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Claudia Badell
Regina Motz, Claudia Badell, Martín Barrosa, Rodolfo Sum, Gabriel Díaz y Manuel Castro
Volume 4, Number 3 Pags. 223-229
Title- LooKIng4LO. Information System for automatic extraction of Learning Objects, a study case.
Abstract- Reducing the production costs associated with digital materials in the e-Learning area is a imperative need. One of the followed strategies is to build didactical materials as modular and reusable components, called digital Learning Objects (LO). Their most important advantage is their ability for integrating easily with other more complex LO to build didactical units or complete courses. In this work we present our experience using the LookIng4LO tool, for the automatic extraction of LO and show a general description of the tool. A part of the experience was done for a course in Industrial Communications Networks, a subject in the third course of the Industrial Technical Engineering career, in UNED (Universidad Nacional de Educación a Distancia).
Index Terms- e-Learning, Learning Objects, Metadata extraction and generation, *atural Language processing, Ontology, SCORM, Semantic annotation.
Regina Motz, Claudia Badell, Martín Barrosa y Rodolfo Sum
Volume 5, Number 2 Pags. 49-55
Title- Learning Object Extraction with Pedagogical Design Metadata
Abstract- The generation of digital objects is a costly task and also there are very few tools that support the extraction of learning objects from existing digital materials. In this paper we present the general architecture of a system to extract learning objects from digital material, such as for example HTML pages or Word documents. One of the main features of the proposal is that objects are annotated with metadata generated according to the characteristics of instructional design.
Index Terms- Learning Object Metadata, Natural Language Processing