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首页> 外文期刊>Quality & Quantity: International Journal of Methodology >An architecture of agent-based multi-layer interactive e-learning and e-testing platform
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An architecture of agent-based multi-layer interactive e-learning and e-testing platform

机译：基于代理的多层交互式电子学习与测试平台架构

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摘要

E-learning is the synthesis of multimedia and social media platforms powered by Internet and mobile technologies. Great popularity of e-learning is encouraging governments and educational institutions to adopt and develop e-learning cultures in societies in general and universities in particular. In traditional e-learning systems, all components (agents and services) are tightly coupled into a single system. In this study, we propose a new architecture for e-learning with two subsystems, namely, e-learning and e-testing. The motivation of the research is to improve the effectiveness of the learning process by extracting relevant features for elastic learning and testing process. We employ a multi-agent system because it contains five-layer architecture, including agents at various levels. We also propose a novel method for updating content through question and answer between e-learners and intelligent agents. To achieve optimization, we design a system that applies various technologies, which guarantee various dynamic features for e-learning systems, such as intelligence, distributed nature, adaptive attitude, interaction, accessibility, and security. Agent assisted e- learning enable the users to collect the quantifiable and sensible material; examine, and distribute customized knowledge from multiple e-learning sources. Intelligent agents, being program helper or assistants, are deployed at different levels of abstraction in this architecture to manage information overload and create environment for learners. Moreover, this proposed system is designed by keeping in view several characteristics specific to e-learning system such as interaction, personalization, adaptation, intelligence, interoperability, accessibility and security. The architecture is designed to support instructional design, to retrieve relevant learning materials, to process and analyses data to enable meaningful e-learning recommendations for instructors and learners by considering all issues that existing e-learning architectures don't address. Most of the existing e-learning architectures don't consider all the features in a single system so there is a need for a generic architecture that should support all the features to make the e-learning system more efficient. The outcome of this approach is to provide flexible and lightweight systems for e-learning environments.
机译：电子学习是由互联网和移动技术支持的多媒体和社交媒体平台的综合。电子学习的广泛普及正在鼓励政府和教育机构在整个社会，特别是大学中采用和发展电子学习文化。在传统的电子学习系统中，所有组件（代理和服务）都紧密耦合到单个系统中。在这项研究中，我们提出了一种新的电子学习体系结构，该体系结构包含两个子系统，即电子学习和电子测试。研究的动机是通过提取弹性学习和测试过程的相关特征来提高学习过程的有效性。我们采用多代理系统，因为它包含五层体系结构，包括各个级别的代理。我们还提出了一种通过电子学习者与智能代理之间的问答来更新内容的新颖方法。为了实现优化，我们设计了一种应用各种技术的系统，该技术可保证电子学习系统的各种动态功能，例如智能，分布式特性，适应性态度，交互，可访问性和安全性。代理辅助的电子学习使用户能够收集可量化和明智的材料;检查并分发来自多个电子学习资源的定制知识。在此体系结构中，作为程序帮助程序或助手的智能代理被部署在不同的抽象级别上，以管理信息过载并为学习者创建环境。此外，通过考虑特定于电子学习系统的若干特性（例如交互，个性化，自适应，智能，互操作性，可访问性和安全性）来设计此提议的系统。该体系结构旨在支持教学设计，检索相关的学习材料，处理和分析数据，从而通过考虑现有电子学习体系结构未解决的所有问题为教员和学习者提供有意义的电子学习建议。大多数现有的电子学习体系结构都不会在单个系统中考虑所有功能，因此需要一种通用架构来支持所有功能，以使电子学习系统更高效。这种方法的结果是为电子学习环境提供灵活，轻便的系统。

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