Abstract
In this paper we provide our general approach and discuss relevant issues in providing a dynamic user modelling approach for attending functional diversity for accessible lifelong learning (ALL) in Higher Education. Our approach to provide universal and personalized access lies on combining user modelling and machine learning techniques to cope with the needs for ALL with a pervasive support of standards and supporting the full life cycle of service adaptation. The modelling differs from others in i) coping with interactions and context of the user that can only be considered at runtime and ii) characterising interaction capabilities of different kinds of devices. Models are used to personalize and adapt learning materials, pedagogical settings and interactions in the environment to satisfy both the individual learning needs and the access preferences, taking into account the context at hand.
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References
Ondeck, D.M.: The Challenges of Functional Inability Home Health Care Management & Practice 15(4), 350–352 (June 2003)
Boticario, J.G., Santos, O.C.: An open IMS-based user modelling approach for developing adaptive learning management systems. Journal of Interactive Media in Education (in press)
Cudd, P.A., Freeman, M., Yates, R.B., Wilson, A.J., Cooke, M.P., Hawley, M.S.: The CORES project. In: Proceedings of the 4th international conference on Computers for handicapped persons table of contents, pp. 493–495. Springer, Heidelberg (1994)
Alexandraki, C., Paramythis, A., Maou, N., Stephanidis, C.: Web Accessibility through Adaptation. In: Miesenberger, K., Klaus, J., Zagler, W., Burger, D. (eds.) ICCHP 2004. LNCS, vol. 3118, pp. 302–309. Springer, Heidelberg (2004)
Makris, C., Tsakalidis, A.K., Vassiliadis, B., Bogonikolos, N.: Adapting Information Presentation and Retrieval through User Modelling. In: ITCC 2001, pp. 399–404.
Velasco, C.A., Mohamad, Y., Gilman, A.S., Viorres, N., Vlachogiannis, E., Arnellos, A., Darsenitas, J.S.: Universal access to information services-the need for user information and its relationship to device profiles. In: Universal Access in the Information Society, vol. 3(1), pp. 88–95. Springer, Heidelberg (2004)
Van Rosmalen, P., Boticario, J.G., Santos, O.C.: The Full Life Cycle of Adaptation in aLFanet eLearning Environment. Learning Technology newsletter 4, 59–61 (2004)
Martin, L., Gutierrez y Restrepo, E., Barrera, C., Rodriguez Ascaso, A., Santos, O.C., Boticario, J.G.: Usability and Accessibility Evaluations along the E-learning Cycle. In: Proceedings from International Workshop on Web Usability and Accessibility (in press)
Santos, O.C., Boticario, J.G.: European Unified Approach for Accessible Lifelong Learning. In: Mendez-Vilas, A. (ed.) Proceedings of the 4th Int. Conf. on Multimedia and ICTs in Education. Current Developments in Technology-Assisted Education (2006)
Santos, O.C.: A standard-based approach for modeling ’all’ users in adaptive learning management systems with artificial intelligence techniques. In: Proceedings CAEPIA (in press)
Kadouche, R.: Towards strategies and methods for disabled users profile. In: Workshop on Personalisation of ICT products and services. ETSI (October 2004)
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Santos, O.C., Rodriguez-Ascaso, A., Boticario, J.G., Martin, L. (2007). User Modeling for Attending Functional Diversity for ALL in Higher Education. In: Weske, M., Hacid, MS., Godart, C. (eds) Web Information Systems Engineering – WISE 2007 Workshops. WISE 2007. Lecture Notes in Computer Science, vol 4832. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77010-7_29
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DOI: https://doi.org/10.1007/978-3-540-77010-7_29
Publisher Name: Springer, Berlin, Heidelberg
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