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大语言模型增强科学探究实践的交互框架研究OA

Research on The Interactive Framework of Large Language Models to Enhance Scientific Inquiry Practices

中文摘要英文摘要

探究实践是培养学生科学核心素养的关键途径,但当前中小学科学课堂中普遍存在探究"轻过程"、缺乏个性化指导等问题,制约了学生的发展,而大语言模型凭借其强大的自然语言理解、多模态感知与交互能力,能够为科学探究实践提供全方位的支持.基于此,文章构建了包括学生、教育智能体与教师三元主体的大语言模型增强科学探究实践的交互框架,从行为、认知与情感交互三个层面详细阐述了学生在教育智能体支持的科学探究实践中的交互模式和应用方式,并通过一个典型案例呈现该交互框架的教学应用场景,以期为科学探究实践范式创新提供新的思路.

Inquiry practice is a key approach to cultivating students'core scientific literacy,however,in current primary and secondary school science classrooms,there are common problems such as"neglecting the process"and a lack of personalized guidance,which restricts students'development.Large language models,with their powerful natural language understanding,multimodal perception and interaction capabilities,can provide comprehensive support for science exploration practice.Based on this,this paper proposed a interactive framework of large language models to enhance scientific inquiry practice,which involved three agents of students,pedagogical agents,and teachers.It elaborated on students'interaction patterns and application methods within science inquiry practices supported by pedagogical agents,from the perspectives of behavioral,cognitive,and emotional interactions.Furthermore,a typical case was used to demonstrate the teaching application scenario of this framework,aiming to offer novel insights for the paradigm innovation of science inquiry practice.

尉文琪;徐光涛

杭州师范大学 教育现代化研究院,浙江 杭州 311121杭州师范大学 教育现代化研究院,浙江 杭州 311121

社会科学

大语言模型科学探究实践交互框架教育智能体

large language modelsscience inquiry practicesinteraction frameworkpedagogical agents

《现代教育技术》 2026 (3)

53-61,9

本文为全国教育科学规划2024年度国家一般项目"大语言模型增强中学生科学探究实践的路径和机制研究"(项目编号:BCA240049)的阶段性研究成果.

10.3969/j.issn.1009-8097.2026.03.006

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