Intelligent information agents: review and challenges for distributed information sources
Journal of the American Society for Information Science
Combining collaborative filtering with personal agents for better recommendations
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
User Testing a Hypermedia Tour Guide
IEEE Pervasive Computing
Learning Collaborative Information Filters
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Web Based Self-Directed Learning Environment Using Learner's Annotation
ICCE '02 Proceedings of the International Conference on Computers in Education
Building a Recommender Agent for e-Learning Systems
ICCE '02 Proceedings of the International Conference on Computers in Education
Modeling Context-Aware e-Learning Scenarios
PERCOMW '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications Workshops
Personalized Recommendation Services Based on Service-Oriented Architecture
APSCC '06 Proceedings of the 2006 IEEE Asia-Pacific Conference on Services Computing
An Effective Technique for Personalization Recommendation Based on Access Sequential Patterns
APSCC '06 Proceedings of the 2006 IEEE Asia-Pacific Conference on Services Computing
Ubiquitous information transfer across different platforms by QR codes
Journal of Mobile Multimedia
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Science and engineering education play a very important role in the industrial development of a country. Although most people are aware of the importance of science, students often find science boring and uninteresting as traditional textbooks only provide static information. Students who achieve better usually have practical experiences related to the subject or have been exposed to interactive learning tools. In order to promote science education development, a learning system based on RFID is proposed to provide personalized learning service. This paper introduces the architecture of the proposed service and the technologies used including RFID and collaborative filtering. The contributions of the proposed system and how the profiles are used to provide personalization are also discussed. Evaluations of the system reveal that the system inspires and nurtures their interest in science.