Abstract
Intelligent tutoring systems (ITSs) represent a particular kind of e-learning systems, which base their operation on the simulation of a human teacher in the learning and teaching process. With the advent of the mobile computing paradigm, m-learning systems, as the "portable and personal" fashion of e-learning, paved the way to the introduction of mobile intelligent tutoring. Mobile intelligent tutoring systems (MITSs) are targeted to fit into a mobile learner’s daily routine without disrupting her/his other activities, but conversely enhancing the efficiency and effectiveness of learning in the context of handheld terminals of restricted capabilities. As in the non-portable ITS counterparts, MITSs’ tasks are taken over by agents, making them agent-based systems. In this paper we discuss the mobile intelligent tutoring paradigm, as well as the agent types to be used in the m-learning environment along with the presently affordable agent infrastructure enabling MITS implementation, and corroborate this with the description of a mobile intelligent tutoring model we are developing.
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Glavinic, V., Rosic, M., Zelic, M. (2007). Agents in m-Learning Systems Based on Intelligent Tutoring. In: Stephanidis, C. (eds) Universal Access in Human-Computer Interaction. Applications and Services. UAHCI 2007. Lecture Notes in Computer Science, vol 4556. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73283-9_64
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