远程教育杂志2026，Vol.44Issue(2)：11-21,29,12.DOI:10.15881/j.cnki.cn33-1304/g4.2026.02.002
科技教育大模型构建机理与实践进路
Mechanisms and Practical Pathways of Large Language Models in Science and Technology Education—With a Discussion of Paradigm Shift under the Integration of Education,Science and Technology,and Talent
摘要
Abstract
The integrated strategy of education,science and technology,and talent has imposed systemic requirements for transforming the cultivation of scientific and technological talent,from knowledge transmission to paradigm innovation.Generative arti-ficial intelligence provides a key driving force for this transformation.However,an inherent epistemological tension exists between its general probabilistic generation mechanisms and the empirical rigor emphasized in science and technology education.From the strate-gic perspective of the"trinity"and following the isomorphic logic of"technology(knowledge)—education(method)—talent(thinking),"this study systematically examines large language models for science and technology education,delineating its core connotations and establishing a characteristic framework.On this basis,it elucidates the internal mechanisms for developing specialized models through multimodal interdisciplinary knowledge-graph mapping,the integration of heuristic instructional strategies,and alignment with cogni-tive laws.Furthermore,it proposes practical pathways across three dimensions-field empowerment,action coordination,and iterative feedback-to promote paradigm shift in talent cultivation through virtual-real integrated environments,human-machine collaborative teaching,and evidence-based competency evaluation.This study provides a theoretical framework and practical guidance for building a digital-intelligence educational ecosystem that integrates science and education while strengthening the foundation for talent devel-opment.关键词
科技教育/大模型/生成式人工智能/育人范式转型/人机协同/教育科技人才一体化Key words
Science and technology education/Large language models/Generative artificial intelligence/Talent cultivation paradigm shift/Human-machine collaboration/Integration of education,science and technology,and talent分类
社会科学引用本文复制引用
刘智,李栋,龙陶陶,刘三女牙..科技教育大模型构建机理与实践进路[J].远程教育杂志,2026,44(2):11-21,29,12.基金项目
2024年国家自然科学基金重点项目"面向智慧教育的多模态模型构建方法"(项目编号:62437002)、2023年国家自然科学基金面上项目"融合情绪感知与归因推理的异步讨论多策略组合干预方法研究"(项目编号:62377016). （项目编号:62437002）
