Computational models for mobile and ubiquitous second language learning
Source: International Journal of Mobile Learning and Organisation, Volume 4, Number 2, 9 April 2010 , pp. 192-213(22)
Publisher: Inderscience Publishers
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.
Document Type: Research Article
Affiliations: 1: Universidad de las Americas Puebla, Ex Hacienda de Sta. Catarina Martir S/N, San Andres Cholula, Puebla 72820, Mexico. 2: Universidad de las Americas Puebla, Ex Hacienda de Sta. Catarina Martir S/N, San Andres Cholula, Puebla 72820, Mexico
Publication date: April 9, 2010
- As mobile devices are gradually converging into Individual Information Centres, mobile learning becomes a viable learning channel that would fit the living style of today. International Journal of Mobile Learning Organisation is a refereed, multidisciplinary journal for bridging the latest advances in mobile learning and organisation. It provides a global forum for presenting authoritative references, academically rigorous research and case studies. The journal publishes well-written and academically validated manuscripts in both theoretical development and applied research.
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