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Ubiquitous computing could help the organisation and the mediation of social interactions wherever and whenever these situations might occur. Using those technologies enables the learning environment to be embedded in the real daily life. One of the most important ubiquitous technologies is radio frequency identification (RFID) tag, which is very useful and efficient to realise the ubiquitous computing, by mapping the real objects and the information into a virtual world. In the near future, RFID tags will be embedded in a lot of physical objects in order to trace the shipping of the products, and so forth. This paper proposes a computer assisted language learning (CALL) environment called tag added learning objects (TANGO). TANGO detects the objects around the learner using RFID tags, and assigns some questions to the learner related to the detected objects that he usually uses during the daily life to improve his vocabulary knowledge. Also, this environment allows the learners to share their knowledge through RFID tags and to learn a language with authentic and tangible objects. This environment is implemented and evaluated.

This paper describes a computer supported collaborative learning (CSCL) in a ubiquitous computing environment. In the system called CLUE, the learners provide and share individual experience and interaction corpus and discuss about them. This paper focuses on the design, implementation, and evaluation of knowledge awareness map. The map visualizes the relationship between the shared knowledge and the current and past interactions of learners. The map plays a very important role for finding peer helpers, and inducing collaboration.

For learners in distributed e-learning environments, it is difficult, but very important, to locate the right peer for collaboration on the right knowledge, at the right time and in the right way. This paper proposes the use of context awareness (CA) to support peer recommendation in the e-learning context. For this purpose, this paper explores the e-learning context that involves knowledge , social and technical contexts . Accordingly, this paper proposes a threedimensional CA model for peer recommendation that includes CA to knowledge potential , social proximity and technical access . By matching the peer seeker and the peer candidate with respect to these three dimensions, the CA information is promising as an aid to the peer seeker in finding suitable knowledge collaborators. The importance of activity context is highlighted in CAsupported peer-recommendation mechanism. A five-dimensional (who, what, how, when and where) representation approach is suggested for activitycontext description.

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