Abstract
Pervasive learning systems must define new mechanism to deliver the right resource, at the right time, at the right place to the right learner. This means that rich context information has to be considered: time, place, user knowledge, user activity, user environment and device capacity. As context is based on numerous information which may change frequently (coming from a collection of captors), a more aggregate view is defined to work on more abstract objects: the situations. Context information and situation information have to be widespread into all the models of learning systems: context preferences have to be handled in the learner model, well-adapted situation and situation scenarios have to be memorized in learning resource model. The adaptation process is enriched too.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Anagnostopoulos, C.B., Ntarladimas, Y., Hadjiefthymiades, S.: Situation Awareness: Dealing with Vague Context. In: ACS/IEEE International Conference on Pervasive Services (2006)
Barbosa, D.N.F., Augustin, I., Barbosa, J.L.V., Yamim, A.C., da Silva, L.C., Fernando, C., Geyer, R.: Learning in a large-scale pervasive environment. In: Pervasive Computing and Communications Workshops (2006)
Bouzeghoub, A., Defude, B., Duitama, F., Lecocq, C.: A Knowledge-Based Approach to Describe and Adapt Learning Objects. InternationalJournal on E. Learning 5(1), 95–102 (2006)
Chen, H., Finin, T., Joshi, A.: An Ontology for Context-Aware Pervasive Computing Environments. Special Issue on Ontologies for Distributed Systems, Knowledge Engineering Review 18, 197–207 (2004)
Falk, J.H., Dierking, L.D.: Lessons without Limit: How free-choice learning is transforming education. AltaMira Press, Walnut Creek, California (2002)
Kirsch-Pinheiro, M., Gensel, J., Martin, H.: Representing Context for an Adaptative Awareness Mechanism. In: de Vreede, G.-J., Guerrero, L.A., Marín Raventós, G. (eds.) CRIWG 2004. LNCS, vol. 3198, pp. 339–348. Springer, Heidelberg (2004)
Lemlouma, T., Layaïda, N.: Context-Aware Adaptation for Mobile Devices. In: IEEE International Conference on Mobile Data Management, Berkeley, CA, USA, pp. 106–111 (2004)
Weißenberg, N., Gartmann, R., Voisard, A.: An Ontology-Based Approach to Personalized Situation-Aware Mobile Service Supply. Geoinformatica Journal, 55–90 (2006)
Ranganathan, A., Campbell, R.H.: An infrastructure for context-awareness based on first-order logic. Personal and Ubiquitous Computing 7, 353–364 (2003)
Rosa, G.P.J., Ogata, H., Yano, Y.: A multi-Model Approach for Supporting the Personalization of Ubiquitous Learning Applications. In: IEEE International Workshop on Wireless and Mobile Technologies in Education, pp. 40–44 (2005)
Sharples, M., Taylor, J., Vavoula, G.: A Theory of Learning for the Mobile Age. In: Andrews, R., Haythornthwaite, C. (eds.) The Sage Handbook of Elearning Research, pp. 221–247. Sage, London (2007)
Schilit, B., Adams, N., Want, R.: Context-Aware Computing Applications. In: Proc. Workshop on Mobile Computing Systems and Applications, Santa Cruz, CA, US
Specht, M., Kravcik, M.: Authoring of Learning Objects in Context. International Journal on E-Learning 5(1), 25–33 (2006)
Thomas, S.: Pervasive, persuasive eLearning: modeling the pervasive learning space. In: Proceedings of the 3rd Int’l Conf. on Pervasive Computing and Communications Workshops (2005)
Yang, S.J.H., Huang, A.F.M., Chen, H.R., Tseng, S.-S., Shen, Y.-S.: Context Model and Context Acquisition for Ubiquitous Content Access in ULearning Environments. In: Proc. of the IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing, vol. 2, pp. 78–83 (2006)
Yau, S.S., Liu, J.: Hierarchical Situation Modeling and Reasoning for Pervasive Computing. SEUS-WCCIA, pp. 5–10 (2006)
MobiLearn final report (version 2003), http://www.mobilearn.org/
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bouzeghoub, A., Do, K.N., Lecocq, C. (2007). A Situation-Based Delivery of Learning Resources in Pervasive Learning. In: Duval, E., Klamma, R., Wolpers, M. (eds) Creating New Learning Experiences on a Global Scale. EC-TEL 2007. Lecture Notes in Computer Science, vol 4753. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75195-3_36
Download citation
DOI: https://doi.org/10.1007/978-3-540-75195-3_36
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-75194-6
Online ISBN: 978-3-540-75195-3
eBook Packages: Computer ScienceComputer Science (R0)