基于Agent的大学环境下学习资源库的适应性研究
Learning Repository Adaptibility in an Agent-Based University Environment
摘要：
自动化电子学习系统（AeLS）是全球当代教育理念的基础。它已成为一个标准，不仅支持正式课程，但包含社交平台功能，游戏化元素和功能，促进专家社区，也为更快的知识传播。此外，AeLS支持内部通信和可定制的分析和方法，以快速识别学习绩效，这反过来又可以用作反馈，以实现定制内容管理的适应性，以满足特定的个人需求。补充材料和交流的AeLS内容的快速增长的量与已经巨大的材料在大学图书馆存档相结合，是巨大的，需要通过电子仓库复杂的管理。内容管理系统（CMS）的这种集成提出了挑战，这些挑战可以通过使用通过基于代理的系统实现的分布式管理来最佳地解决。本文描述了一个基于集成智能代理的高校信息系统（IABUIS）的成功实现。
英文摘要：
Automated e-Learning Systems (AeLS) are fundamental to contemporary educational concepts worldwide. It has become a standard not only in support to the formal curriculum, but containing social platform capabilities, gamification elements and functionalities fostering communities of experts, also for faster knowledge dissemination. Additionally, AeLSs support internal communications and customizable analytics and methodologies to quickly identify learning performance, which in turn can be used as feedback to implement adaptability in tailoring the content management to meet specific individual needs. The volume of fast growing AeLS content of supplement material and exchanged communication combined with the already huge material archived in the university libraries is enormous and needs sophisticated managing through electronic repositories. Such integration of content management systems (CMS) present challenges which can be solved optimally with the use of distributed management implemented through agent-based systems. This paper depicts a successful implementation of an Integrated Intelligent Agent Based University Information System (IABUIS).
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
