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Towards Open Corpus Adaptive E-learning Systems on the Web

机译:面向网络上的开放语料库自适应电子学习系统

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Development of conceptual knowledge is an important part of education. In individualized instruction this aim can be facilitated by concept maps interconnected with learning materials. Traditional adaptive web-based e-learning systems use a closed and static corpus, which is predefined in the design time. But there is plenty of learning resources publicly available on the Web, which provide a huge potential for learners. Obviously, it would be very useful to have an opportunity to choose for a particular context a suitable concept map that could dynamically access selected learning repositories and enable an intuitive navigation in both the concept and document layers, as well as between them. We have attempted to develop a solution that is based on the principles of open corpus adaptive educational hypermedia and at the same time can be part of a personal learning environment. The outcomes show that this may be a promising approach, but its usefulness is highly dependent on the usability and flexibility of the e-learning application.
机译:概念知识的发展是教育的重要组成部分。在个性化教学中,可以通过与学习材料互连的概念图来促进此目标。传统的基于Web的自适应网络学习系统使用封闭的静态语料库,该语料库是在设计时预先定义的。但是,网上有大量公开可用的学习资源,为学习者提供了巨大的潜力。显然,有机会对特定上下文选择合适的概念图非常有用,该概念图可以动态访问所选的学习资料库,并可以在概念层和文档层之间以及它们之间进行直观的导航。我们试图开发一种基于开放语料库自适应教育超媒体原理的解决方案,同时也可以成为个人学习环境的一部分。结果表明这可能是一种有前途的方法,但是其有效性在很大程度上取决于电子学习应用程序的可用性和灵活性。

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