远程教育杂志2025，Vol.43Issue(2)：103-112,10.DOI:10.15881/j.cnki.cn33-1304/g4.2025.02.011
大语言模型驱动的IPCRF框架:课堂问答数字化分析的创新与实践
A Large language Model-Driven IPCRF Framework:Innovations and Practices in the Digital Analysis of Classroom Questioning and Responding
摘要
Abstract
Amid the ongoing digital transformation of education,the digital evaluation of classroom instruction has become a key focus of reform efforts.Questioning and responding,as fundamental instructional practices,present pressing challenges in terms of digitalization,objectivity,and automation.Drawing on tripartite dialogue theory,the present study introduces the IPCRF(Initiate-Prepare-Call-Response-Feedback)analytical framework,which comprises five interactive components:teacher initiation,student preparation,teacher calling,student response,and teacher feedback.A detailed analytical approach based on this framework is also proposed.Furthermore,the framework is applied to a comparative study of expert and novice teachers delivering mathematics lessons with identical instructional designs;and the differences between these two groups,including questioning strategies,styles,cognitive depth,and response patterns,are investigated.Based on the findings,this study proposes several approaches to optimize classroom question-answer interactions,including refining questioning strategies with a focus on core competencies,designing cognitively pro-gressive question sequences,and balancing time allocation between active engagement and reflective thinking.This research not only offers a practical framework for the digital analysis of classroom questioning and responding,but also demonstrates its applicability through empirical case analysis,thereby providing new insights and approaches for promoting teacher professional development.关键词
大语言模型/课堂问答/IPCRF/分析框架Key words
Large language model/Classroom questioning ancl responding/IPCRF/Analytical framework分类
社会科学引用本文复制引用
孙发勤,王雯..大语言模型驱动的IPCRF框架:课堂问答数字化分析的创新与实践[J].远程教育杂志,2025,43(2):103-112,10.基金项目
本文系江苏省社科基金年度项目"GenAI驱动的跨学科探究式教学:模式构建与实证研究"(项目编号:24JYB013)的研究成果. （项目编号:24JYB013）
