Agents that reduce work and information overload
Communications of the ACM
JADE: a FIPA2000 compliant agent development environment
Proceedings of the fifth international conference on Autonomous agents
Using Edit Distance Algorithms to Compare Alternative Approaches to ITS Authoring
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
A Discussion on Mobile Agent Based Mobile Web-Based ITS
ICCE '02 Proceedings of the International Conference on Computers in Education
Service-Oriented Architecture: A Field Guide to Integrating XML and Web Services
Service-Oriented Architecture: A Field Guide to Integrating XML and Web Services
Using pedagogical agents to support collaborative distance learning
CSCL '02 Proceedings of the Conference on Computer Support for Collaborative Learning: Foundations for a CSCL Community
Multimodal Mobile Virtual Blackboard
ER '08 Proceedings of the ER 2008 Workshops (CMLSA, ECDM, FP-UML, M2AS, RIGiM, SeCoGIS, WISM) on Advances in Conceptual Modeling: Challenges and Opportunities
HCI Research for E-Learning: Adaptability and Adaptivity to Support Better User Interaction
USAB '08 Proceedings of the 4th Symposium of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society on HCI and Usability for Education and Work
TEx-Sys model in the Semantic Web and Web 2.0 environments
International Journal of Technology Enhanced Learning
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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.