Comparing Learning Experiences by Linking Physical Objects and Videos Toru Misumi, Hiroaki Ogata, Yoshiki Matsuka, Moushir M. El-Bishouty and Yoneo Yano Dept. of Information Science and Intelligent Systems, Faculty of Engineering, University of Tokushima, Japan misumi@is.tokushima-u.ac.jp Abstract: The paper presents LORAMS personal learning assistant to support reuse of user's learning experiences. The system take into consideration the learning context (situation) of a user captured as movies linked with RFID tags. We think that these videos are very useful to learn various kinds of subjects. The system is evaluated in a study in the domain of cooking. Keywords: Ubiquitous Learning, RFID tag, multimedia, richmedia, comparison Introduction Ubiquitous computing [1] will help organize and mediate social interactions whenever and wherever these situations might occur [6]. Its evolution has recently been accelerated by improved wireless telecommunications capabilities, open networks, continued increases in computing power, improved battery technology, and the emergence of flexible software architectures [11]. With those technologies, CSUL (Computer Supported Ubiquitous Learning) is realized, where an individual and collaborative learning in our daily life can be seamlessly included. One of the most important ubiquitous computing technologies is RFID (radio frequency identification) tag, which is a rewritable IC memory with non-contact communication facility [4]. This cheap, tiny RFID tag will make it possible to tag almost everything, replace the barcode, helps computers to be aware of their surrounding objects by themselves, and detect the user’s context [3]. We assume that almost all the products will be attached with RFID tags in the near future, where we will be able to learn at anytime at anyplace from every object by scanning its RFID tag. The fundamental issues in CSUL are (1) How to capture and share learning experiences that happen at anytime and anyplace. (2) How to retrieve and reuse them for learning. As for the first issue, video recording with handheld devices will allow us to capture learning experiences. Also consumer generated media (CGM) services such as YouTube [http://www.youtube.com/] help to share those videos. The second issue will be solved, by linking the objects in a video with RFID tags so that the system can recommend the videos in similar situations to the situation where the learner has a problem. In addition, the learning will be improved by comparing the video of the learner’s experience with the video of a similar situation. 743