论文标题
使用元数据和分类助理进行分类共享可链接的学习对象
Sharing Linkable Learning Objects with the use of Metadata and a Taxonomy Assistant for Categorization
论文作者
论文摘要
在这项工作中，提出了对loodledata模块功能的重新设计，以在电子学习内容平台（例如moodle and g-lorep）之间以可链接的对象格式共享学习对象。用于学术学习的基于Drupal的内容管理系统G-Lorep的电子学习课程内容正在交换设计一个将元数据纳入元数据的对象，以在其上下文中支持重复使用和分类。在这样的人工智能环境中，可以将可连接的学习对象的交换用于学习系统之间的对话，以获取信息，尤其是使用语义或结构相似性措施来增强现有的分类助理助理进行高级自动化分类。
In this work, a re-design of the Moodledata module functionalities is presented to share learning objects between e-learning content platforms, e.g., Moodle and G-Lorep, in a linkable object format. The e-learning courses content of the Drupal-based Content Management System G-Lorep for academic learning is exchanged designing an object incorporating metadata to support the reuse and the classification in its context. In such an Artificial Intelligence environment, the exchange of Linkable Learning Objects can be used for dialogue between Learning Systems to obtain information, especially with the use of semantic or structural similarity measures to enhance the existent Taxonomy Assistant for advanced automated classification.
