人工智能大模型在我国教育领域的应用现状、问题挑战与实践路径  

Current Status,Problems,Challenges and Practical Paths of the Application of Large-Scale AI Models in China’s Education

作　　者：祝淼 乜勇[1] Zhu Miao;Nie Yong(Faculty of Education,Shaanxi Normal University,Xi'an,Shaanxi,China 710062)

机构地区：[1]陕西师范大学教育学部,陕西西安710062

出　　处：《数字教育》2024年第5期32-37,共6页Digital Education

基　　金：陕西省“十四五”教育科学规划2023年度课题“轻量化信息技术在薄弱中小学校应用策略与实践研究”(SGH23Z0010)。

摘　　要：人工智能大模型的兴起对我国各领域产生了巨大影响,不仅推动了技术产业的进步,也促进了教育事业的繁荣。通过提供个性化学习方案、优化教学资源分配以及辅助教学决策,人工智能大模型展现出巨大潜力,但其在数据处理、技术创新和实践应用中仍面临着数据处理水平不足、用户隐私泄露风险、软硬件实力有待提升、模型优化和泛化能力不足、培训引导缺少等问题。因此,该研究旨在通过加强模型数据处理水平、构建安全保护框架,提升模型性能和稳定性、开发课程培训、完善智能评估系统等多个方面解决难题,以期人工智能大模型在个性化学习、智能辅导和定制化教学中发挥作用。为提升整体教育质量,构建包容、公平的“人工智能+教育”环境提供新思路和新视角,在优化人工智能大模型和深化教育应用的同时,减少智能技术对教育产生的不利影响。The rise of large-scale AI models has had a great impact on various fields in China,which not only promotes the progress of the technology industry,but also promotes the prosperity of education.By providing personalized learning solutions,optimizing the allocation of teaching resources,and assisting in teaching decisionmaking,large-scale AI models show great potential,but they still face problems in data processing,technological innovation,and practical application,such as short of data processing level,the risk of users’privacy leakage,the inadequate strength of software and hardware,insuffi cient capacity of model optimization and generalization,and the lack of training guidance.Therefore,this study aims to solve the problems by strengthening the model data processing level,constructing a security protection framework,improving model performance and stability,developing curriculum training,and improving the intelligent evaluation system in several aspects,so as to enable the large-scale AI models play a role in personalized learning,intelligent tutoring and customized teaching.It will provide new ideas and perspectives for improving the overall quality of education and building an inclusive and fair“AI+Education”environment,and will reduce the negative impacts of smart technologies on education while optimizing the large-scale AI models and deepening their educational applications.

关 键 词：人工智能大模型 个性化学习 定制化教学 智能教育 数据隐私 

分 类 号：G4[文化科学—教育学]