论人工智能与人口变迁对师范教育的深层影响与应对逻辑
On the Deep Impact of Artificial Intelligence and Demographic Changes on Teacher Education and the Logic of Response
摘要: 人工智能技术革命与少子化人口结构变迁,正在对师范教育系统构成前所未有的双重外部冲击。本文旨在超越表层的“挑战与机遇”论述,深入剖析这两股力量如何相互交织,从需求规模、能力结构、培养范式、组织形态四个维度解构其对师范教育系统的深层影响机制。研究指出,双重冲击的本质是驱动系统从“规模扩张”的工业化范式向“精益卓越”的生态化范式转型。在此基础上,提出“系统性重构”的应对核心逻辑,并构建一个包含“精准供给–素养重构–流程再造”三位一体的转型路径框架,旨在为师范教育在变局中主动塑造未来提供理论参照与实践指引。
Abstract: The technological revolution of artificial intelligence and the demographic shift towards an aging and shrinking population are exerting unprecedented dual external pressures on the teacher education system. This paper aims to go beyond the superficial discussion of “challenges and opportunities” and deeply analyze how these two forces interweave, deconstructing their profound impact mechanisms on the teacher education system from four dimensions: demand scale, ability structure, training paradigm, and organizational form. The research indicates that the essence of the dual shock is to drive the system to transform from an “industrialized” model of scale expansion to an “ecological” model of lean excellence. On this basis, the core logic of “systemic reconstruction” is proposed, and a transformation path framework consisting of “precise supply-competency reconstruction-process reengineering” is constructed, aiming to provide theoretical reference and practical guidance for teacher education to proactively shape its future in the changing landscape.
参考文献
|
[1]
|
张靖, 李树华, 郑新. 智能时代师范生培育: 底层逻辑、现实挑战与进路选择[J]. 电化教育研究, 2025, 46(8): 121-128.
|
|
[2]
|
吴斓, 王阿习, 董艳. 职前教师人机协同教学设计能力培养实证研究——基于自我生成教学理论视角[J]. 电化教育研究, 2024, 45(12): 105-112.
|
|
[3]
|
郑文, 王玉. 人工智能时代职前教师教育的应然走向: 角色重塑与路径重构[J]. 高教探索, 2024(6): 57-63.
|
|
[4]
|
吴砥, 桂徐君, 白钧溢, 等. 教育领域人工智能伦理框架: 演进脉络与构建原则[J]. 电化教育研究, 2026, 47(1): 40-49, 58.
|
|
[5]
|
常甜, 马早明. 被编码的课程: 算法逻辑支配下的课程本体异化与再定义[J]. 电化教育研究, 2026, 47(1): 99-105.
|
|
[6]
|
姜星海, 薛喜慧. 人工智能时代下少子化对中国教育的影响[J]. 河北师范大学学报(教育科学版), 2025, 27(4): 19-29.
|
|
[7]
|
何沛芸, 黄斌. 我国少子化进程中基础教育的战略应对[J]. 中国教育学刊, 2024(10): 8-15.
|