der Hochschulbildung: Chancen und Grenzen des KI-Gestützten Lernens und Lehrens. Transcript Verlag, 161-172.
[16] Koehler, M.J. and Mishra, P. (2005) What Happens When Teachers Design Educational Technology? The Development of Technological Pedagogical Content Knowledge. Journal of Educational Computing Research, 32, 131-152.
https://doi.org/10.2190/0ew7-01wb-bkhl-qdyv
[17] Holmes, W., Persson, J., Chounta, I.A., Wasson, B. and Dimitrova, V. (2022) Artificial Intelligence and Education: A Critical View through the Lens of Human Rights, Democracy and the Rule of Law. Council of Europe Publishing, 73-76.
[18] Nussbaum, M.C. (2010) Not for Profit: Why Democracy Needs the Humanities. Princeton University Press, 95-99.
[19] Zuboff, S. (2019) The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power. Public Affairs, 320-335.
[20] Illingworth, S. (2025) Slowing down AI in Higher Education.
https://www.hepi.ac.uk/2025/10/08/slowing-down-ai-in-higher-education/
[21] Vuorikari, R., Kluzer, S. and Punie, Y. (2022) DigComp 2.2: The Digital Competence Framework for Citizens. Publications Office of the European Union, 39-41.
[22] Miller, R. (2018) Transforming the Future: Anticipation in the 21st Century. UNESCO Publishing, 15-50.
[23] Sippl, C., Brandhofer, G. and Rauscher, E. (2023) Futures Literacy: Zukunft lernen und lehren. Studien Verlag.
[24] Knaus, T. (2023) Künstliche Intelligenz und Bildung: Was sollen wir wissen? Was können wir tun? Was dürfen wir hoffen? Und was ist diese KI? Ludwigsburger Beiträge zur Medienpädagogik, 23, 1-42.
https://doi.org/10.21240/lbzm/23/19
[25] Gartner Inc (2013) Hype Cycle for Emerging Technologies. Gartner Inc, 11.

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