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    人工智能助力素养生成:内在逻辑与实现路径

    Artificial Intelligence Facilitating Competence Generation: Internal Logic and Realization Path

【作      者】:

王振华, 于泽元


【关 键 词 】:

人工智能; 素养生成; 复杂情境; 交互


【栏      目】:

理论探讨


【中文摘要】:

在人工智能广泛应用于教育的背景下,探讨人工智能如何促进学生素养生成是教育研究关注的焦点。学生与复杂情境相遇是素养生成的前提,人工智能在搭建复杂情境上具有巨大的优势,它将在创设吸引学生融入的物理情境、建构学生自主参与的社会情境、激发个体心智运作的内部情境上整合协调发挥作用,从而形塑人工智能助力素养生成的逻辑理路。在教学实践中,人工智能助力素养生成可以参照以下路径:从学习主题出发,搭建复杂情境;以大观念为线索,整合学习内容;注重集体建构,激发学生自主参与;开展情境化学习,助推素养生成。


【英文摘要】:

In the context of artificial intelligence being widely used in education, exploring how artificial intelligence can contribute to students' competence generation is a focus of educational research. Students' encounter with complex contexts is a prerequisite for competence generation. Artificial intelligence has great advantages in building complex contexts, and it will play an integrated and coordinated role in creating physical contexts to attract students' integration, constructing social contexts for students' independent participation, and stimulating internal contexts for individuals' mental operation, thus shaping the logical path for artificial intelligence to facilitate competence development. In teaching practice, the following paths can be followed for AI-assisted competence generation: building complex contexts starting from learning themes; integrating learning contents by using big ideas as clues; focusing on collective construction and stimulating students' independent participation; developing contextualized learning and promoting competence generation.

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