Sharing Linkable Learning Objects with the use of Metadata and a Taxonomy Assistant for Categorization
This work addresses the problem of interoperability and reuse of learning content for e-learning platforms, though it appears incremental as it builds on existing systems and tools.
The authors redesigned the Moodledata module to enable sharing of linkable learning objects between e-learning platforms like Moodle and G-Lorep, incorporating metadata to support reuse and classification, and using AI techniques such as semantic similarity to enhance automated taxonomy assistance.
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.