ALOCOM: a generic content model for learning objects

Abstract

e-Learning organizations are focusing heavily on learning content reusability. The ultimate objective is a learning object economy characterized by searchable digital libraries of reusable learning objects that can be exchanged and reused across various learning systems. To enable such approach, basic questions of learning content interoperability need to be addressed. This paper investigates the interoperation of learning content defined according to different specifications. A number of content models are reviewed that define learning objects and their components. On the basis of a comparative analysis, the content models are mapped to a generic model for learning objects to address interoperability questions and to enable share and reuse on a global scale.

Testuliburuetatik domeinu-modulu eleaniztunak eraikitzen

“…Domeinu-modulua sortzea zaila bada, are zailagoa da domeinu-modulua era automatikoan edo erdiautomatikoan erauztea, dokumentu elektronikoetatik edo corpusetatik abiatuta. Egiteko horren inguruan argitaratu diren lanak, gainera, domeinu-modulu elebakarretara mugatuta daude [8,9,10,11,12,13]. Euskararen kasuan, DOM-Sortze inguruneak ahalbidetzen du Testuliburuetatik domeinu-modulu eleaniztunak eraikitzen domeinu-moduluak sortzea.…”

The Learning Object Triangle

“…It also enables reasoning and enhanced personalisation. In ALOCOM [9] ontologies have been introduced successfully to enhance reusability, whereas in another system the LOM was extended with ontology-based semantic annotations for meaningful interactions with learning objects [8]. Semantic technologies were also used to promote a process-oriented approach to metadata; reasoning over learner-LO interactions was seen as a basis for adaptive environments [1].…”

Learning Analytics in Linked Open Online Courses

“…This includes ALOCOM for describing learning objects and their structure [12], DCMI Metadata Terms 1 for representing metadata of learning resources, FOAF (Friend of a Friend) for describing users and their social relations [13], [14], and the SIOC ontology (Semantically-Interlinked Online Communities) for representing forums discussions [15]. Using these ontologies results in utilizing Semantic Web technologies for storing data (RDF 2 ), and retrieving and updating data (SPARQL 3 ) as well as facilitates the exchange and reuse of information across different applications.…”