Proceedings of the 9th international conference on Intelligent user interfaces
Goal Oriented Modeling for Intelligent Software Agents
IAT '04 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Intelligent market based learner modeling
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Do learning styles influence the way students perceive interface agents?
Proceedings of the VIII Brazilian Symposium on Human Factors in Computing Systems
A cloud and agent based architecture design for an educational mobile SNS game
Edutainment'11 Proceedings of the 6th international conference on E-learning and games, edutainment technologies
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Personalization in virtual learning environments is the system ability to provide individualization and a set of personalized services such as personalized content management, learner model, or adaptive instant interaction. The intelligent agent technology has potential regarding the creation of such personalized, adaptive and interactive elearning applications. However, most of the available solutions have so far focused on porting existing courses with traditional teaching methods onto the virtual environments, making them available in an attractive animated interface without any fine-tuning and adaptation to the learner needs. This paper proposes a novel market-inspired collaboration model where the agents are self-interested autonomic elements collaborate to achieve a comprehensive learner model. Mentor agent makes decisions on top of a Dempster-Shafer belief accumulation to help student whenever she believes student has lost the clues and needs help. Proposed architecture is validated by applying on a sample agent augmented virtual environment designed to engageand motivate students at the lower secondary level in Singapore. Extensive experiments illustrate the effectiveness of the proposed interaction model where students have found the mentor agent as believable as a virtual teacher.