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作 者:刘宏伟 季莹[1] 高雨[1] 王晓丹 LIU Hongwei;JI Ying;GAO Yu;WANG Xiaodan
机构地区:[1]哈尔滨工业大学图书馆,黑龙江哈尔滨150001
出 处:《大学图书馆学报》2024年第4期5-12,共8页Journal of Academic Libraries
摘 要:大学的使命和任务在发展中不断地变化和丰富,但人才培养作为大学的中心任务并没有发生变化。大学图书馆为大学人才培养提供了强有力的学术资源支持,促进了知识传承与创新,推动了学生自主学习与研究能力的提升。人工智能,特别是大语言模型技术可以基于个性化需求对学术资源进行再加工,突破学术资源的传统使用模式,丰富学习资源,改变呈现方式和组织模式,提升图书馆学术资源的使用成效和学生的学习效率。结合图书馆的学术资源优势和人工智能等新一代信息技术发展和应用趋势,立足高校图书馆支撑人才培养的使命,以学生学习为中心,学习和发展成效为驱动,提出了改变图书馆服务模式、学术资源组织模式和使用方式,支撑学生开展个性化学习的设想和思路。The goals and functions of universities are constantly evolving,yet talent cultivation as the core task of universities has remained unchanged.University libraries play an important role in this endeavor by offering robust academic resource support,promoting knowledge dissemination and innovation,and improving students'independent learning and research capacities.The advent of artificial intelligence,particularly Large Language Model(LLM)technology,offers the potential to refine and restructure academic resources based on personalized needs.This innovation can go beyond the traditional paradigm of academic resource use,make learning materials more diverse,change the way resources are presented,and improve the efficiency of library resource utilization and student learning outcomes.This paper analyzes the shortcomings of contemporary university libraries in supporting student learning,including limited course-related resources,lack of initiative in library learning support services,inaccurate student learning profiles affecting the accuracy of personalized resource recommendations,imperfect resource organization models that cannot meet students'learning needs,and lack of effective cognitive learning theory integration in resource organization.In response to the above problems,a personalized learning support service system based on artificial intelligence technology is proposed.This system is predicated on students'learning and growth,synergizes with the vast academic resources of libraries,and aligns with the evolution and application trajectories of new generation information technologies such as artificial intelligence.It is anchored in the mission of university libraries to underpin talent cultivation,places students'learning at the core,and emphasizes effectiveness of learning and development as the driving force.This system is based on large language model technology,structured within a“knowledge ability literacy”framework,supported by cognitive learning theory,and guided by cognitive hierarchy models.Its
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