Advertisement

Adaptable and Adaptive Human-Computer Interface to Recommend Learning Objects from Repositories

  • Thomas Quiroz
  • Oscar M. Salazar
  • Demetrio A. OvalleEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9753)

Abstract

In the last decades, some useful contributions have occurred to human-computer interfaces and e-learning system developments such as adaptation, personalization, ontological modeling, as well as, learning object repositories. The aim of this paper is to present the advantages of integrating ontologies as knowledge representation scheme in order to support adaptable and adaptive functionalities that can be offered by a human-computer interface when recommending LOs from Repositories. A human-computer interface model is proposed which is composed of several modules that allow deploying adaptable and adaptive functionalities such as the following: (1) store and retrieving of LOs from repositories, (2) representation of events by learners within the GUI, (3) performing of inferences through ontological reasoned, (4) adaptation of the GUI for each of the users’ profiles and (5) monitoring of all changes made by the user on the GUI and storing of them in the system database for further processing. In order to validate the model a prototype was built and tested through a case study. Results obtained demonstrate the effectiveness of the proposed human-computer interface model which combines adaptability along with adaptive characteristics.

Keywords

Human-computer interfaces Personalization Adaptable and adaptive systems Ontologies Learning objects (LO) LO repositories 

Notes

Acknowledgments

This research was developed with the aid of the master grants offered to Oscar M. Salazar and Thomas Quiroz by COLCIENCIAS through “Convocatoria 645 de 2014. Capítulo 1 Semilleros-Jóvenes Investigadores”. This research was also partially funded by the COLCIENCIAS project entitled: “RAIM: Implementación de un framework apoyado en tecnologías móviles y de realidad aumentada para entornos educativos ubicuos, adaptativos, accesibles e interactivos para todos” from the Universidad Nacional de Colombia, with code 1119-569-34172.

References

  1. 1.
    Lopez, J., Victor, M.: Interfaces de usuario adaptativas basadas en modelos y agentes software. Tesis de Doctorado, Departamento de Sistemas Informáticos, Universidad de Castilla-La Mancha, p. 324 (2005)Google Scholar
  2. 2.
    Gavrilova, T., Voinov, A.: An approach to mapping of user model to corresponding interface parameters. In: Proceedings of the Workshop Embedding User Models in Intelligent Applications, pp. 24–29 (1997)Google Scholar
  3. 3.
    Smyth, B., McGinty, L., Reilly, J., McCarthy, K.: Compound critiques for conversational recommender systems. In: IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), pp. 145–151. IEEE (2004). doi: 10.1109/WI.2004.10098
  4. 4.
    Steichen, B., Ashman, H., Wade, V.: A comparative survey of personalized information retrieval and adaptive hypermedia techniques. Inf. Process. Manage. 48(4), 698–724 (2012). doi: 10.1016/j.ipm.2011.12.004 CrossRefGoogle Scholar
  5. 5.
    Letsu-Dake, E., Ntuen, C.A.: A case study of experimental evaluation of adaptive interfaces. Int. J. Ind. Ergon. 40(1), 34–40 (2009)CrossRefGoogle Scholar
  6. 6.
    Park, J., Han, S.H.: Complementary menus: combining adaptable and adaptive approaches for menu interface. Int. J. Ind. Ergon. 41(3), 305–316 (2011)MathSciNetCrossRefGoogle Scholar
  7. 7.
    Shakshuki, E.M., Reid, M., Sheltami, T.R.: An adaptive user interface in healthcare. Procedia Comput. Sci. 56, 49–58 (2015)CrossRefGoogle Scholar
  8. 8.
    Jorritsma, W., Cnossen, F., van Ooijen, P.M.A.: Adaptive support for user interface customization: a study in radiology. Int. J. Hum.-Comput. Stud. 77(4), 1–9 (2015)CrossRefGoogle Scholar
  9. 9.
    Tramullas, J., Sánchez-Casabón, A.-I., Garrido-Picazo, P.: An evaluation based on the digital library user: an experience with greenstone software. Procedia Soc. Behav. Sci. 73, 167–174 (2013). doi: 10.1016/j.sbspro.2013.02.037 CrossRefGoogle Scholar
  10. 10.
    Gaeta, M., Orciuoli, F., Paolozzi, S., Salerno, S.: Ontology extraction for knowledge reuse: the e-Learning perspective. IEEE Trans. Syst. Man Cybern. Part A Syst. Hum. 41(4), 798–809 (2011)CrossRefGoogle Scholar
  11. 11.
    Rodriguez, P., Salazar, O., Ovalle, D., Duque, N., Moreno, J.: Using ontological modeling for multi-agent recommendation of learning objects. In: Workshop MASLE – Multiagent System Based Learning Environments, Intelligent Tutoring Systems (ITS) Conference, Hawaii (2014)Google Scholar
  12. 12.
    Learning Technology Standards Committee: IEEE Standard for Learning Object Metadata. Institute of Electrical and Electronics Engineering, New York (2002)Google Scholar
  13. 13.
    Rodríguez, P.A., Moreno, J., Duque, N.D., Ovalle, D., Silveira, R.: A model for the semi-automatic composition of educational content from open repositories of learning objects. Rev. Electrónica Invest. Educ. (REDIE) 16, 123–136 (2014)Google Scholar
  14. 14.
    Van de Sompel, H., Chute, R., Hochstenbach, P.: The aDORe federation architecture: digital repositories at scale. Int. J. Digit. Libr. 9, 83–100 (2008)CrossRefGoogle Scholar
  15. 15.
    Ravi, R., Kumar, A., Bijlani, K., Sharika, T.R.: Self-adaptive interface for comprehensive authoring. Procedia Comput. Sci. 58, 158–164 (2015)CrossRefGoogle Scholar
  16. 16.
    Shakshuki, E., Reida, M., Sheltami, T.: Dynamic healthcare interface for patients. Procedia Comput. Sci. 63, 356–365 (2015)CrossRefGoogle Scholar
  17. 17.
    GWT Documentation (2016). http://www.gwtproject.org/. Accessed 10 Feb 2016
  18. 18.
    Ameen, A., Khan, K.U.R., Rani, B.P.: Extracting knowledge from ontology using Jena for semantic web. In: International Conference for Convergence for Technology 2014, pp. 1–5 (2014)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Thomas Quiroz
    • 1
  • Oscar M. Salazar
    • 1
  • Demetrio A. Ovalle
    • 1
    Email author
  1. 1.Universidad Nacional de Colombia, Sede MedellínMedellínColombia

Personalised recommendations