A Mechanism to Support Context-Based Adaptation in M-Learning

  • Estefanía Martín
  • Rosa M. Carro
  • Pilar Rodríguez
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4227)


In this paper we present a mechanism that supports the generation and management of adaptive mobile learning systems. Such systems are accessed by students and teachers for the accomplishment of diverse individual or collaborative learning activities. The main aim is for the systems to suggest the most suitable activities to be tackled by a given user in a specific context (location, idle time, devices). The basis of this mechanism, as well as an example of the context-based adaptation carried out for three different users in a specific scenario, are presented.


Group Model Idle Time Logical Gate Collaborative Activity Mobile Learning 
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  1. 1.
    Ktoridou, D., Eteokleous, N.: Adaptive m-learning: technological and pedagogical aspects to be considered in Cyprus tertiary education. In: Recent Research Developments in Learning Technologies, Formatex, Badajoz, Spain, pp. 676–683 (2005)Google Scholar
  2. 2.
    Alfonseca, E., Carro, R.M., Martín, E., Ortigosa, A., Paredes, P.: The Impact of Learning Styles on Student Grouping for Collaborative Learning: A Case Study. User Modeling and User Adapted Interaction. Special issue on User Modeling to Support Groups, Communities and Collaboration (in press)Google Scholar
  3. 3.
    Brusilovsky, P.: Adaptive hypermedia. In: Kobsa, A. (ed.) User Modeling and User Adapted Interaction, vol. 11(1/2), pp. 87–110 (2001)Google Scholar
  4. 4.
    Conlan, O., Brady, A., Wade, V.: The Multi-model, Metadata-driven Approach to Content and Layout Adaptation. In: W3C Workshop on Metadata for Content Adaptation, Dublin, Ireland, October 12-13 (2004)Google Scholar
  5. 5.
    Carro, R.M., Ortigosa, A., Schlichter, J.: A Rule-based Formalism for Describing Collaborative Adaptive Courses. In: Palade, V., Howlett, R.J., Jain, L. (eds.) KES 2003. LNCS (LNAI), vol. 2774, pp. 252–259. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  6. 6.
  7. 7.
    IEEE International Workshops on Wireless and Mobile Technologies in Education, http://lttf.ieee.org/wmte2002/, http://lttf.ieee.org/wmte2003/, http://lttf.ieee.org/wmte2005/
  8. 8.
    IADIS International Conference Mobile Learning, http://www.iadis.org/ml2005, http://www.adis.org/ml2006
  9. 9.
    Dey, A.: Providing Architectural Support for Building Context-Aware Applications. Ph. D. Thesis, Department of Computer Science, Georgia Institute of Technology, Atlanta (2000)Google Scholar
  10. 10.
    Yau, S.S., Karim, F.: An Adaptive Middleware for Context-Sensitive Communications for Real-Time Applications in Ubiquitous Computing Environment. Real Time Systems 26, 29–61 (2004)MATHCrossRefGoogle Scholar
  11. 11.
    Zimmermann, A., Specht, M., Lorenz, A.: Personalization and Context Management. User Modeling and User-Adapted Interaction 15, 275–302 (2005)CrossRefGoogle Scholar
  12. 12.
    Capuano, N., Gaeta, M., Miranda, S., Pappacena, L.: A system for adaptive platform-independent mobile learning. In: Proceedings of Mlearn 2004, Roma, Italy, pp. 53–56 (2004)Google Scholar
  13. 13.
    Benyon, D.R., Murray, D.M.: Applying user modelling to human-computer interaction design. AI Review 6, 43–69 (1993), www.dcs.napier.ac.uk/~dbenyon/AIReview.pdf Google Scholar
  14. 14.
    Jäppinen, A., Nummela, J., Vainio, T., Ahonen, M.: Adaptive Mobile Learning Systems - The Essential Questions from the Design Perspective. In: Proceedings of Mlearn 2004, Roma, Italy, pp. 109–112 (2004)Google Scholar
  15. 15.
    Kinshuk, Lin, T.: Application of Learning Styles Adaptivity in Mobile Learning Environments. In: Third Pan Commonwealth Forum on Open Learning, Dunedin, New Zealand (2004)Google Scholar
  16. 16.
    Kirsch-Pinheiro, M., Villanova-Oliver, M., Gensel, J., Martin, H.: Context-Aware Filtering for Collaborative Web Systems: Adapting the Awareness Information to the Users Context. In: SAC 2005, pp. 1668–1673. ACM Press, Santa Fe (2005)CrossRefGoogle Scholar
  17. 17.
    Ogata, H., Yano, Y.: Context-aware support for computer-supported ubiquitous learning. In: Proceedings of IEEE International Workshop on Wireless and Mobile Technologies in Education, pp. 27–34. IEEE Computer Society, Taiwan (2004)CrossRefGoogle Scholar
  18. 18.
    Bull, S., Yanchun Cui Robig, H., Sharples, M.: Adapting to Different Needs in Different Locations: Handheld Computers in University Education. Wireless and Mobile Technologies in Education, 48–52 (2005)Google Scholar
  19. 19.
    Martín, E., Andueza, N., Carro, R.M.: Architecture of a System for Context-based Adaptation in M-Learning. In: Kinshuk, Kope, R., Kommers, P., Kirschner, P., Sampson, D.G., Didderen, P. (eds.) Proceedings of the 6th IEEE International Conference on Advanced Learning Technologies (ICALT 2006), pp. 252–254. IEEE Computer Society, Los Alamitos (2006)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Estefanía Martín
    • 1
  • Rosa M. Carro
    • 1
  • Pilar Rodríguez
    • 1
  1. 1.Escuela Politécnica Superior, Universidad Autónoma de MadridMadridSpain

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