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生成式人工智能的兴起对生产生活产生了颠覆性冲击,确保学生具备能够适应这种遽变的生成式人工智能素养变得愈发重要。通过梳理推演理解智能技术辅助自身学习的“反应式”人工智能素养、应用智能工具提升学习效率的“判别式”人工智能素养以及适应智能社会扩展学习本身的“生成式”人工智能素养的概念演变脉络,构建了包含“认知系统”“实践系统”“视角系统”的要素层级以及指向“知识与理解”“运用与实施”“评估与创造”“伦理与安全”进阶水平的生成式人工智能素养综合概念框架。生成式人工智能素养要求学生具备底层技术的基础知识与包容自觉的公民意识、驾驭提示工程的应用技能与特定任务的指令微调能力、掌握人类对齐的道德判断与伦理反思的应用规范能力。基于此,研究从政策观、培育观、课程观和评估观四个层面提出了生成式人工智能素养的综合提升路径:架构生成式人工智能教育应用的指导框架,构建从基础到进阶的层次化素养培育路径,开发软硬技能融合的跨学科项目实践课程,设计多维分层的生成式人工智能素养综合评价体系。
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基本信息:
DOI:10.13927/j.cnki.yuan.20250319.001
中图分类号:G434;TP18
引用信息:
[1]孙立会,周亮.生成式人工智能素养:概念演变、框架构建与提升路径[J].现代远距离教育,2025,No.217(01):11-21.DOI:10.13927/j.cnki.yuan.20250319.001.
基金信息:
国家社会科学基金2023年度教育学重大课题攻关项目“数字教育形态研究”(编号:VCA230011)