Generating adaptive and personalized language learning online courses in Moodle with individual learning paths using templates

Sylvio Rüdian, Niels Pinkwart
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引用次数: 5

Abstract

The adaption of online courses according to the user knowledge is not new, but its application is limited. The major problem is the lack of missing open-source technology to personalize online courses with individual learning paths on a large scale. In this paper, we introduce our open-source framework that allows us to generate adaptive online courses in Moodle. We focus on language learning as an example implementation. Courses are generated based on a knowledge base and several XML templates that allow the generation of interactive tasks using H5P. The novelty of our approach is the application and combination of existing Moodle libraries to generate individual online courses, although they were not designed for that purpose. It is the first working example that supports individual learning paths on a large scale in Moodle. Besides, we provide technical details on how to overcome limiting problems by using Moodle as an LMS.
在Moodle中使用模板生成具有个人学习路径的自适应和个性化语言学习在线课程
根据用户的知识对在线课程进行调整并不是什么新鲜事,但其应用范围有限。主要的问题是缺少开源技术来大规模地个性化在线课程,提供个性化的学习路径。在本文中,我们介绍了我们的开源框架,它允许我们在Moodle中生成自适应在线课程。我们将重点放在语言学习上,作为一个示例实现。课程是基于知识库和几个XML模板生成的,这些模板允许使用H5P生成交互式任务。我们方法的新颖之处在于应用和组合现有Moodle库来生成个人在线课程,尽管它们不是为此目的而设计的。这是第一个在Moodle中大规模支持个人学习路径的工作示例。此外,我们还提供了如何通过使用Moodle作为LMS来克服限制性问题的技术细节。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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