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    人工智能时代的课程逻辑:世界模型与场景学习

    Curriculum Logic in the Age of Artificial Intelligence: World Models and Scenario-based Learning

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【作      者】:

李永智,孙蔷蔷,王玉国


【关 键 词 】:

人工智能; 世界模型; 课程内容; 课程形式; 场景学习


【栏      目】:

理论探讨


【中文摘要】:

人工智能正在深刻改变社会生产生活方式、人才需求模式等,对以知识传递为核心、以学科为本位的传统课程逻辑构成根本性挑战,推动教育目的从“为生产”走向“为生活”。教育的本质是对大脑智能的开发,而人类智能的基石在于构建“世界模型”,课程的根本逻辑应转向支持学习者建构一体化、个性化和迭代化的内在“世界模型”。为此,课程内容需实现从“条块分割”到“整体关联”、从“外部复制”到“内部映射”、从“静态传递”到“动态演化”的三重转变。“场景学习”是建构“世界模型”的最佳路径,以往教育因规模化人才培养需求而过度依赖语言文字系统,当前以人工智能为核心的数字技术为回归真实有效的场景学习提供可能,也为未来课程形态变革指明方向。


【英文摘要】:

Artificial intelligence is profoundly changing the social production, lifestyle and talent demand patterns, posing a fundamental challenge to the traditional curriculum logic centered on knowledge transmission and discipline-based frameworks. This challenge is driving the purpose of education from "preparation for production" toward "preparation for life". The essence of education lies in the development of brain intelligence, and the cornerstone of human intelligence is the construction of a "world model". The fundamental logic of the curriculum should shift toward supporting learners in building an integrated, personalized and iterative internal "world model". To this end, the curriculum content needs to achieve a triple transformation from "fragmentation" to "holistic association", from "external replication" to "internal mapping", and from "static transmission" to "dynamic evolution". "Scenario-based learning" is the best path to construct a "world model". In the past, education systems, constrained by the demand for large-scale talent cultivation, over-relied on the language and writing system. The current digital technologies with artificial intelligence as the core provide the possibility of returning to authentic and effective scenario-based learning, and also point the way for future transformations of curriculum forms.

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