The standards-based architecture of the adaptive learning environment aLFanet

The standards-based architecture of the adaptive learning environment aLFanet
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自适应学习环境 aLFanet 基于标准的架构

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发表时间：
2004
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通讯作者：
Carmen Barrera
Carmen Barrera
中科院分区：
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作者：
O. Santos;J. Boticario;Carmen Barrera

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aLFanet （IST-2001-33288）旨在建立一个自适应的电子学习管理系统，在结合不同类型的适应（如学习路线、服务交互、点对点协作、演示、问卷）的基础上提供个性化的电子学习。它集成了学习设计和人工智能领域的新原理和工具，遵循了教育领域的现有标准（IMS-LD、IMS-CP、IEEE-LOM、IMS-LIP、IMS-QTI）、多代理系统（FIPA）和多平台通信（SOAP、XML、WebDav）。这种对标准的密集使用使得aLFanet在内容、功能、教学设计和学习者配置文件方面都是可重用的。一方面，本系统采用灵活、模块化的设计方式，便于第三方开发的集成。另一方面，尽管课程作者在设计时指定了静态适应，但系统在运行时也提供了动态适应。为了实现这一点，aLFanet包括一个两级多代理体系结构，该体系结构可以自主地解决所需的适应任务。它实现了一种混合方法来构建适应任务所需的模型。该方法结合了基于知识的方法和多智能体体系结构中的机器学习技术。
aLFanet (IST-2001-33288) aims to build an adaptive eLearning management system that provides personalised eLearning based on the combination of different types of adaptation (e.g. learning routes, interactions in services, peer-to-peer collaboration, presentation, questionnaires). It integrates new principles and tools in the fields of Learning Design and Artificial Intelligence, following existing standards in the educational field (IMS-LD, IMS-CP, IEEE-LOM, IMS-LIP, IMS-QTI), multi-agents systems (FIPA) and multiplatform communications (SOAP, XML, WebDav). This intensive use of standards makes aLFanet reusable in terms of contents, functionality, pedagogical designs and learners' profiles. On the one hand, this system is designed in a flexible and modular way, which facilitates the integration of third parties developments. On the other hand, despite the static adaptation specified by the course authors at design time, dynamic adaptation is also provided by the system on runtime. To achieve this, aLFanet includes a two level hierarchy of multi-agent architectures that works autonomously to solve the adaptation tasks required. It implements a hybrid approach to build the models needed for the adaptation tasks. This approach combines knowledge-based methods and machine learning techniques in a multi-agent architecture.