远程教育杂志2025，Vol.43Issue(1)：19-32,45,15.DOI:10.15881/j.cnki.cn33-1304/g4.2025.01.003
教育研究的硅基样本
Silicon-Based Samples in Educational Research:Technological Approaches Based on Large Language Models
摘要
Abstract
The rapid development of large language models(LLMs)has created unprecedented opportunities for innovation in educational research methodologies.This study examines the application of LLM-driven silicon-based samples in educational research,offering a comprehensive exploration of their theoretical foundations,implementation strategies,and potential impacts.The research begins by analyzing the theoretical mechanisms that support silicon-based samples,focusing on the broad acquisition of world knowledge by LLMs,the natural emergence of cognitive abilities,and the simulation of theory of mind capabilities.Building on these foundations,the study identifies three key technological approaches for implementing silicon-based samples in educational research,including virtual sampling,digital twinning,and social simulation,and provides practical frameworks for their application.To assess the feasibility of silicon-based samples,an exploratory case study was designed,simulating virtual interviews with educators from diverse professional backgrounds and varying levels of technological proficiency.The case study preliminarily confirms the feasibility of silicon-based samples in educational research and demonstrates their effectiveness in capturing the heterogeneity of educational groups.The study also explores the profound impact silicon-based samples have on knowledge production models in educational research,while addressing potential methodological risks,such as confirmation bias,model collapse,and challenges related to ecological validity.Looking to the future,educational research may undergo a"cyborgization"process,unlocking new avenues for exploration through human-machine collaboration and reshaping the paradigms and boundaries of educational research.关键词
硅基样本/大模型智能体/虚拟抽样/数字孪生/社会模拟/教育研究方法Key words
Silicon-based samples/Large language model agents/Virtual sampling/Digital twinning/Social simulation/Educational research methods分类
社会科学引用本文复制引用
刘泽民,陈向东..教育研究的硅基样本[J].远程教育杂志,2025,43(1):19-32,45,15.基金项目
本文系2023年全国教育科学规划一般课题"基于大语言模型的青少年人工智能教育研究"(项目编号:BCA230276)、中央高校基本科研业务费专项资金资助项目(项目编号:YBNLTS2024-030)的阶段性研究成果. （项目编号:BCA230276）
