人工智能时代图书馆自适应学习中心的框架构建研究  

Research on the Framework Construction of Library Adaptive Learning Center in the AI Era

作　　者：杨平生[1] Yang Pingsheng(Library of Xi’an University of Architecture and Technology)

机构地区：[1]西安建筑科技大学图书馆,西安710055

出　　处：《图书馆》2020年第12期61-66,共6页Library

摘　　要：自适应学习是智能化学习体系建设的关键技术,在图书馆有良好的落地应用场景,能够推动图书馆从传统学习空间走向智慧型学习中心。图书馆自适应学习框架包括自建的从数据采集处理到学习者画像聚类、学习行为评价与学习路径推荐、学习内容建设与资源推荐、学习效果评估反馈等模块,运用数据驱动的技术使学习成为一种导航式的过程;同时对于空间建设要素及位置管理也有相应的要求。Adaptive learning is the key technology in the construction of intelligent learning system,it has a good application scenario in the library and can promote the library from the traditional learning space to the intelligent learning center.Library adaptive learning framework includes self-built modules from data collection and processing,learner portrait and clustering,learning behavior evaluation and learning path recommendation,learning content construction and resource recommendation,learning effect evaluation feedback and other modules,which makes learning a navigational process by using data-driven technology.At the same time,it also has corresponding requirements for space construction elements and location management.

关 键 词：智慧图书馆 人工智能 自适应学习 学习模型 空间建设 高校图书馆 

分 类 号：G434[文化科学—教育学]