Evaluation of Labor Units of Competency: Facilitating Integration of Disabled People

  • Amparo JiménezEmail author
  • Amparo Casado
  • Fernando de la Prieta
  • Sara Rodríguez
  • Juan F. De Paz
  • Javier Bajo
Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 156)


Education and training for disabled people has acquired a growing relevance during the last decade, especially for labour integration. Disabled people represent a considerable percentage of the current population and require special education. This paper presents a competencies model to evaluate the skills of disabled people previous to their integration to working scenarios.


units of competency disabled active learning 


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  1. 1.
  2. 2.
  3. 3.
  4. 4.
    Rodríguez-Fórtiz, M.J., Fernández-López, A., Rodríguez, M.L.: Mobile Communication and Learning Applications for Autistic People. In: Williams, T. (ed.) Autism Spectrum Disorders - From Genes to Environment. InTech (2011) ISBN: 978-953-307-558-7Google Scholar
  5. 5.
    Bajo, J., Molina, J.M., Corchado, J.M.: Ubiquitous computing for mobile environments. In: Issues in Multi-Agent Systems: The AgentCities. ES Experience. Whitestein Series in Software Agent Technologies and Autonomic Computing, pp. 33–58. Birkhäuser, Basel (2007)Google Scholar
  6. 6.
    Brown, T.H.: Beyond constructivism: Exploring future learning paradigms. Education Today 2005(2) (2005)Google Scholar
  7. 7.
    Friedewald, M., Da Costa, O.: Science and Technology Roadmapping: Ambient Intelligence in Everyday Life (AmI@Life). In: Working Paper. Institute for Prospective Technology Studies IPTS, Seville (2003)Google Scholar
  8. 8.
    Laza, R., Pavón, R., Corchado, J.M.: A Reasoning Model for CBR_BDI Agents Using an Adaptable Fuzzy Inference System. In: Conejo, R., Urretavizcaya, M., Pérez-de-la-Cruz, J.-L. (eds.) CAEPIA/TTIA 2003. LNCS (LNAI), vol. 3040, pp. 96–106. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  9. 9.
    Kolodner, J.: Case-Based Reasoning. Morgan Kaufmann, San Francisco (1983)Google Scholar
  10. 10.
    Kohonen, T.: Self-Organization and Associative Memory. Springer, Berlin (1984)zbMATHGoogle Scholar
  11. 11.
    Baruque, B., Corchado, E.: A weighted voting summarization of SOM ensembles. Data Mining and Knowledge Discovery 21(3), 398–426 (2010)MathSciNetCrossRefGoogle Scholar
  12. 12.
    Corchado, E., Baruque, B., Yin, H.: Boosting Unsupervised Competitive Learning Ensembles. In: de Sá, J.M., Alexandre, L.A., Duch, W., Mandic, D.P. (eds.) ICANN 2007, Part I. LNCS, vol. 4668, pp. 339–348. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  13. 13.
    Breiman, L., Friedman, J., Olshen, A., Stone, C.: Classification and regression trees. Wadsworth International Group, Belmont (1984)zbMATHGoogle Scholar
  14. 14.
    INCUAL (National Institute of Professional Qualifications),

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Amparo Jiménez
    • 1
    Email author
  • Amparo Casado
    • 1
  • Fernando de la Prieta
    • 2
  • Sara Rodríguez
    • 2
  • Juan F. De Paz
    • 2
  • Javier Bajo
    • 1
  1. 1.Universidad Pontificia de SalamancaSalamancaSpain
  2. 2.Departamento Informática y AutomáticaUniversidad de SalamancaSalamancaSpain

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