| Summary: | 碩士 === 國立臺南大學 === 數位學習科技學系碩博士班 === 102 === Obtaining knowledge from the internet has been normal in the social of high internet rate. But how to correctly learn knowledge from the internet is a problem which should be thought. In addition to the tendency, having two or more languages has become necessary abilities.
For this reason, this study adds the Affective Computing into Intelligent Tutoring System (ITS) by the tendency of internet. Mainly emotions recognition mechanism is the Chinese semantic recognition. In adding to make learner learn without the limitation of time and place, this system establishes on the internet because of its convenience.
This study focuses on 73 learners who having interesting in Japanese for exercise, and uses VAK Learning Style to classify learners into three styles including visual, auditory and kinesthetic. For system analysis and assessment, this study also uses System Usability Scale (SUS) and Questionnaire for interaction satisfaction (QUIS). The grade of SUS is 73.8 so that means this system has a good usability. The assessment of QUIS also is significant and the kinesthetic learners have better performance than visual learners when using this system. The main learning way of kinesthetic learners is operation. It means this system has a good ability of operation, system feedback and interact mechanism with agent.
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