Abstract
With recently increased emphasis on learner-centered education, a u-learning system, which can provide learners with a learning at any time in any place, has been becoming the focus of attention. Also, the advance of technology enables learners to have easier access to internet through PDA, thus to acquire information needed to learn on the spot at the moment without time or space constraints. Based on the current trend of the technology, we focus on how learners obtain and access information suitable for them. We shall propose a mobile middleware framework and profiling system, which take into account circumstances of a learner with a mobile device, specifications on a mobile device, and the learner’s level or preferences for individualized u-learning. The middleware system is devised to make use of the information collected from RFID reader for outlining the learning environment of the learner.
References
Chan, P.K.: Constructing Web User Profiles: A Non-invasive Learning Approach. In: Masand, B., Spiliopoulou, M. (eds.) WebKDD 1999. LNCS (LNAI), vol. 1836, pp. 39–55. Springer, Heidelberg (2000)
Carreira, R., Crato, J.M., Gonçalves, D., Jorge, J.A.: Evaluating Adaptive User Profiles for News Classification. In: Proceedings of IUI 2004 (2004)
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© 2006 Springer-Verlag Berlin Heidelberg
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Kim, S.B., Yang, K.M., Kim, C.M. (2006). A Profiling System and Mobile Middleware Framework for U-Learning. In: Ikeda, M., Ashley, K.D., Chan, TW. (eds) Intelligent Tutoring Systems. ITS 2006. Lecture Notes in Computer Science, vol 4053. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11774303_74
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DOI: https://doi.org/10.1007/11774303_74
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-35159-7
Online ISBN: 978-3-540-35160-3
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