The Unified Modeling Language user guide
The Unified Modeling Language user guide
A Support System for Modeling Problem Solving Workflow
ICCE '02 Proceedings of the International Conference on Computers in Education
An ontology based reflection support system to encourage learning from mistakes
AIA'06 Proceedings of the 24th IASTED international conference on Artificial intelligence and applications
Design of an Environment for Developing Presentation Skills
Proceedings of the 2006 conference on Learning by Effective Utilization of Technologies: Facilitating Intercultural Understanding
Framework for Problem-Solving Based Learning in Nursing Domain --A Practical Study --
Proceedings of the 2006 conference on Learning by Effective Utilization of Technologies: Facilitating Intercultural Understanding
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In the cognitive science field, many researchers have proposed a concept whereby meta-cognition plays an important role to acquire expertise and transfer it. Our research goal is to develop a methodology for building sophisticated learning systems which can effectively facilitate learners' meta-cognition. The intelligent novice is good at observing knowledge objectively and producing an efficient plan of learning processes. On the other hand, it is not so easy for an ordinary novice to perform meta-cognitive activities. We must model these two types of learners for building learning systems that can support ordinary novices effectively. In this paper, we build cognitive models that capture human factors to perform meta-cognitive activities as a basis of learning systems development for facilitating meta-cognition based on the knowledge in cognitive system engineering and cognitive psychology fields. Then, we build an intelligent novice model that can explain the characteristics of them. Lastly, we clarify design rationales of our system called Kassist based on the models.