Artificial intelligence and tutoring systems: computational and cognitive approaches to the communication of knowledge
Building problem solvers
Learning and instruction in simulation environments
Learning and instruction in simulation environments
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
Domain-Independent Error-Based Simulation for Error-Awareness and Its Preliminary Evaluation
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Proceedings of the 2007 conference on Supporting Learning Flow through Integrative Technologies
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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 in causing 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.' Since the method used in previous EBS-systems was very domain-dependent, this paper describes a method for making EBS based on any inconsistent simultaneous equations by using TMS. It also describes a set of general heuristics to estimate the ‘unreasonableness' of physical phenomena. By using these, a prototype EBS-system was implemented and examples of how it works are described.