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Prerequisites between learning objects: Automatic extraction based on a machine learning approach

机译:学习对象之间的先决条件:基于机器学习方法的自动提取

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摘要

One standing problem in the area of web-based e-learning is how to support instructional designers to effectively and efficiently retrieve learning materials, appropriate for their educational purposes. Learning materials can be retrieved from structured repositories, such as repositories of Learning Objects and Massive Open Online Courses; they could also come from unstructured sources, such as web hypertext pages. Platforms for distance education often implement algorithms for recommending specific educational resources and personalized learning paths to students. But choosing and sequencing the adequate learning materials to build adaptive courses may reveal to be quite a challenging task.
机译:基于网络的电子学习领域中的一个常备问题是如何支持教学设计人员有效,高效地检索适合其教育目的的学习材料。可以从结构化的资料库中检索学习资料,例如学习对象资料库和大规模在线公开课程资料库;它们也可能来自非结构化来源,例如网络超文本页面。远程教育平台通常采用算法向学生推荐特定的教育资源和个性化的学习途径。但是,选择适当的学习材料并对其进行排序以构建适应性课程可能显示出相当艰巨的任务。

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