【作 者】：
祝智庭，赵晓伟，沈书生
【关 键 词 】：
融智课堂； AI大模型； 课堂变革； 创新教学法； 智慧课堂
【栏 目】：
理论探讨
【中文摘要】：
当前，AI大模型正以前所未有的方式重塑课堂生态，将AI大模型深度融入课堂教学，已然成为数智时代无法回避的重要议题。研究创新性地提出了融入AI大模型的“融智课堂”这一课堂新形态。作为融创教育的课堂实践场，融智课堂融合了教师、学生、AI大模型的多元互动，通过实时响应与快速迭代，持续共创新知、培育跨界思维、敏捷生成新解决方案，具有群智协作、敏捷协创、策略协定、知能协构、创意协生、思维协拓六大特征。基于五维学习设计视角，研究解析了融智课堂的五大关键要素：融入AI大模型的协同主体、富技术中介、支持多主体交互的活动编列、基于大模型构建的学习场景以及反映数智时代变革的内容脉络，五大要素相互交织，共同构成融智课堂独特的运作模式。为满足不同需求与层次的课堂教学，研究提出融智课堂的基础型、进阶型与高阶型三种灵活配置方案，设计了基于基础配置的问题化学习、基于进阶配置的探究式学习和基于高阶配置的适应性学习，以期为广大教师提供多种可选方案，助力他们引领数智时代课堂教学的深刻变革。
【英文摘要】：
Presently, AI large language models (AI LLMs) are reshaping the classroom ecology in an unprecedented way, and deeply integrating AI LLMs into classroom has become an important issue that cannot be avoided in the era of digital intelligence. This study innovatively proposes a new classroom form called "convergent intelligence classroom" that incorporates AI LLMs. As a classroom practice field for convergence education, the convergent intelligence classroom is an innovative classroom form that integrates multiple interactions among teachers, students and AI LLMs. Through real-time response and rapid iteration, it continuously co-creates new knowledge, cultivates cross-border thinking, and swiftly generates new solutions. It has six characteristics of group intelligence collaboration, agile co-creation, strategic agreement, knowledge and ability co-construction, creative co-generation, and thinking co-expansion. From the perspective of five-dimensional learning design, this study analyzes the five key elements of the convergent intelligence classroom: collaborative subjects integrated with AI LLMs, rich technology intermediaries, activity scheduling supporting multi-agent interactions, learning scenarios constructed based on large models, and content context reflecting the changes of the digital intelligence era. The five elements are intertwined and together constitute the unique operating mode of the convergent intelligence classroom. In order to meet the different needs and levels of classroom teaching, this study proposes three flexible schemes for the convergent intelligence classroom, Including problem-based learning based on the basic configuration, inquiry-based learning based on the advanced configuration, and adaptive learning based on the high-level configuration, in order to provide teachers with multiple optional schemes and help them lead the profound transformation of classroom teaching in the era of digital intelligence.