Computational models for mobile and ubiquitous second language learning
by Gerardo Ayala, Rosa G. Paredes, Sergio Castillo
International Journal of Mobile Learning and Organisation (IJMLO), Vol. 4, No. 2, 2010

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.

Online publication date: Fri, 09-Apr-2010

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Mobile Learning and Organisation (IJMLO):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com