Model Based on Learning Needs of Children with Auditory Impairment

  • Sandra CanoEmail author
  • César Collazos
  • Habib M. Fardoun
  • Daniyal M. Alghazzawi
  • Abdullah Albarakati
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9742)


This paper presents a model based on the needs of children with an auditory impairment, in which the dual research lines of Human Computer Interaction and Artificial Intelligence are employed in the design of intelligent interactive systems able to meet the requirements of the user. In following a philosophy of user-centered design, different characteristics of children with hearing disabilities are identified, along with AI techniques that could be applied in the model. The main issues involved in designing a user profile and the techniques used in order to create the process of adapting the system to the user are also discussed.


Learning styles Hearing impaired Human computer interaction Artificial intelligence 


  1. 1.
    González, G., Héctor, M., Duque, M., Nestor, D., Ovalle, C., Demetrio, A.: Modelo del Estudiante para Sistemas Adaptativos de Educación Virtual. Revista Avances en Sistemas e Informática 5(1), 199–206 (2008)Google Scholar
  2. 2.
    Mejía, A., Juárez, R.R., Inzunza, S., Valenzuela, R.: Implementing adaptive interfaces: a user model for the development of usability in interactive systems. In: Proceedings of the CUBE International Information Technology Conference, pp. 1–7 (2012)Google Scholar
  3. 3.
    Cano, S., Muñoz, A.J., Collazos, C.A., Amador, V.: Model for analysis of serious games for literacy in deaf children from user experience approach. In: Proceedings of the XVI International Conference on Human Computer Interaction (2015)Google Scholar
  4. 4.
    Froschl, C.: User modeling and user profiling in adaptive e-learning systems. Master’s Thesis. Graz University of Technology (2005)Google Scholar
  5. 5.
    Mascio, T.D., Gennari, R., Vittorini, P.: The Design of an Intelligent Adaptive Learning System for Poor Comprehenders. Cognitive and Metacognitive Educational Systems: Papers from the AAAI Fall Symposium (2010)Google Scholar
  6. 6.
    Narkevicienè, G.A.: Deaf Children’s Visual Recall and its Development in School Age, Vytauro Didziojo Universitetas K, p. 52 (2010)Google Scholar
  7. 7.
    de Bra, P., Houben, G.J., Wu, H.: AHAM: a dexter-based reference model for adaptive hypermedia. In: Proceedings of the ACM Conference on Hypertext and Hypermedia (Hypertext 1999), Darmstadt, Germany, vol. 2, pp. 147–156 (1999)Google Scholar
  8. 8.
    Chen, S., Zhang, J.: The adaptive learning based on learning style and cognitive state. In: International Symposium on Knowledge Acquisition and Modeling, pp. 302–306 (2008)Google Scholar
  9. 9.
    Brusilovsky, P.: Methods and techniques of adaptive hypermedia. User Model. User-Adap. Inter. 6(2–3), 87–129 (1996)CrossRefzbMATHGoogle Scholar
  10. 10.
    Gutiérrez, J., Pérez, T.: Sistemas de Interacción Persona - Computador. En M. Ortega & J. Bravo (Eds.) Sistemas Hipermedia Adaptativos España: Ediciones de la Universidad de Castilla-La Mancha, pp. 159–179 (2001)Google Scholar
  11. 11.
    Frazer, A., Recio-Saucedo, A., Gilbert, L., Wills, G.: Profiling the educational value of computer games. Interact. Des. Architecture(s) J. – IxD&A 19, 9–27 (2013)Google Scholar
  12. 12.
    Márquez, C.C., Jordán, G.C., Valldeperas, E.M.: Modelo Bayesiano del Alumno basado en el Estilo de Aprendizaje y las Preferencias. Revista IEEE-RITA 4, 139–146 (2009)Google Scholar
  13. 13.
    Alonso, C., Gallego, D., Honey, P.: Los estilos de aprendizaje. Ediciones Mensajero, Bilbao (1999)Google Scholar
  14. 14.
    Gagné, R.: Las condiciones del aprendizaje. 4ta. edición, México: McGraw-Hill, New York (1985)Google Scholar
  15. 15.
    Mitchell, T.: Machine Learning. McGraw Hill, New York (1997)zbMATHGoogle Scholar
  16. 16.
    Rim, R., Amin, M.M., Adel, M.: Bayesian networks for user modeling: predicting the user’s preferences. In: 13th International Conference Hybrid Intelligent Systems (HIC), pp. 4–6 (2013)Google Scholar
  17. 17.
    Chen, Q., Norcio, A.F.: A neural network approach for user modeling. In: Conference Proceedings of the System, Man, and Cybernetics. Decision Aiding for Complex Systems, vol 12, pp. 13–16 (1991)Google Scholar
  18. 18.
    Felder, R.: Matters of style. ASEE. Prism 6(4), 18–23 (1996)Google Scholar
  19. 19.
    Fleming, N.D., Mills, C.: Not Another Inventory, Rather a Catalyst for Reflection. To Improve the Academy 11, 137–155 (1992)Google Scholar
  20. 20.
    Budiharto, W., Rachmawati, R.N, Ricky, M.Y, Chyntia, B.R.P.: The psychological aspects and implementation of adaptive games for mobile application. In: International Joint Conference on Awareness Science and Technology and Ubi-Media Computing (iCast-UMEDIA), pp. 163–169, pp. 2–4 (2013)Google Scholar
  21. 21.
    Grigonis, A., Narkevicienè, V.: Deaf Children’s Visual Recall and Its Development in School Age. Vytauro Didziojo Universitetas K, p. 52 (2010)Google Scholar
  22. 22.
    Marschark, M., Everhart, V.S.: Problem-solving by deaf and hearing students: twenty questions. Deafness Educ int., pp. 65–82 (1999)Google Scholar
  23. 23.
    Tahir, R.: Analyzing the intelligence in user interfaces. In: SAI Intelligent Systems Conference, pp. 674–680 (2015)Google Scholar
  24. 24.
    Henry, L.: User inteface goals. AI Opportunities. AI Mag. 30(4), 16–22 (2009)Google Scholar
  25. 25.
    Rohrbach, M.: Uwe Schmidt. Intelligent User Interfaces: Modelling the user. University of British Columbia (2008)Google Scholar
  26. 26.
    Gajos, K.Z., Everitt, K., Tan, D.S., Czerwinski, M., Weld, D.S.: Predictability and accuary in adaptive user interfaces. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1271–1274 (2008)Google Scholar
  27. 27.
    Anne Anastasi: Test Psicológicos. Ediciones Aguilas, 2da Edición (1968)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Sandra Cano
    • 1
    Email author
  • César Collazos
    • 2
  • Habib M. Fardoun
    • 3
  • Daniyal M. Alghazzawi
    • 3
  • Abdullah Albarakati
    • 3
  1. 1.LIDIS GroupUniversity of San BuenaventuraCaliColombia
  2. 2.IDIS GroupUniversity of CaucaPopayánColombia
  3. 3.King Abdulaziz UniversityJeddahSaudi Arabia

Personalised recommendations