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.
large language modellibrary transformationfuture learning centerAIGChuman-AI collaborative learning
万方数据
维普
