Authors: Gerardo Ayala, Rosa G. Paredes, Sergio Castillo
Addresses: Universidad de las Americas Puebla, Ex Hacienda de Sta. Catarina Martir S/N, San Andres Cholula, Puebla 72820, Mexico. ' Universidad de las Americas Puebla, Ex Hacienda de Sta. Catarina Martir S/N, San Andres Cholula, Puebla 72820, Mexico. ' Universidad de las Americas Puebla, Ex Hacienda de Sta. Catarina Martir S/N, San Andres Cholula, Puebla 72820, Mexico
Abstract: In this paper, we present our proposal of computational models for mobile and ubiquitous language learning (MULL) environments, based on learning approaches, types of awareness and learning scenarios. We consider a second language MULL environment as a personalised, collaborative, situated and lifelong environment. The computational models for our proposal of MULL environments are addressed based on the idea that mobile learning objects are the basic elements for the representation of contents in the domain of second language learning. These models are a personalised model, a collaborative model and an interaction model. The models include a belief representation and management component for learner modelling and a content object reference model that inherits from SCORM a subset of the metadata categories, and extends it with two top level metadata categories.
Keywords: m-learning; mobile learning; second language learning; computational models; learner modelling; answer set programming DLV; SCORM; second languages; ubiquitous learning; lifelong learning; collaboration; personalisation; belief representation; metadata.
International Journal of Mobile Learning and Organisation, 2010 Vol.4 No.2, pp.192 - 213
Published online: 09 Apr 2010 *Full-text access for editors Access for subscribers Purchase this article Comment on this article