Shift to Cyber-I: Reexamining Personalized Pervasive Learning

摘要: Recently, there have been lots of researches on how to provide personalized services different users according their personal characters, needs, situations, contexts and so on. Such are often based users' profiles provided by the in beginning, records or experiences using corresponding systems certain periods. However, terminals collect user information independently cannot share user's collected these systems/terminals. As a result, each system can only utilize limited itself recommendations, it thus meet what needs varied situations across Therefore, is still an open issue gather, various kinds effective right time, place means users. In this paper, case study for pervasive learning discussed as one typical application concept Cyber-I, individual's counterpart cyberspace. The Cyber-I aims better environment obtain they may really need Web, be considered innovated possibility web usage scenario near future. Our devices (iPad, cell phone, laptop) issues regarded best practice support proposed Cyber-I.