通过链接开放数据实现内容序列的自动学习

R. Manrique
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引用次数: 4

摘要

技术支持的终身学习范式正在重新定义我们的学习方式,以及我们搜索和消费网络上不断增长的信息语料库以获取特定主题知识的方式。本研究解决了寻找和组织学习内容的问题,以支持自主学习者通过搜索、选择和排序网络内容来实现学习目标,这些内容可能被认为是学习资源,也可能不是。我们计划建立一个自动过程,由属于关联开放倡议的数据集和开放的非结构化信息(如课程大纲和书籍目录)中的可用知识驱动。我们提出的服务有两个主要组成部分:(i)一个相互关联的学习概念图,从中可以推断出在学习过程中哪些概念必须在其他概念之前首先解决(先决条件关系),以及(ii)一个基于学习目标和学习者概况创建学习资源序列的组件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards automatic learning content sequence via linked open data
The paradigm of lifelong learning supported by technology is redefining the way we learn as well as the way we search and consume the ever growing corpus of information available in the Web to acquire knowledge on a particular subject. This research addresses the problem of finding and organizing learning content to support self-directed learners in achieving a learning goal through the search, selection and sequencing of Web content that might or might not have been conceived as learning resources. We plan to build an automatic process driven by the knowledge available in datasets belonging to the Linked Open Initiative and open non-structured information such as courses syllabi and books table of contents. Our proposed service have two main components: (i) a graph of interrelated learning concepts from which is possible infer what concepts must be addressed first before others in the learning process (prerequisite relationships), and (ii) a component for the creation of learning resources sequences based on a learning goal and a learner profile.
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