SALO - Sharable Auto-adaptive Learning Object

Ignacio Gutiérrez Menéndez, Mª del Puerto Paule Ruiz, Juan Ramón Pérez Pérez


New pervasive computing scenarios such as ubiquitous learning (u-learning) and mobile learning (m-learning) demands real time adaptation. Getting such adaptation couldn’t be possible with the current technologies. It is necessary a change in the development of pervasive e-learning systems using dynamic technologies and including them in both: platforms and e-learning content specifications. In this paper we define and develop the concept of Sharable Auto-Adaptive Learning Object (SALO) like a Learning Object which includes content and describe its behaviour thanks to dynamic languages. Such features allow it to change and include new resources and behaviour, in a dynamic way and using the user’s context at 'anytime, anywhere, from any device'.


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Paper Citation

in Harvard Style

Gutiérrez Menéndez I., del Puerto Paule Ruiz M. and Ramón Pérez Pérez J. (2011). SALO - Sharable Auto-adaptive Learning Object . In Proceedings of the 7th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-8425-51-5, pages 387-390. DOI: 10.5220/0003303103870390

in Bibtex Style

author={Ignacio Gutiérrez Menéndez and Mª del Puerto Paule Ruiz and Juan Ramón Pérez Pérez},
title={SALO - Sharable Auto-adaptive Learning Object},
booktitle={Proceedings of the 7th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},

in EndNote Style

JO - Proceedings of the 7th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - SALO - Sharable Auto-adaptive Learning Object
SN - 978-989-8425-51-5
AU - Gutiérrez Menéndez I.
AU - del Puerto Paule Ruiz M.
AU - Ramón Pérez Pérez J.
PY - 2011
SP - 387
EP - 390
DO - 10.5220/0003303103870390