Abstract
This paper describes the accretion representation for scrutable student modelling. Essentially, the representation maintains a times-tamped collection of the evidence about each component of the student model. This is interpreted by a resolver at the time that a teaching program needs to determine the value of parts of the model.
The accretion representation treats external evidence as ground assumptions which are normally kept long term. By contrast, the student modelling system’s internal inferences are handled quite differently. This approach supports long-term modelling of the learner’s knowledge and other characteristics. It was used in large scale modelling and coaching experiments for knowledge of a text editor.
An important concern for the representation is to support scrutability of the student model. This notion is explained in the paper and linked to the design of the accretion representation.
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Kay, J. (2000). Accretion Representation for Scrutable Student Modelling. In: Gauthier, G., Frasson, C., VanLehn, K. (eds) Intelligent Tutoring Systems. ITS 2000. Lecture Notes in Computer Science, vol 1839. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45108-0_55
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DOI: https://doi.org/10.1007/3-540-45108-0_55
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