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- W1851520608 abstract "In order to learn efficiently by means of a teaching system, some intelligence is required not only on the part of the student, but also on the part of the system. This means that the system's behavior is to adapt to the learning process the student is subject to while working with the system. This in turn requires a powerful and flexible interface driven by a sophisticated management system which makes use of an on-line student model along with a psychologically valid, thus a cogni-tively plausible representation of the domain. We will present the AI-based learning environment DiBi which we have implemented as a microworld for a physical problem domain to address these topics. The DiBi system presents a form of disk billiard which embodies the laws underlying elastic impacts in classical mechanics. DiBi is based upon a rule-based domain representation and a graphical interface which allows interactions in a direct manipulation style. The acquisition of expertise on the part of the student can be understood as experienced-based inductive learning which takes place during the interaction with DiBi. The development of the notion of “evolutionary student models” is to support the underlying style of qualitative, case-oriented reasoning and to facilitate explanations and coaching. The basic idea is to achieve more consistency between the representation of the domain expertise and the knowledge acquisition processes going on while the domain is being explored by means of the system." @default.
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- W1851520608 date "1991-01-01" @default.
- W1851520608 modified "2023-10-16" @default.
- W1851520608 title "Domain Representation and Student Modeling in a Microworld for Elastic Impacts" @default.
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- W1851520608 doi "https://doi.org/10.1016/b978-0-444-88602-6.50023-2" @default.
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