Artificial intelligence and tutoring systems: computational and cognitive approaches to the communication of knowledge
Building problem solvers
Machine Learning for User Modeling
User Modeling and User-Adapted Interaction
Conceptual Changes in Learning Mechanics by Error-based Simulation
Proceedings of the 2005 conference on Towards Sustainable and Scalable Educational Innovations Informed by the Learning Sciences: Sharing Good Practices of Research, Experimentation and Innovation
Proceedings of the 2007 conference on Supporting Learning Flow through Integrative Technologies
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
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Error-based Simulation (EBS) is a framework for assisting a learner to become aware of his errors. It makes a simulation based on his erroneous hypothesis to show what unreasonable phenomena would occur if his hypothesis were correct , which has been proved effective as counterexamples to cause cognitive conflict. In making EBS, it is necessary (1) to make a simulation by dealing with a set of inconsistent constraints because erroneous hypotheses often contradict the correct knowledge, and (2) to estimate the 'unreasonableness' of phenomena in a simulation because it must be recognized as 'unreasonable.' We previously proposed a technique (called 'Partial Constraint Analysis (PCA)') for making EBS based on any inconsistent simultaneous equations, and a set of domain-independent heuristics to estimate the 'unreasonableness' of physical phenomena. In this paper, we describe a prototype EBS-system implemented by using these, and show the results of preliminary test which verified the usefulness of our method.