生成式人工智能赋能中小学作业设计的机制及实现路径

    The mechanisms and implementation pathways of Generative Artificial Intelligence empowering the design of primary and secondary school homework

    • 摘要: 在教育教学领域深入实施“人工智能+”行动背景下,中小学作业设计迎来新的发展机遇。生成式人工智能赋能下的中小学作业,在设计层面可以实现从“统一预设”到“个性生成”的转变,在实施层面可以推动从“被动完成”到“主动探究”的转型,在评价层面可以完成从“结果评判”到“过程赋能”的升级。为此,构建了“目标—内容—形式—评价”四位一体的核心赋能机制模型,并为其配备了以“数据—协同—个性”为基础支撑的驱动体系。在实践层面,可以通过强化政策支持、构建智能作业平台、培育复合型教师队伍和优化多元主体建构生态等途径,系统化地推动中小学作业的数字化转型。

       

      Abstract: Against the background of in-depth implementation of the “AI+” initiative in education and teaching, homework design for primary and secondary school ushers in new development opportunities. Empowered by Generative Artificial Intelligence, school homework achieves a shift from unified preset design to personalized generation at the design stage, drives the transition from passive completion to active exploration at the implementation stage, and realizes the upgrade from result evaluation to process empowerment at the assessment stage. Accordingly, this study establishes a four-in-one core empowerment mechanism model covering objectives, contents, forms, and evaluation, and builds a driving system supported by data, collaboration and personalization. Practically, we can systematically advance the digital transformation of primary and secondary school homework by strengthening policy support, building intelligent homework platforms, fostering interdisciplinary teaching staff and optimizing the multi-stakeholder ecological system.

       

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