A blended learning process with virtual and traditional classrooms using web conference systems and self-learning using moodle was carried out for students living overseas (in Taiwan, India, and China), who do not have the opportunity to study the Japanese language. A class analysis was conducted, aimed at clarifying the difference between traditional and virtual classes, using a Web conference system. The results show a difference in class activity and conversation between teachers and students.

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With the advancement of e Learning systems, the completion of “learning anytime, anywhere” environment is around the corner. On the other hand, authentication system is still in the making, which is inevitable for the future of e Learning systems. The authentication system we would like to propose is what is called “keystroke dynamics”, taking advantage of the behavior and characteristics of keyboard typing of each individual human. The pros of this dynamics are 1. Introducing this system doesn't require any additional hardware costs, 2. Authentication can be carried out many times during learners' e-Learning. The objective of our study, therefore, is to implement such a system. A pilot experiment was also conducted to show the potential of the practicality of this system.

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The authors propose 2 functions of utterance data exchange over different LMS, and similarity judgment between different group discussions. Conventional CSCL activities are processed without exchanging any information with other learner groups, even if they are discussing the same topic. With use of the first proposal, a learner group is able to acquire basic information, related references and various standpoints for the given topic during the discussion or in advance. Even if this function is installed, referred discussion is not necessarily relevant to the ongoing discussion, because judgment with discussion topic and keyword is not similar enough. In order to solve this problem, ontology-based similarity judgment was developed. The effectiveness of these proposals was examined through the experiment.

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CSCL discussion support functions are proposed. First, attendants are able to refer ongoing and referred discussions with tree-based visualization. Discussion context of another group is available to accelerate the target discussion. Next, the proposing system analyzes non-specified multi-utterance relationship. This analysis result is reflected into the visualization. Attendants select the utterance role from the 6 options of Proposal, Affirmative Comment, Negative Comment, Question, Justification and Argument. Experiment shows that attendants pay deeper attention on their utterances.

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