大语言模型应用于图书馆建设未来学习中心的适应性、风险与策略  

Adaptability,Risk and Strategies of Large Language Models in the Construction of Future Learning Centers in Libraries

作　　者：翟羽佳[1] Zhai Yujia

机构地区：[1]中国政法大学图书馆

出　　处：《图书馆学研究》2024年第7期77-85,共9页Research on Library Science

基　　金：中央高校基本科研业务费专项资金资助项目“中国政法大学科研创新项目资助:智慧转型背景下高校图书馆的形象升级研究”(项目编号:10823569)的研究成果之一。

摘　　要：文章运用文献综述和理论建构的方法,探讨了大语言模型在图书馆转型为未来学习中心过程中的适应性、风险与应用策略。通过揭示大语言模型自回归性洞察学习过程、自组织性促进知识构建、提示优化拓展主体间互动以及多模态融合提升学习体验等特质,展现其在未来学习中心的应用优势。同时,识别了大语言模型在学习伦理方面的风险,包括算法对创造力的解构、智能依赖与自主学习的失衡,以及知识伪造的可能性。为应对风险,提出构建面向人-机协同学习关系的服务体系,实现促进人-机创造力联结、激发学习共同体主体性、动态管理智能学习生态以及形成全感知多模态的学习场景等目标,旨在为图书馆建设未来学习中心提供学理依据和实践指导。The paper uses literature review and theoretical construction methods to explore the adaptability,risks,and application strategies of large language models in the process of transforming libraries into future learning centers.By revealing the characteristics of large language models such as autoregressive insight into learning process,self-organization to promote knowledge construction,prompting optimization and expansion of inter-subjective interaction,and multi-modal fusion to enhance learning experience,it demonstrates its application advantages in future learning centers.At the same time,it identifies risks in the learning ethics,including the deconstruction of creativity by algorithms,the balance between intelligent dependence and autonomous learning,and the possibility of knowledge forgery.In order to address these challenges,it proposes to build a service system for human-AI collaborative learning relationships,to promote the connection between human and AI creativity,stimulate the subjectivity of learning communities,dynamically manage intelligent learning ecosystems,and construct fully perceptive multimodal scenarios.The aim is to provide theoretical basis and practical guidance for libraries in the construction of future learning centers.

关 键 词：大语言模型 图书馆转型 未来学习中心 AIGC 人-机协同学习 

分 类 号：G250.7[文化科学—图书馆学]