Summary: | 碩士 === 國立中央大學 === 網路學習科技研究所 === 96 === In this paper, we proposed an English dialogue companion system, called EDC, using predicate argument structure by Support Vector Machine (SVM) classifier for semantic analyzer in order to support elementary students for learning English one on one. Three phases of learning activities were designed to enhance the English learning environment, which are the choice of learning companion phase, the conversation phase, and the teaching phase. Firstly, a learner selects an animated figure as her/his own learning companion. Secondly, a learner can chat with the EDC system in English by keyboard or microphone. Thirdly, a learner can teach new vocabularies or sentences to the learning companion. A between-subject design experiment was conducted to evaluate the effectiveness of the EDC system in terms of English achievement, motivation, and cognitive characteristics. Results of this study showed that there is no significant difference between the experimental group and the control group on English achievement. However, the motivation and cognitive characteristics of the system have been very positive. Overall, the subjects agreed that the system is useful and helpful in English learning.
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