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The traditional ITS have considered the learners as a knowledge receiver. The recent development of teachable agent make it possible to provide the learner with an active role as a knowledge constructor and to take initiatives to persist in learning. In order to make an adaptive teachable agent that responds intelligently for individual learner, it should(More)
Recent development of teachable agent focuses on individualization and provides learners with active roles of knowledge constructors. The adaptive agent aims to maximize the learner’s cognitive functions as well as to enhance the learner’s interests in and motivation for learning. To establish the relationships between user characteristics and response(More)
CAL (Computer Assisted Learning) is one of the learning tool utilizing computer and network technologies. CAL provides new learning environment which is adaptive to each learner’s characteristics. Although learner can learn by interacting with the computer, most research on CAL has mainly focused on enhancing cognitive aspects in learning. However, the(More)
Teachable agent (TA) is an effective way to motivate learners by involving learners in active teaching process (Kim et al., 2005). However, in order to enhance motivation and maintain interest more optimally, the learner’s ongoing changes of interest and comprehension level should be assessed accurately and adaptive interface should be provided. This study(More)
Introduction The researchers in the field of cognitive science and learning science suggest that teachable agent (TA) induces the effective learning (Kim et al., 2005). However, the effects of TA on interest are not universal. Rather its motivational effect may vary depending on individual characteristics of the learner. This study is conducted to(More)
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