Using explicit ontologies in KBS development
International Journal of Human-Computer Studies
Toward an ecology of hypertext annotation
Proceedings of the ninth ACM conference on Hypertext and hypermedia : links, objects, time and space---structure in hypermedia systems: links, objects, time and space---structure in hypermedia systems
Communications of the ACM
The landscape of persuasive technologies
Communications of the ACM
Building and Searching an XML-Based Corporate Memory
IEEE Intelligent Systems
Concept sharing between human and interface agent under time criticality
Proceedings of the IFIP TC5/WG5.3 Forth IFIP/IEEE International Conference on Information Technology for Balanced Automation Systems in Manufacture and Transportation: Advanced Network Enterprises, Virtual Organizations, Balanced Automation, and Systems Integration
WSEAS Transactions on Computers
Pedagogical resources management for e-learning
WSEAS Transactions on Information Science and Applications
Information model of intelligence and memorizing in early childhood
WSEAS Transactions on Information Science and Applications
Considering application domain ontologies for data mining
WSEAS Transactions on Information Science and Applications
The role of conditional release technologies and intelligent tutors in graduate management education
ICHL'12 Proceedings of the 5th international conference on Hybrid Learning
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The main goal of this article is to develop a virtual educational environment model which makes learning easier by using collaboration (and extension, team-research model) as a form of social interplay. The model represents a universe where human agents interact with artificial agents (software agents). Considering the vision of the system, it can be classified among advanced systems for it is client-oriented (student) and provides value added educational services, due to the collaborative learning attribute. The model proposes an original architecture where elements of the socio-cultural theory of collaborative learning are assigned to the artificial intelligence components (the multi-agent system). The expected results are: conceptual models (agents, learning and teaching strategies, student profiles and group profiles, communication between agents, negotiation strategies and coalition formation), software entities, and a methodology to evaluate the performance of eLearning systems.