Semantic Web Technologies for Context-Aware Museum Tour Guide Applications
AINA '05 Proceedings of the 19th International Conference on Advanced Information Networking and Applications - Volume 2
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
Language learning in a virtual classroom: synchronous methods, cultural exchanges
CSCL '05 Proceedings of th 2005 conference on Computer support for collaborative learning: learning 2005: the next 10 years!
A Lifecycle approach to evaluating MyArtSpace
WMTE '06 Proceedings of the Fourth IEEE International Workshop on Wireless, Mobile and Ubiquitous Technology in Education
Exploring the potential of mobile phones for active learning in the classroom
Proceedings of the 38th SIGCSE technical symposium on Computer science education
LOCH: supporting mobile language learning outside classrooms
International Journal of Mobile Learning and Organisation
Improving Collaborative Filtering Recommendations Using External Data
ICDM '08 Proceedings of the 2008 Eighth IEEE International Conference on Data Mining
Ubiquitous Personal Study: a framework for supporting information access and sharing
Personal and Ubiquitous Computing
Cyber-I: Vision of the Individual's Counterpart on Cyberspace
DASC '09 Proceedings of the 2009 Eighth IEEE International Conference on Dependable, Autonomic and Secure Computing
Adaptive learning resources search mechanism
Proceedings of the second ACM international workshop on Multimedia technologies for distance leaning
Ranking Metrics and Search Guidance for Learning Object Repository
IEEE Transactions on Learning Technologies
The computer for the 21st Century
IEEE Pervasive Computing
Ubiquitous e-Learning With Multimodal Multimedia Devices
IEEE Transactions on Multimedia
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Recently, there have been lots of researches on how to provide personalized services to different users according to their personal characters, needs, situations, contexts and so on. Such personalized services are often based on users' profiles provided by the users in the beginning, and users' records or experiences in using corresponding systems in certain periods. However, different systems or terminals collect user information independently and cannot share the user's personal information collected by these different systems/terminals. As a result, each system can only utilize the limited information collected by the system itself to provide services or recommendations, and it thus cannot meet what users' needs in varied situations across the different systems/terminals. Therefore, it is still an open issue on how to gather, share and utilize various kinds of personal information to effective personalized services in right time, right place and right means to users. In this paper, a case study for personalized pervasive learning is discussed as one typical application of the concept of Cyber-I, an individual's counterpart on the cyberspace. The Cyber-I aims to provide a better environment for users to obtain what they may really need on the Web, and it can be considered as an innovated possibility of web usage scenario in the near future. Our case study using pervasive devices (iPad, cell phone, and laptop) for learning issues can be regarded as the best practice to support the proposed Cyber-I.