Title :
Towards Semantically Enriched E-learning Assessment: Ontology-Based Description of Learning Objects
Author :
Romero, Lucila ; Gutierrez, Milagros ; Caliusco, Laura
Author_Institution :
Fac. de Ing. y Cienc. Hidricas, Univ. Nac. del Litoral, Santa Fe, Argentina
Abstract :
The aim of this paper is to present the progress done in the development of an ontology network, named AONet that conceptualizes the e-assessment domain and supports the semi-automatic generation of assessment. Particularly, this paper is focused on ontology-based description of assessment as an educational resource, including the mappings between metadata standard specifications. The hypothesis of this work is that a proper description of assessment resources improves its location and retrieval by educators, learners and software systems and favors reuse and collaborative work.
Keywords :
computer aided instruction; medical administrative data processing; meta data; ontologies (artificial intelligence); AONet; e-assessment domain; educational resource; learning objects description; metadata standard specifications; ontology network; semantically enriched e-learning assessment; semiautomatic assessment generation; Context; Electronic learning; Instruments; Ontologies; Open Access; Semantic Web; Standards; e-assessment; ontology matching; ontology network;
Conference_Titel :
Advanced Learning Technologies (ICALT), 2014 IEEE 14th International Conference on
Conference_Location :
Athens
DOI :
10.1109/ICALT.2014.236