人工智能赋能劳育:人工智能时代小学劳动课程的实践进路
AI‑Empowered Labor Education: Practical Approaches to the Elementary School Labor Curriculum in the Age of Artificial Intelligence
摘要: 人工智能正在重构着社会的生产方式,在此时代背景下劳动教育的战略地位日益凸显。调查研究现状表明,小学劳动教育未能有效回应智能技术对劳动形态的变革,导致学生出现认知偏差与劳动能力弱化的问题。小学劳动课程也陷入了注重形式而忽视内涵、侧重技能而轻视思维的实践困境,具体表现为课程内容与智能时代的劳动实践脱节;教学方式以机械模仿为主;评价机制忽略过程发展。因此,本研究聚焦于人工智能融入小学劳动课程的实践路径,旨在推动课程转向素养培育。其核心在于构建价值引领与技术赋能相协同的融合机制,既为培养适应智能社会的创新型人才提供可操作的实践范式,也切实将“以劳树德、以劳增智、以劳强体、以劳育美”的五育融合目标落到实处,从而助力基础教育高质量发展。
Abstract: Artificial intelligence is reshaping social modes of production, and against this backdrop, the strategic importance of labor education has become increasingly prominent. Survey findings indicate that elementary school labor education has not effectively responded to the transformations in labor forms brought about by intelligent technologies, resulting in students’ cognitive biases and weakened practical labor competencies. Moreover, the elementary school labor curriculum has fallen into a practical dilemma that emphasizes form over substance and skills over thinking. This is manifested in the disconnection between curricular content and labor practices in the intelligent era, teaching methods dominated by mechanical imitation, and evaluation mechanisms that overlook process and development. Therefore, this study focuses on practical pathways for integrating artificial intelligence into the elementary school labor curriculum, aiming to steer the curriculum toward competency‑oriented cultivation. The core lies in constructing a synergistic mechanism that combines value guidance with technological empowerment. This not only provides an actionable paradigm for cultivating innovative talents adapted to an intelligent society but also effectively implements the five‑education integration goals—fostering morality, enhancing intelligence, strengthening physique, and cultivating aesthetic sensibilities through labor—thereby contributing to the high‑quality development of basic education.
参考文献
|
[1]
|
陈娴, 易骏. 人工智能时代小学劳动课程建设的价值意蕴及实践路向[J]. 教学与管理, 2025(26): 29-33.
|
|
[2]
|
刘伟兵. 作为未来教育的劳动教育: 人工智能时代的劳动教育研究[J]. 国家教育行政学院学报, 2024(6): 62-71.
|
|
[3]
|
吴晓蓉, 李竹欣. 人工智能时代劳动教育的应变与坚守[J]. 当代教育论坛, 2024(3): 66-74.
|
|
[4]
|
Mishra, P. and Koehler, M.J. (2006) Technological Pedagogical Content Knowledge: A Framework for Teacher Knowledge. Teachers College Record: The Voice of Scholarship in Education, 108, 1017-1054. https://doi.org/10.1111/j.1467-9620.2006.00684.x
|
|
[5]
|
何佑石, 顾建军. 智能时代劳动教育的价值意蕴、现实挑战与实践指向[J]. 国家教育行政学院学报, 2024(11): 58-68.
|
|
[6]
|
申亚妹. 智能时代学校劳动课程建设: 新内涵、新挑战与新路向[J]. 天津师范大学学报(基础教育版), 2025, 26(5): 62-66.
|
|
[7]
|
陈云. AI时代的数智治理: 如何平衡“价值理性”和“工具理性”? [J]. 科技导报, 2026, 44(7): 18-30.
|
|
[8]
|
黄宣桦. 革变·识变·应变: 人工智能时代学校劳动教育的重构[J]. 湖南科技大学学报(社会科学版), 2024, 27(5): 170-176.
|
|
[9]
|
张应强, 唐宇聪. 立足“教育”抑或立足“劳动”?——对两种通行劳动教育观的审思[J]. 华东师范大学学报(教育科学版), 2024, 42(6): 38-50.
|
|
[10]
|
雷玲, 郝丹娜. 从技术僭越到人本复归: 人工智能时代劳动教育的价值转向[J]. 广西社会科学, 2025(6): 106-114.
|
|
[11]
|
尤莉娟, 陈鹏. “有限”中的“无限”: 人工智能在劳动教育中的应用向路[J]. 教育理论与实践, 2023, 43(28): 10-15.
|
|
[12]
|
王洋, 顾建军. 智慧劳动教育: 智能时代劳动教育内涵与发展[J]. 电化教育研究, 2023, 44(3): 78-83.
|
|
[13]
|
乐晓蓉, 樊熙奇. 智能时代劳动变革与劳动教育的实践理路[J]. 思想理论教育, 2023(1): 99-105.
|