Computational Mathetics: Towards a Science of Learning Systems Design

Abstract : The aim of this report is simply to help put the design of computer-based systems to support learning on a more scientific footing. The aim is simply stated, but its achievement is more difficult. For one thing, it is not at all obvious what "more scientific" means in this context. However, it is essential for AI-ED research to take better account of the concepts of 'situation', 'context', 'community', 'discourse', 'social learning', and so on, but these terms need to be defined, not used as mantra. The language of AI is offered as a way of defining and then analysing such concepts. That will be the aim of 'computational mathetics'.
Type de document :
Ouvrage (y compris édition critique et traduction)
Unpublished book, pp.148, 1995
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https://telearn.archives-ouvertes.fr/hal-00190503
Contributeur : Jerome Zeiliger <>
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John Self. Computational Mathetics: Towards a Science of Learning Systems Design. Unpublished book, pp.148, 1995. 〈hal-00190503〉

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