基于反转布鲁姆分类法的高中语文教学人机协同新范式

基于反转布鲁姆分类法的高中语文教学人机协同新范式

舒睿琦

摘 要:人工智能正在重塑教育。本研究阐释了反转布鲁姆分类法的理论内涵及其与语文核心素养的契合性，梳理当前AI融合语文教学的案例经验，并据此设计了包含诗歌创作、思辨写作、文本解读三个板块的教学简案。简案遵循“创造一反思一理解”的“反转布鲁姆分类法”，强调反思性脚注在学习者思维发展过程中的重要作用，旨在推动教学模式由单纯依赖工具生成走向人机协同共生。

关键词:反转布鲁姆分类法;人机协同;高中语文教学;AI素养

A New Human-AI Collaborative ParadigmBased on the Inverted Bloom's Taxonomy in High School Chinese Language and Literature Teaching

 SHU Ruiqi

 (Chongqing No.1 Secondary School, Chongqing 400030)

 Abstract: Artificial intelligence is reshaping education. The research clarifies Inverted Bloom's Taxonomg's theoryand alignment with Chinese core competencies, reviews Al-integration cases, and designs a three-module teachingframework (poetry, critical writing, text interpretation). Following the create -reflect-understand sequence, it highlightsrefective foototes as key to cognitive development, aiming to shift from tool-based generation to human-AI synergy.

KeyWords: Inverted Bloom's Taxonomy; human-AI collaboration; high school Chinese language and literature teaching; AI Literacy

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